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Skills for DEIB: Building the Muscles We Need

Posted on Monday, March 29th, 2021 at 6:52 PM    

Why We Care

Tell us if this sounds familiar to you:

Company ABC: “We’re committed to ensuring diversity, equity, inclusion, and belonging (DEIB) at our organization and, to show that we mean it, we’ve recently implemented a new DEIB program. We also aim to increase our diversity numbers from X% to Y% in the next N years.”

News headlines a few months later: “A new report on Company ABC details new employee complaints about the conduct of executives and leaders. The report contains details of a “toxic and exclusionary culture” as described by many employees at the company and includes inappropriate remarks made by people at the company.”

We bet you’re able to name a company (if not 2 or 3) that would fit this scenario, especially given the social justice events of the last year.

Unfortunately, scenarios such as this are all too common. Even though a company might think it’s taking the right steps by implementing diversity, equity, inclusion and belonging (DEIB) policies and processes, it could still foster an environment in which people feel left out, discriminated against, and marginalized. A study conducted in 2019 revealed that 40% of people feel physically and emotionally isolated or excluded in the workplace.1,2

At a minimum, a culture that alienates certain sections or groups of employees can make employees uncomfortable with and disengaged from their work, resulting in orgs losing untold hours of productivity. A recent 2020 study into inclusive workplaces found that 45% of the survey respondents didn’t feel included in their workplaces and three-quarters of those felt disengaged from their organization.3

And, at its worst, a toxic and hostile work environment can result in people leaving their jobs or taking legal action, and / or in orgs missing out on critical talent. The same 2020 study found that 39% of the survey respondents reported having turned down or deciding not to pursue a job because of a perceived lack of inclusion at an org.4

Skills: The Muscle We Need?

As we’ve previously written on this topic,5 a holistic DEIB system is one in which every organizational process, action, policy, or decision is reviewed through a DEIB lens. We believe a systemic approach to DEIB is extremely critical to driving equitable change in orgs today. Yet, such a system is comprised of individuals and it’s often the interactions between people that can cause DEIB challenges.

Unfortunately, though, the effectiveness of many orgs in encouraging change in the behaviors of individuals is poor: It’s been well-documented that most diversity training doesn’t work.6 Further, unconscious bias training—which has been the rage for the last 5 years or so—also has relatively little evidence7 to show that it can drive changes in behavior.8

We’ve, therefore, been scratching our heads, trying to identify what org leaders should be doing instead. After a lot of thinking, we’re wondering if by focusing so much on changing behaviors, orgs have been missing something else that matters.

What if, instead of focusing on DEIB-related behaviors, we should be focusing on DEIB-related skills?

Stepping back: What’s the difference between behaviors & skills?

You may wonder what the difference is between a skill and a behavior. Many perspectives exist on the distinctions and, to keep it simple, lets focus on 2 key differences:9

  1. Skills transcend context (or circumstances) while behaviors are context specific. If people have mastered a skill, then they can apply that skill in different contexts, whereas a behavior can only be exhibited in a specific context.
  2. Skills are applied, meaning they’re “how” you do something. Behaviors, by contrast, are exhibited, meaning they’re “what” you do.

For example, someone might behave erratically (the what—behavior) in a situation, by applying illogical reasoning or lack of thoughtfulness (the how—skills).

So, how does that apply to DEIB?

The distinction between skills and behaviors matters because it highlights the problem with a lot of DEIB training: It focuses more on the “what”—the kind of behaviors people should exhibit—instead of on the “how”—the skills they need to develop that then result in desired behaviors.

Another problem with a lot of DEIB training is the focus on helping people understand what their behaviors should be in certain DEIB situations (e.g., a situation that involves sexual harassment or blatant discrimination), instead of focusing on the skills needed to effectively respond to such situations. This issue arises because the same behavior might not be applicable in a different DEIB situation—but, if an employee has the necessary skills, then they’ll be prepared to respond more effectively in any DEIB situation.

DEIB-related skills

Because skills transcend context, they can be applied to different DEIB situations. For example, in an interview we conducted years ago, an enlightened D&I leader told us:

“Managing conflict is critical for D&I. You have to be open to different perspectives, know how to manage the discussion around those, and be able to help the team get to a better resolution. If you can do that, you can be both diverse and inclusive.”

Conflict management is one such critical skill that can be applied in various DEIB situations.

Recently, a number of articles have shown how skills, such as empathy, are increasingly seen as being crucial to fostering a culture of inclusion and belonging. For example, research shows that a combination of awareness around bias and high levels of empathy / perspective-taking can increase feelings of inclusion by up to 33%.10

Listening is another skill that can have a critical impact on feelings of inclusion. Growing evidence shows that leaders who listen to their employees are able to foster productivity, emotional connections, and reduce conflict or misunderstandings.11

“When we listen and celebrate what is both common and different, we become wiser, more inclusive, and better as an organization.”12

—Pat Wadors, ex-CHRO, LinkedIn

In fact, listening became one of the most needed skills by orgs as a result of the changes in work environments brought about by the disruptive events of 2020. According to learning provider Udemy, listening was the most sought-after communication course topic offered by the platform in 2020, with a course consumption percentage growth of 1,650% from 2019 to 2020.

“In a year where we’re all searching for ways to relate to each other and feel connected during uncertainty, it’s completely understandable why listening would be one of the most sought-after skills.”13

—Shelley Osborne, Vice President of Learning, Udemy

Now that we’ve discussed the importance of skills for DEIB, let’s look at the status quo.

Skills & DEIB: Ready to be Understood

Focusing on developing DEIB-friendly skills as a way to increase DEIB in orgs seems like a very obvious solution. However, we haven’t seen much research on this topic.

Most of the articles we’ve seen so far seem to focus on a single skill—such as vulnerability14 or empathy15 or openness16—and how each can impact DEIB. Relatively little has been written on groups of skills that can impact DEIB. Of the articles we’ve seen, there seems to be a lot of anecdotes and opinions, and too little structured research, either quantitative or qualitative. (But if you’ve seen good articles, send them our way!)

Further, we haven’t seen research on how to holistically approach the identification and development of these skills, nor have we seen any focus on the role technology can play in supporting the development of these skills.

We believe this lack of data and insights results in orgs not focusing on improving DEIB-friendly skills. In some instances, orgs are providing one-off efforts—such as offering single-skill training sponsored by an employee resource group (ERG) or the learning team—but those are hardly comprehensive approaches to improving the DEIB skills of the entire org.

Our hunch is this: If organizations approached DEIB skills holistically, then we might see some meaningful movement on critical DEIB outcomes—plus a lot of others that we care about.

Our Hypotheses

We have the following hypotheses for this research:

  • A subset of skills are critical to fostering an environment of DEIB
  • Orgs in which such skills sets are present, along with a clear DEIB strategy,17 will have stronger DEIB, talent, and business outcomes than those that don’t
  • Employees / managers and HR / DEIB leaders will have different opinions on what those skills sets are
  • Orgs can build into their talent practices a focus on these skills, effectively weaving DEIB and talent efforts together
  • Tech plays a role in scaling the development of these skills

What We’ll Research

Through this research, we seek to answer the following questions:

  • What are the skills that contribute to DEIB, specifically fostering diversity, enabling people to feel included, and building a culture of belonging in the workplace?
  • What can orgs do to develop these skills, including specific approaches, modalities, etc.?
  • How can orgs leverage those skills to drive DEIB?
  • What is the role of tech in enabling this to happen?

We plan to include the following groups of people in the research:

  • DEIB leaders
  • HR / learning leaders
  • Operational business leaders
  • Managers
  • Employees (especially ERG leaders)
  • HR tech vendors (focused on this topic)

How to Participate

We’ll be conducting this research over the next 3-5 months and invite you to participate in the study. Currently, we offer you 4 ways to participate:

  1. Answer this short questionnaire. Help us understand which skills you think are most critical to fostering DEIB and what specific questions you think we should address in our study.
  2. Let us interview you. We’re looking to interview 4 groups—if you're in one of them and are up for a 30-45 minute interview, reach out to us at [email protected] and we’ll schedule you at your convenience:
    • DEIB leaders
    • HR / learning leaders
    • ERG / BRG leaders / other business leaders involved in DEIB efforts
    • HR tech vendors (focused on this topic)
  3. Join the conversation. We’ll be conducting roundtables on this subject starting in April. Keep your eyes open for information on the specific dates—or reach out to us at [email protected] and we’ll send you an invitation.
  4. Share your thoughts. Read our research and tell us what you think! Shoot us a note at [email protected]. Your comments make us smarter and the research better.

The Skills Obsession: The Price of Skills Debt

Posted on Tuesday, March 23rd, 2021 at 3:00 AM    

Listen

Listen to my podcast

Guests

Matthew Daniel, Principal Consultant of Guild Education

DETAILS

“When software releases went from Microsoft releasing once every other year to releasing 16 times a week, you know, like all that started to happen; our ability to keep up with the world around us really started to decline.” Whatever else he is (and he is many good things), Guild Education’s Matthew Daniel is genuinely passionate about skills. Scrub that: he’s agonized about them—and he’s even more agonized about the trouble we’re storing up for ourselves as a society around them. As we find out in our hour together, he fears we’re wasting a lot of time and missing a lot of opportunity chasing the wrong metrics about them, ignoring vast swathes of the ones our workforces (especially our frontline teams) have. But his agony does lead to positivity, and we think you’ll agree with him when he says the original purpose that got so many of us into L&D will help us win through.

Follow Matthew Daniel on LinkedIn here

Find out more about Matthew and his work at Guild here

Check out some of his many independent thought leadership pieces for CLO magazine here

Webinar

Workday will host an exclusive live webinar towards the end of the season, where you can meet the Workplace Stories team of Dani, Stacia and Chris, and join in a conversation about the future of skills and skills management. Find out more information and access content at www.workday.com/skills. 

Partner

We're also thrilled to be partnering with Chris Pirie, CEO of Learning Futures Group and voice of the Learning Is the New Working podcast. Check them both out.

Season Sponsor

We are very grateful to Workday for its exclusive sponsorship of this season of the Workplace Stories by RedThread Research podcast. Today, the world is changing faster than ever, and you can meet those changing needs with Workday; its one agile system that enables you to grow and re-skill your workforce. Workday is a financial, HR and planning system for a changing world.  

TRANSCRIPT

Five Key Quotes:

When computing moved to the cloud, the frequency of upgrades to software and new innovation that could happen started moving at such a pace. I just finished Michelle Weise's book Long Life Learning, and there's actually a graph in there that talks about where humans were kind of in front of the technology, and then there was a point where technology moved in front of humans. I think it's been pronounced at different times, we’ve definitely had that, but I think when things moved into the cloud, automation became something happening more quickly. When software releases went from Microsoft releasing once every other year to releasing 16 times a week, you know, like all that started to happen; our ability to keep up with the world around us really started to decline.

I think there are a lot of days that we in talent development can't see the forest for the trees. We get really caught up in semantics, in instructional design methodology, in which learning system we're going to have, and whether we're doing workflow learning

I work in learning and talent development in companies. And she says, Oh, so you're one of the people that helps people that already have skills get more skills.

If a CEO comes to a CLO and says, do we have the skills for the future? The way they will know that is not because they have a skills cloud, it’s because their intimacy with the business leaders and business strategy lets them articulate where the business is going.

What skills should we have? How do we solve this?—from deep down in the deepest of my gut, I am saying, do not forget why you decided to do this. Stay focused on the impact that we have. Do good work. Solve the problems, but ultimately do not lose sight of our frontline, of our non-exempt employees of the talent and potential we have in our organizations, and let's go change the world. Let's make it better. Let's do the work, figure it out, and leave the world better when it's all said and done then than where it is today.

Dani Johnson:
Today, we talk to Matthew Daniel of Guild Education.

Matthew Daniel:
We are creating skill debt. I personally think that when I look in the mirror and I look at 88 million Americans—and maybe you don't love that number, you want to cut in half, whatever the number is you want to take—we have a skill shortage. And that skill shortage is the result—brace yourself—it’s a result of Learning and Talent Development not doing their job. And I celebrate that number, because it's so much opportunity; never have we mattered more!

Dani Johnson:
Matthew Daniel is the principal consultant on the employer solutions team at Guild Education. His focus is on supporting Fortune 500 companies to put together plans to up-skill and re-skill their talent for the future of work, especially in light of COVID.

Guild is at the forefront of the future of the work movement. They partner with Fortune 500 companies and nonprofit universities to offer educational benefits to their employees with a focus on frontline workers. Some of their partners include America's largest companies like Walmart, Disney, Discover, Taco Bell and Chipotle.

I have the opportunity to talk to Matthew about once a month about skills re-skilling, skilling 2.0, and everything that's going on with respect to it, and I found that he has a really interesting perspective when it comes to skills and its impact on frontline workers and diversity and inclusion. One of the things that captivates me about how Matthew speaks about skills is his ability to think about things differently. Matthew steps out of the traditional way that we talk about skills and introduces this concept of ‘perishable’ skills versus ‘durable’ skills that I find really intriguing.

Dani Johnson:
Matthew, welcome; we’re very happy to have you today on our podcast about Skills. This season, we're talking about all things skills, and you and I have had several conversations about the ins and outs of what's going on in that world, so thank you very much for joining us.

Matthew Daniel:
Yeah, it means I’ve been given the opportunity to get on the phone and rant and rave about skills. We're going to do it, so thanks for the opportunity to chat.

Dani Johnson:
But you're one of the most passionate people I've ever talked to you about this, so we're, we're very excited to have you here just to start out. I'm wondering if you can give us a brief overview of you and your work at Guild, kind of what you do.

Matthew Daniel:
So me as a human; I’ll just say 15 years in learning and talent development, and I guess longer than that now, but incredibly passionate about helping people develop the skills that they need to go be successful, to be better, to do better, and the impact that that has on families and generations long after this moment.

And so that makes me really passionate. That's brought me to Guild, and Guild has this mission really to unlock opportunity for America's workforce, specifically through education; we use a double-bottom-line business model that does well by doing good. So if I say that a little bit differently Guild is a B Corp, and that allows us to a) really work with both on the education side, the learning side, and with corporations to put together education benefits in a way that a gets to business strategy and b) really elevates the employee experience.

We’re hyper-focused on the frontline early career employees, and so we built out this dynamic learning marketplace with universities and learning partners that focus on serving adult working learners. These aren't colleges and universities that are focused on 18 to 22 year olds; these are really programs that are focused on people who have jobs, who have kids, who have a regular job, life, and help them develop new skills.

I actually work directly with the employer partners. So we have employers that come to us like Chipotle, Walmart, Disney, folks like that, who are trying to transform their workforce to engage their workforce. And so I get to work with a team of economists and learning folks and I get to work with consultants who are looking at business strategy and really thinking about talent a couple of years down the line, and how do we actually build out programs and policies that help move people in an organization into these programs, and then really develop the skills that are needed for a couple of years down the line to help the business actually execute on strategy.

Dani Johnson:
It sounds fascinating and it sounds super necessary right now, given the state of the world. I want to ask you a question about your own skills; tell us a little bit about the skills that you need for your work today, and how you got them.

Matthew Daniel:
Number one, obviously is talent strategy, and that is a thing that I got from doing. I was in-house at Capital One, I’ve been around learning and talent development for a while, and I've gotten to see it at a number of large organizations. Usually at moments of transformation, I started with GP Strategies and we did a lot of outsourcing in the learning space; they still do, but it gave me a chance to be at places like Microsoft or Cigna or Bristol-Myers Squibb at the moment that they were changing the way they were approaching learning. And so I got to see a lot of how you build an L&D function in a way that actually supports the business. And then I went in-house at Capital One and had the great fortune of being there in the middle of our digital transformation, and so that skill of how do I think about the talent I have and up-skill those folks and how am I bringing in the right talent, and then what is the up-skilling even the right talent needs whenever they land that came through reps.

Another skill: writing and research is a part of my job, and I wanted to give a plug to Ms. Linda Williams in Whitehall High School for Junior Level Advanced Grammar; I have never had a better writing course in my life than I had my junior year of high school. So like that skill that I take and use every day, everywhere, was something that started there. And of course it just got better. On the research side, I have historiography, I have a BA in history and historiography, if you don't know it it's like the way that history is written. It was one of my favorites; I didn't even know what it was. It was one of my favorite courses in the world of fake news. Like the first time that I read three chapters on Reconstruction by different authors who like saw that through different frames, I just realized how much bias we bring to them, which has really been a skill, you know, over the years that has served me well, as I'm trying to look at business strategy and think about like, how do we approach this and how is my own bias weighing into the solutions I'm bringing to the table anyway. And that's about enough about that.

Stacia Garr:
You and I are like soul twins on this; I’m a historian as well, and my favorite courses were on propaganda. And then also similarly I took a single course, whatever, 12 weeks on Abraham Lincoln, I read like 10 different books on Abraham Lincoln and how they all portrayed him differently and how the authors were influenced by where they were in the time in history,and all this other stuff.

Chris Pirie:
We have a whole ‘poets versus quants’ kind of thing through the whole season emerging here. Hope the best one wins!

Dani Johnson:
We talked a lot yesterday about soft skills and how some of our non-traditional backgrounds have really helped us in the work that we do now, especially the research and the writing and those types of things. It was interesting that we think our kids think when they get out of college, that's what they're going to be doing the rest of their lives. That's hardly ever true; I think about, I mean, I graduated with a master's degree in mechanical engineering, and I am worlds away from that.

Matthew Daniel:
All I wanted from college was to get out for three and a half years, because my big goal was just to get the credential; like, I didn't want to go to college, I really just knew that the credential played into my opportunities in the future. And I came from a family where literally no-one had ever graduated from college before, and I was a first-generation college grad, and I just knew it was important to open doors. Other than that, like all I wanted, History was the thing that I could stay engaged with and like to take 20 hours a semester and finish. And so that's what I did.

Dani Johnson:
That's awesome. But I want to switch over a little bit to just kind of skills in general. So why do you think skills are hot or important right now?

Matthew Daniel:
Skills were always a bit of a challenge. I mean, if we go back decades, but ultimately when computing moved to the cloud, the frequency of upgrades to software and new innovation that could happen started moving at such a pace. I just finished Michelle Weise's book Long Life Learning, and there's actually a graph in there that talks about where humans were kind of in front of the technology, and then there was a point where technology moved in front of humans. I think it's been pronounced at different times, we’ve definitely had that, but I think when things moved into the cloud, automation became something happening more quickly. When software releases went from Microsoft releasing once every other year to releasing 16 times a week, you know, like all that started to happen; our ability to keep up with the world around us really started to decline.

So I think why skills are hot in one form is like innovation, cloud technology, automation; I think on another broader issue of like, why is it hot in companies? Ultimately, buying our way out of talent shortages through talent acquisition is not a sustainable approach. It's pushing wages higher, it's in HR, talent acquisition is large, is highly operationally focused and is a large volume of activity in the organization. And it is just not sustainable to continue. I mean, there was a time in companies where all promotions hired from internal talent, like over 70% of what you had was coming from internal, that change really pushed outside, we needed skills and we were infusing it from outside the organization, but ultimately it's not a great business strategy to always think you can hire all the skills you need in the future.

And so this is from a talent development lens. It's really pushed us in my opinion, into a conversation about skills continuously, because we're not just needing to hire it, it’s not sustainable to hire it the way we are now we've got to develop those skills, and so it's become a kind of an economic conversation about supply versus demand. And it just has pushed that conversation to the top.

Dani Johnson:
That's really interesting. I don't ever, I don't think I ever sort of glommed onto the fact that the term talent shortage comes from, you know, acquiring talent from the outside. If you were continuously developing your people, you'd never have a talent shortage.

Matthew Daniel:
Right.

Dani Johnson:
Talk to me a little bit about soft skills in relation to what you just said, because I agree with you that, you know, the cloud has definitely accelerated everything. We had a great conversation with Lisa Kay Solomon and she talked a lot about soft skills and design and some of those types of things. I'm interested to understand how those soft skills fit into the conversation.

Matthew Daniel:
Yeah, this is so interesting.

Dani Johnson:
And I know you don't call them ‘soft’ skills.

Matthew Daniel
I don’t. You know, here's the thing—I think I'm going to go on a tirade for just a second, you guys figure out how you use this—I think there are a lot of days that we in talent development can't see the forest for the trees. We get really caught up in semantics, in instructional design methodology, in which learning system we're going to have, and whether we're doing workflow learning. And does it all matter, like, I don't know if this is appropriate for a podcast, but some of that is just ultimately bullshit, like, go ahead and put the bleep over by word there. But ultimately we are spending a lot of time and energy around it, should it be called soft and hard and all those things end up being more marketing focused than they are substantive in the field that we're in.

Ultimately, here's the challenge that I think we're up against: we have 88 million Americans who don't have the skills they need to lead us into the future of work. And that's a problem. And so taking a step back. I think we, through both working in Entangled and working at Guild, we had a project that we were doing for a university that was trying to figure out how do we handle lifelong learning: how do we handle the complexity of what is people coming in and out of the university throughout a very long life, and where their real challenges that they're up against? And about that time, you've also got this Bersin by Deloitte data point, it’s made it all over the place and it was based on other research, but it was the durability of skill or the half-life of skills is roughly five years; in the more technical, it’s closer to two and a half. And so the response from the L&D community has been, especially in this cloud-based technology, it's all changing is to start to index heavily on, then we have to build an entire organization, systems, tools, models, so that we are constantly pumping out shorter content more frequently. Like that was the response to that data point. And a lot of it has to do with marketing. Right? Like everybody launched latched on to that con that concept. And they were like, great; make it short, make it fast, get just the skill you need and go. And what we said is, okay, wait,let's just take that some school skills are more durable and some are less durable. And let's think about the implications of that in itself, which is to say if the entire L&D function spins up a ton of energy around just pumping out perishable skills, are we creating the talent that needs to lead us to the future, or are we just going to have to constantly keep finding talent as a result? We're going to have to go shop for whatever company has talent that's two years ahead of me? Great, Capital One went through the digital transformation five years ago I'm going through it now, so I'll just go hire all their talent because they've already done this thing, they have those skills rather than looking at my people and going, like, do we have the durable skills that we need in our shop to get through this transition, to get through this change, have I built a workforce?

And let me just talk about when I say durable versus perishable, what we kind of separated into three buckets and the way that we talk about it and think about it. There are highly durable skills, and these are dispositions of ways of thinking and acting at this really broad scale. Then there's semi-durable skills, which we kind of classify as frameworks or methodologies. They stick around longer than just what technology you're using today, but they may not last as long as this disposition about for you, the way that you go do critical research, right? You have a way of thinking of the world, of taking really complex ideas as an analyst and breaking it down and solving the problem you use methodology or semi-durable approaches, which changed every couple of years, they're more stable. And then on the last bracket, we talk about perishable skills. So that's generally probably more related to technology; I mean, let's be honest, Microsoft Word is about as reliable a skill as you could have gotten, right? Like technology versus soft or, you know, those things don't really matter, the question is how durable is the skill, in my opinion. And so when we start thinking of that, if we think of agile, you know, durable agile skills or taking really complex products and bringing it down in the minimum viable products, that's the dispositional skill of being able to do that. You do that through scrum and kanban, those are your semi-durable methodologies. And then ultimately you're using, you know, whatever the platform is, Asana or a JIRA or whatever that thing is. And knowing how to use that tool to live out the method, to then live out the concept of delivering—those are kind of in higher order. So here's the thing, Asana you're going to replace that in three years, we all live in America, we know like you're going to replace that whole technology over and over again. The method is a little more stable, but the disposition is the thing that is most stable or durable.

So here's where that landed us. If some skills are more perishable and some skills are more durable, what are the implications of that? And the more that I thought about this, and of course, Guild brings this lens to the table where we're constantly thinking about the frontline, If I think about the way that I distribute the development of skills in my organization and if I'm really honest, when I look in the mirror, I give the most durable, dispositional skills to executives, to leaders, Ivy League grads, because like number one that costs me the most to hire and number two, like I'm going to make the investment because they're going to be my leaders. And then we look at the frontline and we kind of look at them and go, well, you know, heck, you're making $17 an hour, you’re going to go somewhere else or we're going to replace you. So let's just teach you how to click the button in the system that we have today to make sure that you can do the task that we have.

And to a certain degree, I think workflow learning in the concept of embedded learning, reinforces that concept more than anything. I mean, if workflow learning is about doing while learning, which is a little bit different to me where you're thinking about how do I actually practice the skill? That's one thing. But if workflow is embedded from the sense of learn how to click the button or learn how to say the thing, when you get the phone call or just super-tactically, what process do I use today to process this thing in my large company, then all I am giving you, over and over, is a perishable skill. You guys have worked in the technology world, we call when you make bad decisions about coding a system to give a user what they want, we call it technical debt. We're like, Oh, you want that button on that page? Well, the architecture of our system doesn't really work that way, but we'll give you that button, and we just know every release we have to maintain that. It's a problem, It's trouble, but we’ll go do that thing.

We are creating skill debt. I personally think that when I look in the mirror and I look at 88 million Americans, and maybe you don't love that number, you want to cut in half, whatever the number is you want to take, we have a skill shortage. And that skill shortage is the result—brace yourself—it’s a result of learning and talent development not doing their job. And I celebrate that number because it's so much opportunity—never have we mattered more!

But honestly, when I look at that, as somebody who's been in this field for 15-plus years, it breaks me to think that we have created an industry that ultimately sells products so well and has a growing budget and it's doing great things, and yet the impact that we're having is diminishing in terms of impact, especially the frontline employees who right now in a K-shaped recovery of an economy are taking the greatest hits.

Something is fundamentally broken about the way that we're thinking about this. And I don't know that I have the solution to it, but what I do think is that if we walked into to developing our talent and a) didn't say, oh, you’re frontline employees so we don't need to invest less, but b) if we also said, how do I make sure that while I'm teaching you to click the button, because you know, by God, you've got to do that thing and keep it going, how do I make sure that I'm giving you frameworks or similar durable skills and dispositions, or ways of thinking about problems and solving problems and approaching the world that set you up to last in this company longer and set us up as a company to be better able to navigate the next challenge without me just teaching you how to click the button.

Dani Johnson:
That was very eloquent and I want to point out that you wrote an article on this in CLO magazine, and we'll put the link on the page so that the people can get to that. And I think the emphasis that you put on frontline workers leads me to my next question is, you know, how do skills and access to data about skills affect diversity, equity, inclusion and belonging?

Matthew Daniel:
Ultimately, if this way of thinking about skills and the investment that we make in frontline skills, being more focused on throwaway skills, how to use the processes and tools that they have, the reflection moment that I have in that is that we—learning and development—could be reinforcing systemic inequities more than we care to admit.

Quick story. I'm starting at Entangled; it’s a lot of people who don't come from workforce learning. There's this young lady, she’s probably 24, 25 years old, she’s fresh out of grad school, she’s got an MBA. She's smart. We meet for one-on-one. I said, Hey, I'm Matthew, I work in learning and talent development in companies. And she says, Oh, so you're one of the people that helps people that already have skills get more skills. And I was like, I'm one of the people who takes everybody who graduates from college and gets them ready for the workforce. You know what kind of like in my head, I went on this whole, but that question—her name is Frances, that question that Frances asked me—that kept me up at night for the next couple of months, because I started asking myself if I reframe that question, was she fully informed in that question? Absolutely not, I mean, look, there’s Capital One as an example, there were 400 of us supporting 3000 roles where there are 30,000 defined skills, we’re trying to figure out how to keep the business running—it’s a hard job, right?

And this whole thing of skills is super hard, but ultimately I think we, forgive me for using the phrase, we kind of whitewash this issue, through like making courses and opportunities. Like, we go to our business resource group and we create some special employee resource group, whatever you call them, that we create kind of programs for diverse talent, a cohort of 20 per year to get into some kind of access, or we make our courses more diverse in terms of the representation in the course. And we're like, Oh, we pat ourselves on the back that we're doing work towards equity. And I think a really hard look that I've had to do in the mirror this year in reflection over the past 12 months is that I have stood up systems, created policies, established processes, all in the name of fiscal responsibility about, you know, how much do we have to spend on external content and what's our budget for these courses and how many people can we pay to have license to the system. And we have, over and over, eliminated the people at the end of the spectrum, frontline talent, from access to our content, to our systems. And ultimately not only have we created our own skill shortage by only focusing on the task in front of us; we've also robbed the opportunities from the talent.

We say all the time, talent is equally distributed, opportunity is not. And ultimately we in L&D may be robbing our organizations of some of the greatest potential in talent, because they sit in the frontline and they're non-exempt employees and so they just don't get access to content or the systems or the programs or the mentoring or the class. I think of Capital One, here's, you know, you're going to be an executive you come in and one of these rotational programs and we give you how the business makes money in presentation skills and storytelling skills, and we give you all those things, and then we wonder why the folks at that end of the spectrum performed better than folks in the frontline. We are clearly segmenting, I guess, is the kind word, but we are, we are dividing our talent. And that frontline talent is where most of our poverty employees that come from poverty live, where our employees that come from rural backgrounds, from black backgrounds and, and, and other people of color, we, we take those people and we do it in our heads by separating exempt versus non-exempt. But essentially what we're doing is we're locking down access to more skills to the people who would benefit the most from it. And I think that requires a hard reflection on if we're making the right decisions and what part we play.

Dani Johnson:
We completely agree—this has been a soapbox of ours for, I don't know, eight or nine months now. We're exempting the frontline, and we're also exempting those that aren't considered quote, unquote leadership or high potential. And so we basically rate people early on in their careers and that's who they are the rest of their careers, there’s not an opportunity to get out, which is kind of horrifying given the fact that we've made so many leaps and bounds to scale learning. It doesn't cost us as much as it used to, but we're still making that distinction between the haves and the have-nots when it comes to developing skills and giving knowledge.

Stacia Garr:
The potentially intriguing thing about skills, though, is that we may be able to use it to circumvent some of these decisions that we've made. So if you think back, you know, you mentioned Matthew, you’re, you know, first-generation college graduate, you know, there are plenty of other really smart people out there who may not have graduated college who have only a High School degree. My brother actually is one of them; he owns his own business, there was no big corporation that was going to take him because he doesn't have a college degree, but he’s an incredibly effective human being.

And so I'm wondering if, is there an opportunity for us to think about skills as a way to maybe bypass some of the traditional gates that we've put in place? You know, Dani and I have talked about how, you know, the requirement for a college degree for a lot of jobs is a little bit of a ridiculous thing. And so can we turn to skills instead as a way to think about, you know, whether it's the credentialing or it's the certification that someone can do the job, as a way to get around some of those gates that we've put in place that disproportionately impact some of these diverse communities.

Matthew Daniel:
Yeah, it’s a great question. And companies are doing that. I mean, there are companies who are getting a lot of notoriety for this. I think IBM has like 15% of their workforce that they are making, we call that skill-based hiring, right? That's the industry term for it. So you have companies like IBM, or Google has come out and said, they'll make hires that way, Apple’s done the same way. I even have a friend at Humana. They have, I think, eliminated ‘college graduates’ from something like 50% of their job postings, which is really significant. So does skill-based hiring help make up that ground? I hope and would wholly agree, but that has to be one of a part of an ecosystem.

So let's go back to what we talked about a moment ago. What, like, what's the big thing that we're trying to solve and it's an entire ecosystem. The people who help determine what skills you get are your state government in K-12, it's your universities, both private and public, in college, it's workforce development boards, state agencies then county structures. You have those of us in the workplace that are trying to develop school skills. And quite frankly, all of us are speaking different languages. We're using different skills, we're using different approaches. We're using a different technology—in fact, there aren't a whole lot of places we even interact with each other. You know, one of the reasons I loved Macy's learning conference is because all the K-12 and higher ed people that showed up, like I really thought it was weird for a really long time. What are they doing here with all of us learning people, but ed tech and corporate learning technology are getting closer and closer every single year. And so I think you're right on, and I want to see the whole world move to this, I actually have a piece coming out, hopefully in the spring about this concept of both skill-based hiring. But I think the other side of that is going to be when we do skill-based hiring, we need to acknowledge that there are going to be gaps. One of the things that I want to see in this world of skill-based hiring is this greater integration of talent acquisition and talent development. As a matter of fact, I just got a new mentor at the beginning of the year, and my new mentor is in talent acquisition because I just feel like I don't know enough about what happens on that side of the fence. And then in many organizations, excuse me, talent acquisition, talent development are a bit disassociated except for, with hypos, right, because hypos, we got to hire them, but we know they don't have all the things we need. So we're going to put them in these development programs, these really rich development programs.

And I think in this skill-based hiring world, if we walk into that and believe that we're going to hire all the skills that we need by eliminating the college degree, I don't think that's realistic, I think we're deluding ourselves. So there has to be a way that talent development and talent acquisition work together. And so I think of like gateway jobs skills that let's take a CSR, customer support rep, right? Most companies are loaded with CSRs, lots of talent there and there's a lot of need in computer user support specialists, it’s like a 11% growth over the next five years, as far as jobs go and so there's a lot of skill-matching.

To your point, where if we did better at looking at that from a skill standpoint, instead of just looking at a degree, we could actually say, well, you know, I could take you here and with one one month bootcamp, I could not hire a bunch of college grads and I could take people out of my call centers where I had a whole lot of talent, and move them over and easy to replace talent easier, certainly then computer user support. So if I start looking at what some of those pathways are in the organization and I intentionally build the infrastructure between talent acquisition and talent development to make sure I'm skilling people for that, then that can be a really successful approach in my mind. But it has to, it's an ecosystem, right? We're back to this; it’s a really big problem, and it needs really good partners within the organization and outside the organization who are looking at it and helping you solve it. But ultimately you put college degree as an on the job description and you've eliminated 76% I believe is the number of black candidates, and something like 80% of Latinx candidates. So like, yes, we will never get to equitable opportunities as long as we're making a degree a toll-gate.

Chris Pirie:
Could you talk briefly about the relationship between skills and experience? It seems to me as a hiring manager, one of the things that I would pivot more strongly on is somebody's experience rather than a sort of a list of skills that frankly are hard to describe and define?

Matthew Daniel:
So I've been a hiring manager; that’s one of the things that's always interesting in this conversation to me are people who talk a lot about skills, but have not really had to hire many people. I had a team of about 15 at Capital One and that 15 folks, each one of those job postings brought in more than a hundred people who applied for that job. And so I do think we have a technology gap here that just isn't scaled, the applicant tracking system just doesn't do a good job of helping us get through this issue, and it's just easier to put a college degree is like the thing that helps us. But Chris, the question is super-valid from the standpoint of how I don't just want to see a list of skills, right? I'm going to list skills that are no more valuable to me than the name of a college degree—maybe even less so. I do want to see the experience or the story. And then on the other side, we're still telling you, but I need a one page resume that you submit here. Like, we are putting this pressure on candidates that is just unreasonable. And we're putting pressure on hiring managers that's unreasonable. If you're getting 80 resumes, I mean, a good recruiter is filtering through that and giving you the 12, but also I didn't always trust my recruiters, I went through a lot of resumes myself and was like, did you see this project they worked on, this is exactly what I need. That's what I need. What's not in your job description. Well, you told me I needed to keep the job description consistent so that we didn't have any risk on compensation analysis. Right? Like this whole system is somehow broken.

But ultimately, yeah, you're right: the experience tells me a lot more than a list of skills. I want to know how you use those skills. And the example there is agile; when somebody says I've worked with agile, my question is what I mean, what does that mean? Like, does that mean you understand kanban or scrum again, the, the kind of middle skills. Do you understand how to use JIRA? Like you so good? You can put stories into, that’s one part of agile, or do you get it at a fundamental level or the dispositional level where you're thinking about how do I take really complex things and break it up? Which I also think is where some of the skill libraries that we have available to us fail us. When you get one word like agile to describe something that is massively complex, it does not tell me what I need to know.

Chris Pirie:
I'll give you an example of that. We looked at a skill library from, in my previous role from a very, very large provider who claimed to have hundreds of thousands of skills documented in their library, and we were rolling out cloud computing and we needed people who were skilled in managing containers. And it turns out that if you went to this skills library and looked at managing containers, it was always about moving big metal boxes around. So, you know, I think that the essence of this for me is we don't have the language to describe what we're talking about; it’s not precise enough that we can bring technology to bear on this problem of mixing the job that needs to be done with the people who have the capability to do it in a very friendly manner working on them.

Matthew Daniel:
That's right. You have like MZ partnering with Western Governors partnering with Salesforce and Google to work on the open skills network. So they're working on what is a definition of a rich skill descriptor, and putting context around it—MZ’s working on skills, not even just in language, but clustering, they're using machine learning to figure out what the clusters give context to a skill. So there is good work happening here, but it's not baked into the systems that we have today, it’s not baked into the processes and it's going to get better. Like I am a hopeful person; we are going to figure this out, the world is going to get better, but my God is it painful between now and then to see how broken it is and know that we want it to be more.

Chris Pirie:
I love the optimism, and I share your frustration about the capabilities of L&D teams; I mean, my life's work now is trying to fix that, or at least draw attention to it. And many people in the future might not have—in fact, many people today—might not have an L&D department, right? I'm a gig worker. I have stitched together five or six different jobs—we’re already 10 years from Daniel Pink's book Free Agent Nation, right? So what do you think about people who exist outside of corporations? It seems to me this fixing this is very important for them.

Matthew Daniel:
I'm just going to own that. I have spent almost the entirety of my career focusing on the Fortune 500. I actually, because I was thinking about this exact question this morning, I was looking up, my three-year-old is like, what are you doing, Daddy, can I have more cereal? And I am on my phone going and how many employees are represented by the Fortune 500, right? Like I am thinking about this exact question and how many people, it leaves out of the equation and quite frankly, small business, which makes up 50% of our economy, they don't have the means to do what we're talking about here. I mean, you're talking about gig workers, and gig workers have the obligation on their own to develop, and I was actually looking at some data on this, not too long ago in the IT space gig workers actually keep their skills up better than people who are in-house, so I think gig workers are less of a problem than small business employees, who need to have access to skill development, but are unlikely to get that coming from their own business.

Which is why I go back to the ecosystem; this is where I think having learning partners and some kind of a guide to help them get there that's not just selling me something, like I need a third party to help me make this journey in my own talent development that's not biased to just their own content, which unfortunately is what I get a lot of times.

Chris Pirie:
I have one more quick question, and this is on my soapbox, to use Dani’s phrase, is about the granularity with which we manage all this stuff a little bit related to the last question. You said something like 30,000 defined skills at one of your customers or one of the places where you've worked; in my experience, it all gets unmanageable very, very quickly. So what would your advice be to a learning leader today who is getting questions from their CEO about, do we have the skills for the future? And is being pulled by the industry into this big mapping exercise that's going to consume trillions of person hours. What would your advice be on how to think about the skills that my organization needs?

Matthew Daniel:
Are you sure Dani didn’t set you up to ask this question? Okay. So Dani and I have talked about this a bit, because I do think it's too unwieldy. I think that there are companies and organizations who have the means and capacity to go take on the entire skills cloud and figure out exactly what skills are needed and what the frameworks are. I think many organizations, especially in the scrappy L&D world, need… if a CEO comes to a CLO and says, do we have the skills for the future? The way they will know that is not because they have a skills cloud, it’s because their intimacy with the business leaders and business strategy lets them articulate where the business is going.

On that one, I want to nail it on the head that no matter how good the technology gets, it is not going to predict what skills are needed in the future, at least not anytime in the near future. You need to get that through your awareness of what's happening in the business and your ability to see what's coming down the pike—acquisitions, decisions about different products, all those kinds of things that's where that insight about whether or not you have the skills for the future should be.

The other thing that I'll say about this, and this is where Dani and I have spoken: I know the whole world is moving towards skills. I had a piece in Training magazine, not too long ago where I said like, don't figure out all the skills in your company—there are 30,000. Here's what I want you to do; I want you to go find the 10 jobs that are in greatest demand in your organization, and map the skills for just those 10 jobs. And then I want you to go find the 10 places where you are most likely to automate or lay people off, and I want you to go find their skills. And then I went from each of those, it's unlikely that one is going to match to the other, right? If ‘data scientist’ is your greatest demand, it's unlikely that CSRs are going to get you there in a short term, in, you know, six months of learning. What is more likely, though, is CSRs gets you to computer user support specialist, and computer user support specialists gets you to engineering. And then we have these kind of two-step processes: instead of solving for 30,000 skills, solve for the top 10 in-demand jobs and the top 10 in-decline jobs. And those are going to take you through; you'll end up mapping a solid 30 to 40 roles in your organization, but you'll actually have something you can go do three months from now. If you try and map the entire skill framework for your company three years from now, you will call me and say, well, we were getting really close and then we changed out our HCM, or we were getting really close and we decided to go with a new concept provider, or we've decided to old LSP, or it's always going to be disrupted by what's in the ecosystem, go solve the problem, get that done, earn the credibility, get better at it. And then you'll know whether that skills cloud actually is valid whenever it shows up at your door.

Stacia Garr:
I just want to comment, because I think that for kind of on the people analytics side, we've been doing a lot of this type of work with workforce planning, strategic workforce planning, but I want to kind of call out the thing that I think is maybe different than what you said, Matthew, which is this idea of kind of the two-step or even potentially three-step process where you truly are thinking about, you know, given those top 10 and those declining 10, how does that basically create or impact a talent pipeline between the two and kind of thinking about that connection?

And so I just want to call that out, because I don't think I've ever heard anybody articulate it in that way but I think that that could potentially be really powerful, particularly if you're focused in the way that you mentioned. And I think come to some of the themes we've talked about both within this podcast and also in our research, I think it's a much more humanistic approach than, you know, so many of the others, which are like, okay, well, you know, these 10 types jobs are going to go away and sorry guys.

Matthew Daniel:
I have a piece I'm working on for CLO next month, and what I have said is that, like the theme of the piece, the secret to talent mobility is humanity, not machinery. And I think it's wraparound support and people who can advocate for you, you are more likely to get more talent mobility through that than you are through your HCMS recommendation, that is the next skill that you need for now. There will be a time where it won't be that way, but ultimately right now, like use humanity to get you there and that's going to serve you well for the next couple of years.

Dani Johnson:
Couple of themes I've heard from you, Matthew and one is this, and it’s a really important problem to solve. We have to solve it. The second thing I heard from you was it can't be solved entirely with tech right now—it can’t, we have to leverage our humanness and all that comes along with that, including our ability to think reasonably and deeply about this, rather than just relying on technology. And then the third thing that I think I've heard is stories, strangely, like from the very beginning through the end of this conversation, I've been hearing stories. You can't look at a resume and decide if that person is worthy of a job; you’ve got to get into the stories, you can't just look at the data and decide, do you have the skills you need? You've got to get into the stories.

Every time I talk to you, I think to myself, man, this is a big mess and that the other thing that I think is, but I'm really hopeful that we'll get there. And that's one of the reasons that I've always really liked our conversations is because even though we're talking about really hard things and we're not there yet, you leave me hopeful for the future of solving this problem. So thank you so much for being with us today; it was fantastic, and we'll make sure that the articles that you've written about this topic are available on our website so that people can continue to study.

Matthew Daniel:
Can I leave with this? I want to leave with this. I said the reason I do this is because I want to make people better, and here's what I believe: I believe that if you are in the field of learning and talent development, or overall human resources, you didn't get into the field generally because you thought to yourself, Oh my God, I love HCMs, or you thought I can't wait to write the next policy to cover one of the big problems and exposures we have in our company. And you didn't think, man, I love laying people off, right? All those things that are a part of our job, as LMS is and SCORM and content integration, those are just the things. If you were in a room with me, it would be like guttural, like standing on a chair, yelling, is to remind this field of why we got in this: we got in this because we saw that people can be better, and do better, and that if we pay attention to people and we make investments in them it yields business results, but it also has generational impacts.

So as people out there are thinking about skills—what skills do we need? What skills should we have? How do we solve this?—from deep down in the deepest of my gut, I am saying, do not forget why you decided to do this. Stay focused on the impact that we have. Do good work. Solve the problems, but ultimately do not lose sight of our frontline, of our non-exempt employees of the talent and potential we have in our organizations, and let's go change the world. Let's make it better. Let's do the work, figure it out, and leave the world better when it's all said and done then than where it is today.

Dani Johnson:
That was beautiful. Matthew, thank you so much for your time and your passion. It's been a great conversation.

Matthew Daniel:
Thanks guys.

Chris Pirie:
We are very grateful to Workday for their exclusive sponsorship of this first season of the RedThread Research podcast. Today, the world is changing faster than ever, and you can meet those changing needs with Workday; it’s one agile system that enables you to grow and re-skill your workforce. Workday is a financial, HR and planning system for a changing world.

Workday will also host an exclusive live webinar towards the end of the season where you can meet the team Dani, Stacia and myself, and join in a conversation about the future of skills and skills management. You can find out more information and access exclusive content at www.workday.com/skills.

 


Learning Content In The 2020s: What The Literature Says

Posted on Monday, March 22nd, 2021 at 5:17 PM    

Looking at recent thought leadership in the L&D space, one glaring theme pops out—learning tech. Learning leaders, practitioners, and vendors alike are talking about skills tech, AR / VR, microlearning tech—you’d be forgiven for thinking, “It’s all about tech!” Our recent research confirms the ascendancy of learning tech.1

BUT.

Even as learning tech has its time in the spotlight, learning leaders are realizing that what they’re trying to share via tech—the information that helps employees develop—is equally if not more essential than the tech that delivers it. In short:

The effectiveness of learning tech relies on the strength of the learning content it conveys.

This brings us to our current line of research—content.

In recent years, we’ve seen a massive increase in the amount and types of learning content available to employees—both internally created and owned by the org (proprietary) and externally created (nonproprietary). With this expansion of options, L&D leaders are pressed to ask questions like:

  • Where should we get content? Should we create it in-house or acquire it from a third party?
  • Should the type of content (i.e., nonproprietary vs. proprietary) change how we deliver learning?
  • How can we avoid overwhelming employees with learning content?
  • Within my org, who should own what content?
  • How can we measure and improve the effectiveness of content?

These questions gave rise to the overarching research question we hope to answer through this work:

How can orgs enable employees to access the right learning content, at the right time, in the right format (to give them the right learning experience)?

Themes from the Literature

We reviewed the current literature on content (including content management, strategy, operations, and tech) to understand what orgs and thought leaders are saying about content. We also wanted to see if any key steps exist to deciphering how orgs think—and should think—about content.

The following word cloud is the product of the 50 articles that we reviewed (see Figure 1).

Figure 1: Learning Content Lit Review Word Cloud | Source: RedThread Research, 2021.

This word cloud illuminates several content-related trends.

  • First, Figure 1 highlights the significance of the word “more.” With an ocean of learning content available to employees now, people are overwhelmed. This reality was eloquently described by one author who said:

eLearning content is being created and shared faster than you can blink. While today's employees want to direct their own learning, digital information overload can make that a difficult task without a roadmap.2

This content overload gives rise to the question:

With so much learning content available, how can employees easily find what they really need?

  • The prominence of the word “need” in Figure 1 emphasizes the importance of enabling learning at the right time and place. For employees to learn in the flow of work, content must be easily accessible at the point of need.
  • Finally, “strategy” in Figure 1 is noticeably smaller than some of the other terms. This reflects a trend we see in the literature: Content strategy is present but isn’t a fully developed concept with L&D quite yet. By contrast, it is a fully developed concept with marketing and enterprise content management—and we drew on some of the literature from these areas for this lit review.

To add to this analysis, the literature reflects 5 key themes:

  • Content management tech doesn’t equate to a content strategy
  • Marketing and enterprise content management offer lessons about content for L&D
  • Democratizing content creation
  • Should delivery modality dictate content decisions?
  • Current literature says little about proprietary vs. nonproprietary content

Let’s dig deeper.

Content management tech doesn’t equate to a content strategy

Although many L&D articles reference content (CMSs) and learning content management systems (LCMSs), few address how to build a content strategy.

So what exactly is a content strategy? Author Chad Udell writes:

In its simplest terms, content strategy for formal learning is a holistic plan for content—the knowledge that you want the learner to receive and retain.3

A content strategy helps orgs be more intentional about the content learning leaders produce or acquire—typically to support the org’s business goals. It also helps keep content consistent and focused (including a consistent tone and voice—a form a branding). This focus stands in stark contrast to many orgs’ tendency to pump out more and more new learning content for the sake of content, ultimately overwhelming and misguiding employees.4

Hoping to make content more manageable and accessible for employees, some L&D orgs look to content management tech as the “silver bullet” answer—thinking their problems will be solved even if they implement the tech without a clear content strategy. This attempt often backfires—or at least dies a slow, quiet death—when nobody uses the tech.

So, instead of a tech-first approach, learning leaders must design a holistic plan for content—a content strategy—and set up any content management tech to support those larger goals.

A learning content strategy is not the same thing as a learning tech strategy: It’s not enough to buy new tech—orgs need to choose content to support their business and learning goals.

Marketing and enterprise content management offer lessons about content for L&D

Marketing offers relevant advice to the L&D world when thinking through questions related to content. If you swap “buyer” for “learner,” marketing-related resources can share key lessons for L&D on cultivating a consistent brand, conducting a needs analysis, and understanding one’s own audience when it comes to content.5 Both marketers and L&D practitioners need to understand:

  • Who their audience is
  • Why that audience needs our services
  • What content we should provide
  • When to trigger the buyer / learner to action
  • Where buying / learning can best happen

Marketing offers relevant advice to the L&D world when thinking through questions related to content.

These ideas are captured well in Figure 2.

The 5Ws for Content Marketing & L&D | Medium.com, 2018.

Where marketing diverges from L&D is on the point of content ownership. While marketing typically has a central content team and a consolidated source of content operations, many orgs can’t centralize all learning content creation.6 L&D must figure out questions about learning content ownership without leaning on marketers’ experiences.

Where marketing offers insights into understanding our audience and cultivating a brand, enterprise content management focuses on standardization, governance, and modularity to enable orgs to create (or facilitate the creation of), manage, and personalize content at scale. Potential lessons for L&D from this area of the literature include:

  • Personalization of content can only be scaled by standardizing content7
  • Standardizing content requires breaking it into small, reusable component parts8
  • Establishing clear processes for content creation and ownership—governance—is critical to successful content management9

Democratizing content creation

Content has traditionally been handled with a “top-down” methodology, with orgs deciding what employees need to learn, and then creating or providing the relevant content. However, approaches like user-generated content flip this traditional approach on its head. Now employees are encouraged to create learning content.

User-generated content taps into the idea that workers are already sharing information with their peers. One study found that this type of peer-sharing often occurs through answering questions via message or social network (39% of respondents), and through sharing articles, podcasts, and other mediums (37% of respondents).10 The thinking is:

Workers naturally share information with peers, so why not equip them to create content on behalf of the org?11

By actively engaging employees in the process of content creation, user-generated content also promotes learner engagement and satisfaction. The content also tends to be more relevant as it results from real employee needs and experiences.

However, user-generated content isn’t all sunshine and rainbows. While democratized content is proprietary, it’s also less centrally controllable than other proprietary content—bringing in questions about the quality and reliability of the content itself.12 Learning leaders need to ask questions about their role in user-generated content: How should L&D facilitate peer-sharing learning and / or conduct quality reviews of this type of content?

Should delivery dictate content?

Nobody knows—yet.

Different types of delivery options have become increasingly popular of late. Among these are microlearning, mobile learning, and VR: In fact, one recent study documented a 7% increase in mobile learning from 2019 to 2020.13 While the literature reflects this shift, many recent articles discuss how to best create content specific to delivery modalities.

The literature reflects a shift in the learning tech market toward specialized delivery methods—and offers lots of advice about how to create content specific to those methods.

One author, Dr. RK Prasad, offers insight into what a content strategy specific to microlearning could look like. He recommends that learning leaders should rely on gamification more than instructor-led training (ILT): This, he argues, would make learning content more digestible for employees and less expensive for orgs in the long term.14

Another article focused on how to create a content strategy for mobile learning, stressing the importance of the content “lifecycle” and the need to transform content to fit a mobile platform.15 Similarly, another source addressed content development for VR training, and detailed the 6 steps needed to convert content for VR and then test it via this medium.16

The question then becomes:

Should the delivery method change the nature of the content or should orgs make all content reusable, regardless of the original platform?

We couldn’t find any answers in the literature, so we plan to explore this question further in our research.

Current literature says little about proprietary vs nonproprietary content

Heading into this research, we hypothesized that the type of content (i.e., proprietary or nonproprietary) would change how orgs select, prioritize, deliver, and measure learning content.

One reason we believe the content type matters so much is that ownership of the content can change depending on the content type.

In many orgs, a central L&D team fully owns nonproprietary content related to topics like leadership development, while subject-matter experts (SMEs) outside of L&D own proprietary content related to org-specific intellectual property, systems, and processes. L&D may facilitate delivery of that content, but an SME is responsible for creating and maintaining it. User-generated content complicates matters further by distributing creation and ownership even more broadly thoughout the org.

This reality has serious consequences for content strategy, delivery, and measurement. So, for L&D, this means fully answering the question:

Who owns what learning content within the org?

  • Should business SMEs be responsible for generating subject-specific content (e.g., related to processes, systems, intellectual property, etc.)?
  • Should L&D own all content creation? Should L&D own any content creation?
  • How does L&D’s role shift as it relates to both types of content (proprietary and nonproprietary)?

Unfortunately, we found little to no information in the literature weighing in on these questions. We look forward to exploring them in more depth as part of this research.

Top Sources Worth Reading

5 articles in the literature provided great insight into how learning leaders should be thinking of content, including taking advice from some marketing professionals. We found these sources helpful and encourage you to check them out:

10 Steps to Building a Successful Content Strategy

James A. Martin | CMS Wire, January 2018

The article, while initially created for marketing, outlines 10 key steps to creating a content strategy, including choosing the best tech and tailoring the right content for the job.

“To be successful, though, you can’t push out content ‘spray and pray’ style, hoping at least one piece hits its target audience in just the right way.”

Highlights:

  • Choose the right tech that allows you to update content
  • Be intentional about your target audience and build learner personas
  • Conducting a content audit will increase engagement
  • Cluster content into digestible chunks for employees

 

A Content Strategy Isn’t Just for Marketers

Bianca Baumann | Training Industry, Sept/Oct 2017

This article points out the steps L&D can take when creating and implementing a content strategy, pulling from parallels with marketing.

“Ultimately, having a strategy in place helps create meaningful, engaging and sustainable content, and allows to identify the right content at the right time for the right audience.”

Highlights:

  • Leaders need to think through both the substance and structure of the content
  • Leaders should consider workflow (e.g., resources needed) and governance (e.g., policies, decision-makers)
  • Implementing a content strategy requires the following steps (resembling the ADDIE17 model):
    • First, learning leaders need to identify a training gap (analysis), strategize before designing (strategy), and create a communication program upfront (plan)
    • Next, leaders need to consider reusing content in different forms (create) and think through different learning modalities (deliver)
    • Finally, leaders need to align measures with their org’s needs and objectives (measure) and make sure to keep content updated (maintain)

Reusing Content Is Key in Today's Quickly Changing Marketing Landscape

Anjali Yakkundi | CMS Wire, November 2020

This piece discusses how content can be reused by considering content assets to be more like Lego pieces than fixed creations, in order to adapt content to different delivery platforms. This Lego approach frees content creators from spending time updating, managing, and tailoring content—freeing them to focus on other activities like content strategy.

“By breaking down content to smaller, reusable chunks, marketing teams can more easily reuse, recombine and repurpose content to be used on multiple channels.”

Highlights:

  • To democratize the learning, content owners should reuse the content and involve multiple team members in the process
  • Content owners need to act with agility: They can use a “test-and-iterate" content strategy and be ready to shift priorities when required
  • When repurposing content, it’s important to make any changes needed for the context in which the learning’s being presented to the target audience

Bringing Content Strategy into the Blend

Phylise Banner | TD Magazine, August 2017

This magazine article discusses how blended learning can be best served with a content strategy that addresses 3 domains: objective, content, and human.

“When content strategy is done well, no one notices that it’s there. They are too engaged with the experience—which is exactly what we want from our learners.”

Highlights:

  • Content strategists need to:
    • Create learner personas to describe and understand the attributes of employees
    • Build an org-readiness matrix
    • Conduct a content audit to analyze which types of content are working
    • Understand workflow and governance by having a content lifecycle
    • Identify a team to facilitate the learning culture and carry out the content strategy

User-Generated Content: Socialization of eLearning content

Satyabrata Das | eLearning Industry, December 2020.

This article lays out key advantages and disadvantages of user-generated content and the reasons why this type of content’s becoming increasingly popular.

Highlights:

  • User-generated content’s gaining traction in formal learning (while it’s been popular in informal learning)
  • Advantages of user-generated content include high engagement, greater relevance, and greater acceptability
  • Disadvantages of user-generated content include dependency on a few users to generate content, questionable reliability and accuracy of the content, and incomplete coverage of relevant areas

Additional Reading Recommendations


Q&A Call: Choosing Learning Tech

Posted on Monday, March 22nd, 2021 at 10:46 AM    

Q&A Call Video

TRANSCRIPT

Introduction

 

Stacia Garr:

Great. So thank you everyone for coming today. We are going to get started with this call on choosing learning tech. So for those of you, I don't know, I'm Stacia Garr I'm co-founder and principal analyst with RedThread, and we are human capital research advisory analyst firm. I'm joined today by Heather Gilmartin Adams. Wanna say, hi, Heather.

Heather Gilmartin Adams:

Good morning.

Stacia Garr:

And we are, Heather is actually going to do the majority of the talking today. Just to quick housekeeping before we dive in these calls are pretty informal. The whole point is to have the informal discussion around a given topic and really to answer questions either that you all have, or that folks have submitted to us in advance. This is based on some of our most recent research on choosing learning tech and Heather's actually in the middle of writing a report on it.

Stacia Garr:

So your active participation in questions is certainly appreciated. As I mentioned a moment ago, we do record these calls and so they will be posted to our website for RedThread research members to be able to access after the call. So just know that whenever you're you're sharing any information again, to the informal component of this, we do like to just give it an opportunity to share into networks. So please be, feel free to say your name and where you're from. And if you want to be connected with folks after the call, you know, we can certainly take care of that. Okay. So with that Heather, can you move to the next slide.

Stacia Garr:

Thank you. So for those of you who may only know a little bit about us, we're RedThread Research, we are human capital research membership focused on five areas, learning and career performance in play experience, people, analytics and diversity, inclusion, equity, and belonging. And then, and that's looking at both the practices and the technologies within those spaces. We, as I mentioned, just recently moved to a research membership that folks can purchase directly on our site or for teams or enterprise, you can purchase through contract. But we also do advisory as well as events. So that's enough about us and who we are and what we do. Let's move on to the next slide, Heather.

How can orgs best choose learning tech to help meet business goals?

 

Heather Gilmartin Adams:

So as Stacia mentioned, we've been looking at learning tech for a long, long time for years. We haven't though specifically focused on this question of choosing learning tech and we realized in 2020, we did an update of our learning vendor landscape survey. And we realized there is so much more out there even in 2020 than there was in 2018. And this kind of prompts a question, how do buyers make sense of all of it. And how do you think about choosing learning tech strategically and holistically in ways that work for your organization? And so that's kind of why we decided to kick off this research. We've done a number of interviews we've done a lit review thus far, but we're kind of in the middle of it.

Heather Gilmartin Adams:

And so I'm excited to have this conversation with you all today because it'll inform our thinking on the topic as well. So just to give you a little bit of background, the research question that we've come up with is how can we best use learning tech to help meet business goals and sort of some sub-questions that we're looking into are around, what questions are most important to consider, who should be involved, and how can org think about what they already have versus what they might want to acquire somehow? So that's sort of broadly what we're, what we're looking at. What was really interesting was that as we started to have conversations and dive into the literature on it, this question became obvious that this question, the answer is changing. So when I had a couple of initial calls with some practitioners and thought leaders in this space, I asked them, what does choosing learning tech mean? And they basically just laughed, because it means different things to different people. And so if you guys are willing, as Stacia mentioned, we like to keep these informal and conversational. I'd love to hear from you either in the chat or feel free to unmute and talk for you, what does choosing learning tech mean?

What does choosing learning tech mean?

 

Heather Gilmartin Adams:

I have ideas about this that I'll share but I wanted to give you guys an opportunity to weigh in.

Heather Gilmartin Adams:

Participant from call text said tech that supports and facilitates learning and organization. Oh, I love the breath of that definition.

Stacia Garr:

And just kind of following on from, participant from call text's point. And that may seem terribly obvious, but, you know, I think that the point, and I don't want to steal your thunder Heather, but I think the point is, is that in the past, what it tended to mean was choosing LMS. Because that was the definition of what learning tech was.

Heather Gilmartin Adams:

Yeah, exactly. And that's kind of reflected in the literature, right? There's a lot of this is going on. I'll show you guys the next slide. So this was a word cloud of the lit review that we did. And it might be a little bit hard to see the only two specific tech names that show up in the lit review. So that showed up in the literature enough to warrant making it onto the word cloud where LXP and LMS. And I think that's just a testament to the fact that for a long, long time choosing learning tech meant choosing the LMS or and you know, maybe if you were really forward-thinking choosing an LXP. Participant from call text said in our case tech that enables colleagues to enhance the learning activity enhances the experience of learning attracts learning engagement. Yeah, exactly. So there are all these other things, and participant from call text says seconds those points and would add a vehicle to retain and attract top talent. That's really interesting.

Stacia Garr:

It seems like that would be obvious, right. That's part of what we're trying to do here, but for so many years, that just hasn't been a focus that hasn't even been an outcome. So for those of you who, I don't know I tend to do most of our research on people, analytics and measurement and the like, and the disconnect between the learning world and pretty much the rest of the talent world is just remarkable. Whereas, you know, in, in so many other things we're doing with talent, you're absolutely right, I mean, you know, it's, how do we attract and retain top talent? How do we make sure that we're, you know, engaging these people, et cetera, et cetera, and with learning, it is, well, how many hours did they complete a learning and did they get to the end of the course? And it just, it's almost like they exist in two different worlds, which has been an interesting learning for me.

Heather Gilmartin Adams:

Yeah. I think the learning world has a bit of catching up to do, data-wise.

Stacia Garr:

Yeah. But it, you know, it's starting, so that's exactly. Yeah.

Heather Gilmartin Adams:

It really is. It really is. Oh, participant from call text said tech that enables learning and learning needs could be anything doesn't have to be specific learning tech. Yes. I love that point. So one of the things that we've seen a lot in the last year is leveraging platforms that somebody else that somebody not a learning and development pays for in the organization. Right. So learning is latching onto integrations with Slack and teams and even email sometimes and project management software. So yeah. Leveraging any tech that people are using wherever they are, we're meeting them where they are with learning and not creating specific, you know, learning tech to do that. Yeah. Love that point.

Initial finding

 

Heather Gilmartin Adams:

So you guys are kind of you've already touched on this. But yeah, so one of the initial findings from this research thus far is that L and D needs to be thinking about much more than LMS and LXP's.

And this is actually a model that Dani Johnson, one of our co-founders came up with a while ago. Now it's been maybe a year or two. But it's only now that we're seeing sort of broader thinking in line with this model, ie: that, that L and D needs to take responsibility for not just providing, learning in an LMS, but for helping employees plan their careers and discover content and learning opportunities and consume development opportunities, wherever they are, and experiment with new skills and knowledge and connect with others in the organization and even outside the organization to further their developments and L and D needs to take responsibility for helping employees perform better on the job. Those are sort of the six behaviors that L and D employee behaviors that L and D needs to be thinking about how to enable.

Heather Gilmartin Adams:

And, then there are two other behaviors that are kind of admin around managing and creating, learning opportunities and analyzing those learning opportunities so that we can improve. And so the circles on the model are behaviors that L and D either needs to do themselves or support employees, the boxes underneath are all different types of functionalities offered by different technologies. And as you can see, LMS and LXP are just one box each, and there are, I think, 30 boxes on this slide. And and so basically what that means is that there's just so much more out there. And you know, learning has been historically focused on a very small percentage of the functionalities and the technology that we really should be thinking about. And it was interesting when I was talking to Christopher Lind, who is a great, if you guys aren't following him on LinkedIn, you should he's an amazing thought leader in the learning tech space. And what he said is I get it. Like I get it, that people are focused on, had been focused on LMSs and LXP's historically, because there are a lot of them out there. And there is a lot to consider even within that tiny slice of the learning tech world. But we've got to broaden our horizons, basically what he said. Stacia do you have to add on that? Or are there any questions on this model or on this, this general idea, this initial finding.

Stacia Garr:

I'll maybe add, while, folks are thinking about if they have any questions. I think, you know, kind of building on the point I made just a moment ago, a few things that I think are exciting here is, is under analyzed. You know, we are seeing a rise in non-traditional learning players come into the analytics space here. So, you know, we saw a partnership announced between PeopleFluent and Visier a few weeks ago. And I think we're going to see more of that type of work coming through. So at the moment in our people analytics tech study, the only two analytics players we see are Watershed and M level.

Stacia Garr:

And so you know, it's, it's, it's fun to see some other folks starting to take this more seriously. The other thing that I think is interesting is, you know, we've got perform and performance tracking here, but you and I have had some really interesting conversations recently that have kind of bridge that performance tracking with coaching, and understanding you know, kind of how we can have those two concepts really feed each other, and then how that can potentially connect to performance management. So, you know, one of our hypothesis and things we've been talking about for really, since Dani and I started the firm, was that the areas of learning performance management engagement are all coming together ever more closely. And I think we're seeing that show up certainly in terms of the specific learning tech, but then also in how it's connecting to other areas too.

Heather Gilmartin Adams:

Yeah.

Stacia Garr:

I'm just going to broaden the partnerships that need to happen from L and D to the rest of the organization. And quite frankly, what the broader tech stack needs to look like.

Heather Gilmartin Adams:

Yeah. Yeah.

Heather Gilmartin Adams:

Cause that's one thing that we don't touch on a whole lot yet is the linkages to the other tech, right. So learning tech doesn't exist and absolutely should not exist in a bubble. And so if we're thinking about learning tech, you're thinking not only about how do those pieces interact with each other, but how do they interact with the rest of the tech in the word? Yeah.

How can L&D identify the most important learning tech needs/gaps?

 

Heather Gilmartin Adams:

Participant from call text (Speaker 1) said, love this model. I've been using it for a year or so to get a handle on learning tech inventory and determining gaps. I'm curious, one of the questions I'm skipping ahead, but one of the questions that we had was how do you think strategically about identifying what tech you need in an organization? And so you said determined gaps. So if you're willing to unmute and share with us either now, or when we get to that question, we'd love to hear from you.

Speaker 1:

So I'm new to role, has only been like a year and change, but I stumbled across the the article that you guys have published, I guess, back in September or whatever last year. I started, I latched on to that model and have really, we've been going through understanding what our inventory is and the tech and the learning space, but also across the company to show those gaps and then trying to work with our L and D side of things. So I sit in an HR operations group separate from our learning groups. So we have a new CLO. So I've been working understand where the new vision and strategy is going to go from there, so that this way we can kind of help them understand how we can take the technology side of things and learning, help that map and help enable their strategy moving forward. And then that's going to help us start to identify where those gaps might be and help prioritize those. So we can start to look for additional technologies that might be able to help them in there, in that space. I'm not sure if that helped answer your question.

Heather Gilmartin Adams:

Yeah, that's great. I love it.

Stacia Garr:

And I think that's interesting. You just, you mentioned that you, you report into basically HR operations, not into learning. And so just a question for you kind of back to what Heather and I were riffing on a few moments ago, which is, are you also looking at how all this tech connects into your broader HR tech ecosystem?

Speaker 1:

Yeah. I have a link right into our IT folks. So I'm making sure that's kind of what I was getting at before in terms of that's one of the things I love out of the article is don't compete with IT, like work with them because I have a very small group and trying to maintain and oversee all these learning systems versus having IT, do it for their systems. Yeah, I'm kinda tied to the hip with my IT rep to make sure that, you know, we're leveraging whatever they're doing, you know, we're looking at, I think the new Microsoft Veeva was just announced, but that's something to be from a tech IT perspective, not necessarily L and D. So I'm trying to see if we can kind of jump on their coattails with that and leverage the systems that they're bringing in as opposed to bringing in like learning specific systems.

Speaker 1:

Cause you know, it's better not to compete with them because we've seen that with we have Microsoft Yammer and we were bringing in like a social learning platform and Yammer came out first and it took off better than our social learning platform. So it's, you know, again, like we're competing. So that's why no one's going to this one. So, you know, trying to minimize that competition moving forward as well, because IT is going to be ahead of us for the most part, a good number of technology. So that's kind of where I'm focused.

Stacia Garr:

And I think the point to that is, is that the technology that IT is buying is most likely going to be work tech that they're already going to be in. And so this idea of trying to siphon them off from something else to do something just for L and D and it'd be outside of their day to day.

Speaker 1:

Exactly. I want to try and get us more towards like, how do you do stuff in the flow of work, as opposed to let me stop my work, go find something and some other system, and then come back and work. Right.

Stacia Garr :

Exactly.

Heather Gilmartin Adams:

Yeah. That's fantastic. We'd love to hear how it goes. Kind of, it sounds like you're in the, at the beginning slash middle.

Speaker 1:

The early stages. Yeah. But yeah, no, definitely let you guys know.

Heather Gilmartin Adams:

Yeah.

Additional initial findings

 

Heather Gilmartin Adams:

And that actually kind of links to some of the other initial findings that we have, which is linking texts as Speaker 1 is doing, which is fantastic. When you take decisions to business strategy is recognized as a good idea in the literature, at least we're not seeing that they're seeing there's this gap in the literature because there are a lot of articles on you need to link your learning tech to strategy. And there are a lot of articles on here's how to choose a good LMS or here's how to choose great VR software or here's how to choose a great micro learning platform. But there's, there's this like gap in terms of how to operationalize a strategy holistically before you get to the tactics of, you know, specific platforms that you're going to choose. So that's actually kind of why we're writing this, this particular paper in the first place is, is to kind of fill that gap. And then, and then to Speaker 1's point as well, you need to know what you already have before you start thinking about what else to acquire. Otherwise you're just chasing after the latest, shiny thing and not giving thought to sort of how it fits in or how it's going to meet an actual need.

Do you ever experiment with tech prior to choosing or just leverage RFP responses to make a decision?

 

Heather Gilmartin Adams:

The next one was, do you ever experiment with tech prior to choosing or just leverage RFP responses to make a decision? So I think my opinion on this is as much testing as you can possibly do before you buy the better. So if you can only get demos, then make sure you have a really good couple of use cases that you want the vendor to walk you through in the demo. If you can get a test account and play around with it yourself, even better just leveraging. So one of the, one of the big issues that both vendors and some of the tech thought learning tech thought leaders see with RFPs is that they've become a little bit of a check, the box exercise and, and some vendors will, if the RFP is not super, super detailed and clear, then sometimes vendors will say, yes, we can do this.

Heather Gilmartin Adams:

And they can do maybe a version of this, but it's not the version that you need that will meet your needs. And that comes up particularly with integrations, you know? So, so a lot of times an RFP, the line item will be do you do integrations? And the vendor will say yes, and then you'll come to implementation time. And the integrations that you actually need, it turns out, Oh, that vendor, that's not what we meant by integrations. And so the more that you can play around with things before you purchase the better, Stacia.

Stacia Garr:

Yeah. I would add that. Well, a few things, one is, so often the integrations are just, or via API or a flat file CSV upload, and that's in many instances that works fine, but for if it's a specific need it very well may not. But, I think the bigger point here is that it goes back to why, why would we talk about the need for strategy to drive tech decisions versus the other way around is, you know, if you go in and you say, you know, this tech can do all these things, like let's figure out how to use them all. So we get the most value out of our investment. You often end up with a whole bunch of features and functionalities that you just may not need. And even like worse for my position as an analyst, it drives the wrong behaviors in the vendors because the vendors are just looking to check the boxes on the RFP so that they can get in the conversation.

Stacia Garr:

But if, instead you go to a vendor and say, we're trying to achieve this thing how might you help us achieve it? Or here's what we think we need, help us see what we may not, you know, it's much more of that dialogue and it's, you know, RFPs are fine for an initial rough cut. But it's, I think you need to be a lot more specific about it and you're not going to get that only from an RFP. And quite frankly, you're not going to get it only just from experimenting as well. You know, it's that beginning, that relationship with the vendor, having that conversation about what it is that you need. And then also understanding from the customers who may have had similar needs, have they been able to meet them? So that's the other thing that wasn't on this question, but I think is important for folks to do is, you know, go and talk to other customers who are, will surface references and who have ideally been in a situation similar to yours and understand did this vendor actually meet your needs or do they work with you to meet those needs? And what did that process look like?

Heather Gilmartin Adams:

Yeah.

How to get peer feedback about vendor relationships and capabilities?

 

Speaker 2:

Thank you. I want to ask you, I am also not so long in this line of work. So I was interested to ask you, so how would you recommend that I go about and ask other people about their experiences, because sometimes it's, for me, it seems a bit intrusive to like to ping people on LinkedIn and say, I can see that, I saw you somewhere using the same technology. Do you have any experiences? I'm sorry if this is like a very obvious question, but I'm also interested to hear, so what, would be your advice on this?

Stacia Garr:

Yeah, so I would start with the vendor. Usually the vendor will have a series of preference customers who have already said that they're happy to talk to potential new customers, and be specific with the vendor about what you want to talk about so that they can find the right person. Yeah. I am looking for someone else who has implemented at this scale with, you know, these types of capabilities and on this timeline as an example. So that's one way. A second way can be if you don't want to kind of go directly through the vendor is a lot of vendors have their own conferences and events. Even now, you know, there's just tons of virtual events and you can either find folks I mean, obviously whenever we go back to in-person, you can just kind of, a lot of times there'll be sessions that are dedicated to a particular topic, and it's easy to kind of bump into people, but even now you can look at who's speaking at those events, because usually if they're speaking there, have you already know that they've waved the flag and said, I'm willing to talk about this vendor.

Stacia Garr:

Sometimes also they have these pretty, pretty sophisticated like networking spaces within the technology right now. And you can go in and just pose a question like to the room, which is actually an advantage of it being virtual versus in person. And get people's perspective. A third way can also be, you know, you mentioned not wanting to cold bump into people in LinkedIn, but a lot of these organizations, a lot of these vendors will have their own LinkedIn groups and where it's kind of acceptable to go in and say, Hey, I'm thinking about implementing, you know, Degree. What's been your experience? And then the fourth way is if you do find someone it might be beneficial just to find keynote, good old fashioned networking, find that mutual connection who might be able to make the introduction for you. I mentioned that one last, because I feel like that's the most obvious of all of them. But I think all of those are ways that you can, you can get to folks who have used the tech.

Speaker 2:

Thank you very much. Yes, some very neat ideas. Thank you. Thank you very much.

Heather Gilmartin Adams:

Let's see participant from call text said, that's a really important point, Stacia. I work in a sales function for a vendor, and certainly from my point of view, if a potential new client approached me with an issue they have, or goal they're looking to achieve, rather than a generic sales inquiry, the demo or platform we provide is going to be way more effective for all parties. And it's really interesting. So we were working with a large tech company on just helping them, helping them figure out their like rating matrix their rubric for an LXP that they were looking at. And we help them. They did a great job thinking through some of the use cases that that they wanted in their demos. And they got really specific, like, okay, we have a person just become a new manager and they need to do this, this and this.

Heather Gilmartin Adams:

And how would you, how would you help them do that? And we have an admin who needs to do this, this and this in the backend of the system and how would you help them do this? And so they came up with a couple of demos and they sent them to the vendor ahead of time. And it was really enlightening for them to see the differences in the approaches with the vendors. You know, one of the vendors came back and the vendor seemed to understand exactly the use case, walked them through exactly how the person would do that. Like really gave them a good sense of what it would be like for that person to have that experience. And then the other vendor kind of came back with here's why we're great, you know, and it was an incredibly enlightening experience for the buyer.

What is more frequent: do teams adapt to the technology they have in shaping their agenda, or do they buy technology? 

 

Heather Gilmartin Adams:

Right. All right. So the next question is what's more frequent. Do teams more adapt to the technology they have in shaping their agenda or do they buy technology? So this is interesting. It goes back to the question about, should using strategy to drive tech decisions. Right? So I think just to hammer on the point that any technology decision or any technology purchase that's made, not in service of a specific business goal is probably not going to serve you well in the long run. But I think another interesting angle to this question is what we were talking about earlier. Do we leverage existing systems to meet our business goals or do we buy technology to meet those goals? And I think with that Yammer example was great, right? That was a case where we need, it was really a better idea to leverage what you already had. And so I think, I think there's for me, there's a two part answer to this question, is the strategy driving your tech decisions? And are you very aware that you actually need to buy something? Or can you leverage once, you know, your business decision or be your business goal, then you can say, okay, do we have the tech to, to meet that goal? Or do we actually need to buy?

Stacia Garr:

Yeah. And I think an area where I see an opportunity to potentially adapt existing technology is when you're moving into a new space and you're just trying to create an MVP and to understand what might work. So, you know, you might be looking to experiment within just one, one part of an organization and say, okay, we're going to just, you know, it's going to potentially be ugly, but we're going to use this, this existing tech that we have and make some adjustments and just see could it potentially provide the value that we're looking for and, and do that in a low investment type of way. And then moving on, you know, after you get a little bit of a sense of how might play out, you know, in reality, in terms of if it fits the needs, if users would use this type of approach, etc. Then you can kind of step back and say, okay, well, we got the ideas, right, but like, is this actually the right tech or not?

Stacia Garr:

So I think that can be a good opportunity to leverage existing tech. The other area that we're actually really strongly pushing thinking about adapting current technology is with diversity equity and inclusion, and belonging. So we have seen a dramatic increase in the percentage of DEIB or I'm sorry, vendors offering DEIB solutions. And a lot of people don't know that their vendors are doing this. And so we saw, I think it's an 87% increase over two years ago of percentage of vendors who are offering DEIB as a feature. And so I think push going ahead and looking at what your vendor has to offer, whether you're looking at DEIB or you're looking at learning and seeing, you know, does the latest instance of this actually have what I need or have they, you know, if it's a true SAS software, you're going to get the updates no matter what. So have they made an update I don't know about, and it's already there. And I could leverage it to do the thing that I'm trying to do. So I think those are good examples of when to look to your current tech to see if it fits the need before you go and look outside the organization.

Heather Gilmartin Adams:

Yeah. That's a great point actually. And I've seen it, not just in DEIB, but in sort of learning more broadly, adding for example, talent mobility type features have become really popular skills

Stacia Garr:

Or lightweight performance, I think we've seen.

How should L&D be thinking about tech integrations?

 

Heather Gilmartin Adams:

Yeah. So there's a lot of stuff that maybe your vendor has rolled out and it wasn't the original reason you bought the platform. And so you're not really thinking about it that way. Yeah, I love that. All right. The next question is how should L and D be thinking about tech integration? So we kind of already touched on this or talked about it a lot. So for me, there are two really important elements to think about. When you're thinking about integrations, one is the user experience and one is how you're using the data that your different systems are producing. So one of the things that we're seeing is a movement away in sort of learning tech purchasing broadly. We're moving away from trying to find one platform that does it all and toward a recognition that there are lots and lots of vendors out there.

Heather Gilmartin Adams:

And some of them are really great at this. And some of them are really great at this. And some of them were really great at this. And so how do we create an ecosystem that pieces all of those best in class technologies together. And that's where integrations become really, really important. Right. And so when you're thinking about that, the things that you want to ask vendors about are, can you fit into my existing ecosystem, such that my users can't really tell, and probably don't even know that they're going on to a different system from whatever central access point I've decided they should go to for learning. And similarly, can the data that your platform is producing or collecting, can you put this data in whatever I've decided is my central repository where I want to store and access and compare all of the data that I have.

Most frequent integrations

 

Heather Gilmartin Adams:

So, for me, those are the two big, big elements to think about when you're thinking about tech integrations. I'd be very curious though what you all think and what questions you kind of follow up questions you have. Can you give any examples of most frequent integrations? So a lot of times, especially in enterprises there will be, you know, a central HRS system and a central LMS system. And so those probably are already integrated. And what I'm thinking about is if you're going to add on another piece of tech, let's say you decide that you need a micro learning platform for whatever reason. And so what your micro learning platform would be need to do is integrate with that LMS and potentially even with the HRS. Does that answer your question?

Speaker 2:

Sorry. It might be quicker like this. So yeah, basically, one of my let's say parts of my job was to work on integration between HRS and LMS that we are having. And I'm also interested to see maybe to ask you as well, too because there is now we see a big emphasis on the webinar delivering platforms when it comes to Adobe Connect I don't know, Zoom as well. But then also some teams and I was interested to see, so maybe to see what other intuitions there could be, because yeah, this is I'm fairly new. So this is something that my organization needs, but it could be something else as well. So that's what I wanted to, yeah, mostly HRS. Yes. It's a central system. But then it comes like Teams would have to have a special integration with, for example, our LMS to, for example, enable good let's say webinar, attendance I think that Zoom has some good APIs when it comes to that. I'm not sure for Teams. But yeah, so that's the background of my question.

Heather Gilmartin Adams:

Yeah. So I would, I would kind of go back to the have your strategy, drive your choices theme that we've been going with. So I hesitate to say like, oh, all organizations are doing these integrations, or, oh, you need to think about this integration because maybe that's not right for your organization. I would it seems to me like you want to figure out what technologies you need and then figure out how to integrate them all all together. And I'd be thinking about it.

Stacia Garr:

But I do think, I mean, so as Heather mentioned, you're going to integrate your HRS, you know, whatever your human capital management system is most likely to, if nothing else, so that you can have the system of record data that you need about folks. And then I think the other area is, you know, when you, when your thinking about most, likely any of your performance activities, you're going to want an integration back to your learning resources to, you know, for instance, people are, have identified that they need to be better at presentations just to pick something you know, there people can then get directed to the resources that help them understand how do I deliver a better presentation. We're also seeing kind of a rise in the connection between learning need, like this learning needs identified through things like performance and experiences.

Stacia Garr:

And so those experiences could be coaching. They could be mentorship, they could be internal talent marketplaces that kind of thing, but we're, we're starting to see folks think about how do we bring those connections to bed together. So that folks don't just have a learning need that's been identified, but actually have a way to get there. That's not just content. So I think those are some other areas to potentially think about your integrations. But I would go back to Heather's point, you know, the ultimate question is what is the learning experience or the learning culture that you're trying to create, and then what would be the technology that can enable that?

Speaker 2:

Yeah. Thank you. I mean it maybe goes back of course, to the previous question, because yeah, only now that was the question that I think I submitted. So it really is about, for example are you aware at any point what is really that you're trying to accomplish on a, let's say through to three years period, or I don't know how long, I don't know. So for many of the contracts with the vendors, how long do they last really? But I would say that it's more long term when, especially when it comes to a bigger organization. So that's why I asked the question and when it comes to integration, it's what you said earlier as well. So people I think when there's promise a lot of things in general, but when it comes to specifics and really accomplishing some things, then I don't see that a lot of stuff is possible. It requires some custom development, which is like, need funds for that. And it's not something that you budgeted for. So I think that's why I asked for most frequent funds. So I can maybe see what could be possible expenditure. I mean, it's even better if you can announce something that you'll need something. So that's why I asked, thank you. Maybe linking too many stuff now.

Stacia Garr:

I think that's good. But one thing just to add on there is make sure that you ask your vendor, the vendors that you're considering at the beginning, what type of support they give for implementation and for basically making these integrations and other potentially more customized aspects of the implementation work. So in our people analytics, tech study, for example, we found 40% of vendors offer that support as part of their subscription and do not have a year one additional cost for that, 60% do not. But, you know, you may find that that offering of support is the thing that tips you one way or the other, and also can be indicative of the vendors perspective on one, you know, the extent to which they're kind of software first versus software to generate leads for consulting, two the extent to which they think you'll need support long-term so a lot of them say, look, we get that.

Stacia Garr:

You're gonna need some help getting set up, but we don't expect you to need long-term support because the technology is mostly self-sustaining once you get implemented. And so we're not gonna, we're not gonna charge for the upfront because we want you to be successful and we don't think you're going to need it longer term. So we're not going to charge for that either that can give you a sense of one budget, but then also what you need, what you should expect from them longer term in their overall philosophy. So I would check into that at the beginning, start of the process.

Speaker 2:

Thank you. Thank you very much.

Heather Gilmartin Adams (40:58):

One sort of tangential thought to that. It sounded also in your question, like because you said you're new to the space you were feeling like I need to know, just kind of what's out there and what my options are so that I can maybe think about how to build them in, in the future, or maybe budget for them. And actually that's a really good point that's come up in a couple of our interviews is learning leaders need to have at least a decent enough sense of what's on offer in market. So that when they're in a meeting and they hear a business challenge, they know kind of whether there's a technology that can assist with that or not. And so I just kind of building up that awareness is in fact a great thing that you're trying to do. And if you're interested, we have a tool on our website that you can play around with that kind of shows you what the vendors in the space are doing. All right. So that was actually the last question.

Stacia Garr:

Before we go to this, are there other questions that folks have that we didn't cover live today? And I just put a link to the tool in the in the chat

Stacia Garr:

Okay. So it sounds like there's nobody who's going to speak now, so we'll forever hold our peace Heather.

Heather Gilmartin Adams:

Right. So, yeah. Do you want to speak to this Stacia?

Conclusion

 

Stacia Garr:

Two weeks from today. Our next Q and A call is going to be on employee engagement and experience tech. So I know at least one person here mentioned Microsoft Veeva. I wrote a pretty long blog on Microsoft Veeva when that announcement came out. So that will be one of many things that we talk about. In general, we're going to be talking about what this market looks like based on our people, analytics, technology research, and aware where people sit, what they do. What we see as some of the differences in the different vendors and how one might want to approach the space. So it'll be like this, it'll be free flowing discussion. But Priyanka Mehrotra who's on our team and is actually leading this research. She and I will be on together and we will share our thoughts and take your questions. It's going to be fun. So cool. Well, I think with that, want to just say thank you to everyone for your participation and whether it be a chat or voice or, or however you chose to participate. And for anybody who's listening after to the recording, please go ahead and feel free to reach out to us with any questions or anybody who's here today. If you have more questions, let us know. And we look forward to seeing you on another Q and A call soon.

Heather Gilmartin Adams:

Yeah. Thank you everyone. It's a great conversation today.

Stacia Garr:

Yeah. Thank you. Take care.


DEIB & Analytics: This Time is (Likely) Different

Posted on Monday, March 15th, 2021 at 8:30 PM    

Why We Care

Last year, in the aftermath of the social justice protests, many organizations made significant pledges to alter hiring and promotion practices to create greater equity and opportunity for people from diverse backgrounds. For example:

  • Adidas said it would fill at least 30% of all open positions at Adidas and Reebok with Black or Latinx candidates
  • Estee Lauder promised to reach U.S. population parity for Black employees for all levels in the next 5 years
  • Facebook pledged to double the number of Black and Latinx employees by 2023

In the last few months, we’ve also seen an increasing number of diversity and inclusion reports published from firms, such as Deloitte, PWC and others, promising increased transparency and focus on this topic. There have also been announcements by companies such as Nike, Chipotle, McDonald’s, Google, and others, tying executive compensation to hitting diversity goals, underscoring the importance these firms are putting on DEIB.

This Might All Sound Familiar

As you might recall, in the mid-2010s we heard similar pledges (and saw the publishing of diversity reports) from Google, Facebook, and Apple, after women such as Tracy Chao and investor Ellen Pao brought attention to Silicon Valley’s diversity problems. And, to their credit, most of those companies (Apple being the exception) are continuing to publish those reports.

Those reports have revealed—surprise, surprise (or not)—that making progress on diversity representation is a slow and uneven business. For example, Facebook, which has one of the better public diversity reports, has improved its percentage of women from 31% to 37%—and from 15% to 24% for technical roles—from 2014 through 2020. However, they have only improved the percentage of Black employees from 2% to 4%—and from 1% to 1.7% in technical roles—across that same period.

This slow pace has not gone unnoticed, as commentators from all stripes (but most notably the mainstream press) have regularly flogged those companies for not making as much progress as we all want. As one commentator mentioned,

“These companies are data-driven, but if people are not hitting their diversity metrics, where’s the downside? You have metrics, but no consequences.” Bari Williams, head of legal, at start-up Human Interest

It would be easy for leaders to conclude that they’re “damned if they do” track / publish data and “damned if they don’t” (because they don’t have data to understand what’s happening). When you combine this situation with the potential legal consequences of diversity (and inclusion) data, you end up with a whole lot of inaction—which is what we’ve generally seen to date.

This Time Is (Likely) Different

But this inaction is untenable for at least a few reasons:

  1. Consumers want companies to take actionand will reward them if they do. According to the Edelman Trust Barometer, 80% of Americans want brands to help solve society’s problems and 64% want companies to set an example of diversity within their organizations. Further, corporations that take a stand on racism are shown as being 4.5 times more likely to earn / keep consumers’ trust and those doing well with addressing racial issues are 3 times more trusted. Brands’ responses to racism also influence purchase intent. 

To capture the potential goodwill of consumers, though, companies must show that they’ve acted or made progress on DEIB1 —and the way to do that is through DEIB metrics and analytics.

  1. Diverse employees left the workforce during the pandemicand companies have to figure out how to get them back. Diverse people have borne the brunt of the pandemic:
    1. Women left the workplace at the steepest, most sustained level since World War II
    2. Black and Latinx workers suffered from higher levels of job losses, as reflected by their unemployment rates for February 2021 which were at 9.9% and 8.5%, respectively—as compared with 5.6% for White employees
    3. More than a million people with disabilities lost their jobs during the pandemic

As we all look to a post-pandemic world, there’s a good chance we will see at least two things: significant movement of talent (who may have stayed due to economic uncertainties, but now see a chance to jump) and a strong economy. To effectively take advantage of both of these changes, organizations will need to foster DEIB to both attract newly available talent (and retain existing talent) and to leverage the benefits DEIB brings, such as innovation, as they look to grow.

Beyond the potential business benefits, though, businesses have an opportunity to make a broader societal impact by redesigning work so that all employees can participate more equitably and inclusively.

Bringing back people who left the workforce will take intentionality, clear policies and practices, and data—lots of data—to understand what’s happening, what’s working, and what could be done differently.

  1. New SEC human capital reporting guidelines are likely to result in more DEIB data disclosures. The Securities and Exchange Commission (SEC) revised its 10-K reporting requirements, effective 9 November 2020, requiring companies not just to report the number of employees, but also to provide:

A description of the registrant’s human capital resources, including the number of persons employed by the registrant, and any human capital measures or objectives that the registrant focuses on in managing the business (such as, depending on the nature of the registrant’s business and workforce measures or objectives that address the development, attraction, and retention of personnel).”

While there’ve been a range of approaches to these new reporting requirements, it’s hard to imagine that DEIB metrics don’t count as “… measures or objectives that the registrant focuses on in managing the business,” especially when you consider the new ties for many companies between diversity metrics and executive compensation.

Further, given all the research that shows the connection between DEIB and business results, you would think that DEIB metrics would be an essential piece of information investors would want to know.

Or, viewed through a more cynical lens, investors might feel they are entitled to information that could result in potential future legal action, such as systemic (intentional or not) discrimination against a certain group, that would be revealed by DEIB representation numbers. If the company has at least disclosed this on its 10-K, then the company may be less likely to be open to legal recourse from investors. (At the same time, maybe it makes clear that potential discrimination exists? I dunno, there’s a reason I didn’t go to law school.)

In short, DEIB data is going to be more important than ever to investors, and companies must figure out how to provide it efficiently, consistently, and in an appropriate manner.

Recalibrating the System

Given all this, we think it’s safe to conclude that DEIB metrics and analytics are more important than ever. But, to our earlier point, it’s not as though DEIB metrics weren’t important before—it’s just that many orgs haven’t been terribly good at developing or using them. Why?

In short, we think it’s because organizational realities have resulted in a system that’s made identifying, tracking, and using DEIB metrics hard. Specifically:

  1. A gulf exists between most DEIB leaders and analytics leaders
  2. It’s unclear what data to use and how they should be used
  3. New DEIB tech vendors offer solutions, but it’s unclear how these solutions fit in

A Gulf to Bridge

Unfortunately, in most orgs, the gulf couldn’t be larger between the groups leading the DEIB efforts and analytics. It’s true that DEIB and people analytics often report to different leaders—DEIB to the CEO or an operations leader at least half the time, and people analytics to the CHRO, talent acquisition or talent management leader, or a centralized analytics team.

But there’s more to it than that—and those differences include the following:

  • Background:
    • The leaders of DEIB teams are often folks who hail from a social justice or diversity-focused background
    • Whereas people analytics leaders often have a data, computer science, machine learning, or math background
  • Focus:
    • Many (certainly not all!!) DEIB leaders focus heavily on activities that have comparatively little to do with data (at least on the surface), such as setting up employee resource groups, managing DEIB events, collaborating with the local community, etc.
    • Many analytics leaders (again, certainly not all!!) are only involved in DEIB efforts from the perspective of participating in them—but have had little knowledge of any of the theories and approaches underlying those initiatives
  • It’s the ultimate situation with “quants and poets” needing to work together—and in most orgs they haven’t yet.

    This situation has resulted in questions, such as:

    • How should DEIB and people analytics leaders partner on DEIB data and analytics?
    • When should people analytics be brought into DEIB discussions?
    • What is people analytics’ role in determining a DEIB strategy, especially as it relates to public proclamations of changes to representation numbers (i.e., doubling the representation of a certain group in 3 years)?

    Data Uncertainties

    Beyond these organizational and dispositional differences, there’s the question of the data itself. Diversity data have historically been treated with kid gloves, with a super select group of leaders being able to see them. Further, much of that data analysis has focused on satisfying Equal Employment Opportunity Commission (EEOC) requirements, without much additional analysis, for fear that the analysis could potentially end with the company in hot water from a legal perspective.

    In recent years, we’ve begun to see a seismic shift (we don’t say that lightly) around the thinking about DEIB data. Leaders are realizing that the potential reputational risk of NOT doing something about DEIB could be larger than the potential legal risk of uncovering something no one wants to see. As a result, they’re moving ahead with analyses.

    However, decades of inaction have resulted in orgs having a noticeable weakness when it comes to identifying, tracking, and using these data. Many leaders want to know things like:

    • What types of data can we use, who can see the data, and what precautions must be taken from a legal standpoint?
    • What are the basic metrics and analyses we should focus on initially? How does that change over time?
    • How should we “productize” DEIB analytics and metrics? To whom should that information be made available?

    Unclear Role for Vendors

    Finally, as we’ve written about for years, the DEIB tech market has grown substantially—and the biggest growth in that market has been around DEIB analytics. That said, in our interviews, we’ve heard things like:

    “I don’t know how DEIB tech vendors should fit into my overall DEIB strategy. When do I use their analytics versus our analytics and how do I integrate all this information?” Chief Diversity Officer

     

    “If I had a dollar for every time another people analytics leader told me that the Chief D&I Officer brought in a new tech solution without understanding what people analytics could do to help themI’d be a very rich man. It is so frustrating! We can do so much of this work, but they don’t ask!” VP of People Analytics

    This lack of clarity on how to work together is causing friction in the adoption of new technologies and the effective use of internal people analytics teams. Some of the important questions here include:

    • Are there particular types of work that vendors are best-suited for—versus people analytics or DEIB practitioners building the tech themselves?
    • When should vendors be brought in?
    • Who should manage the DEIB vendor relationship?
    • Where does the budget typically lie for DEIB tech?

    What We’ll Research

    We’ve laid out our thinking above on the specific questions we think are critical to answer in this research. To summarize, though, the top questions we plan to address are:

    • How should DEIB and people analytics leaders partner to drive DEIB efforts?
    • What are the different types of data and analysis approaches organizations are using / can use to understand DEIB in their orgs?
    • What’s the role of vendors? When should they be engaged by DEIB and analytics leaders?

    That said, we know we’re just at the tip of the iceberg on this topic and realize there is plenty we don't know about. To that end, we’d be deeply grateful if you could take 2-3 minutes to tell us in the questionnaire below what you most want to know about this topic:

    How To Participate

    This study spans the next 3-6 months, so there are lots of opportunities for you to participate. At the moment, we invite you to be part of this research in 4 ways:

    How should DEIB and people analytics leaders partner on DEIB data and analytics?

    1. Answer the above questionnaire. Help us understand which of the 3 areas we’ve identified that you care to learn about the most and what other questions you hope we’ll address.
    2. Let us interview you. We’re looking to interview 3 groups — if you're in one of them and up for a 30-45 minute interview, reach out to [email protected] and we’ll schedule you at your convenience:
      • DEIB leaders
      • People analytics leaders
      • DEIB analytics tech vendors
    3. Join the conversation. We’ll be conducting roundtables on this subject, starting in April. Keep your eyes open for information on the specific dates—or reach out to us at [email protected] and we’ll get an invitation to you.
    4. Share your thoughts. Read our research and tell us what you think! Shoot us a note at [email protected]. Your comments make us smarter and the research better.

DEIB Tech 2021 Overview

Posted on Monday, March 15th, 2021 at 8:24 PM    

DEIB Tech: Its Time Has Come

Global pandemic. Protests. Elections. Riots. (And whatever else happens between when we publish this article and you read it.) Needless to say, the last year has been rough. It laid bare our differences in stark relief. Shown how events impact diverse people differently. Perhaps it caused you some measure of disgust, despair, or even depression. At a minimum, it likely contributed to exhaustion.

But, at the same time, the last year has also revealed our underlying humanity. The extent to which we care about other people. The depth at which we hold our beliefs about our country. The potential we have when we work together (hello, COVID-19 vaccine!).

Given all this, there has never been a greater need for a focus on diversity, equity, inclusion, and belonging (DEIB) – both in our society and in our organizations. We have a need to understand each other and to work together, more than ever before.

Organizations throughout the world have recognized this, from top leaders to DEIB leaders to managers and employees. It’s for this reason companies are talking about DEIB more in their earnings reports than ever before and why the number of DEIB job openings has skyrocketed. The thing is this: organizations cannot just talk about DEIB and hire people to lead it. That is a good start, but it’s not enough. Organizations need to change their systems, practices, and behaviors. The change cannot just rely on individuals – it has to be baked into how the organization operates.

This is where DEIB technology can help, as it has the potential to build in practices, behaviors, insights, and recommendations that address bias. It can also provide insights about what is actually happening with people (versus relying on anecdote-based understanding) at the moment of critical decision-making about talent.

Tripping down memory lane

When we first began studying the D&I tech market in 2018, the #MeToo movement had thrust diversity and inclusion in the workspace under a spotlight. Stories and accounts of workplace discrimination, harassment, and unethical behaviors toward women in the workplace led numerous businesses to pledge to change their policies and take action.1 As a result, organizations began to feel a greater need for systemwide solutions.

In 2018, we launched our first research study on this topic, and we published a comprehensive report, Diversity & Inclusion Technology: The Rise of a Transformative Market, in February 2019. The study included a list of all the D&I vendors we identified and was accompanied by a detailed vendor landscape tool (with 2 updates since). As we shared in our initial report, tech can play a transformative role.

Fast forward to today

We (still) find ourselves in the midst of health, social, and economic crises. 2020 was not an easy year for anyone, but it especially impacted diverse people in many significant ways, including:

  • Women left the workforce in record numbers
  • Lower-income earners saw their jobs evaporate
  • The murders of George Floyd, Breonna Taylor, and others disproportionately impacted the Black community

Many companies have responded by making pledges or promises in support of the #BLM movement.2 A large number of them have focused on increasing diversity levels within the companies, both at the employee and leadership levels (for examples of such corporate pledges, see Diversity, Equity, Inclusion & Belonging: Creating a Holistic Approach for 2021).

As the pressure to follow through on these promises increases, leaders must develop strategies to achieve them––and we believe that DEIB tech represents one of the critical components of the process (see Figure 2 further down). Sophisticated tech––such as artificial intelligence (AI), deep machine learning, natural language processing (NLP), and organizational network analysis (ONA)––can help leaders manage DEIB better and more easily and are increasingly becoming more accepted as essential tools for people practices.3

Through this report, we aim to achieve 4 things:

  1. Help leaders understand the role of DEIB tech
  2. Provide insights on the state of the DEIB tech market
  3. Highlight the talent areas focused by vendors
  4. Guide leaders who may be looking to make tech investments

Key Findings

The study covers three major areas and how they have changed since 2019: the DEIB tech market, talent areas vendors focus on, and what buyers should consider before investing. We also address what we see coming next. Some of the key findings from the study include the following:

  1. Three major shifts punctuate the current DEIB tech market
    • In previous years, leaders were especially focused on gender; in 2020-21, the emphasis has evolved to include a focus on race and ethnicity.
    • Social justice movements and conversations around discriminatory workplace practices and behaviors have led to greater attention to inclusion than ever before.
    • The role of AI in mitigating bias to enhance DEIB has come front and center, and more approaches have been introduced to address this issue.
  2. The DEIB tech market is hotter than ever
    • The global market size is estimated to be $313 million and growing, up from $100 million in 2019.
    • The number of HR tech vendors offering features or functionalities that cater to DEIB as part of their solutions has increased by 136% since 2019.
    • The total number of DEIB tech vendors increased by 87%, with a total of 196 vendors in the market for 2021, compared with 105 in 2019.
  3. People analytics for DEIB has arrived
    • Lack of analytics and insights on DEIB is the primary challenge the majority of vendors help their customers solve, hence the growing number of solutions. providing DEIB analytics in 2021 compared to 2019 (28% vs 26%, respectively).
  4. Small-sized organizations and knowledge industries remain the main customers of DEIB tech
    • The largest customer category is small-sized organizations (those with less than 1000 employees), who represent almost 30% of all DEIB vendor customers.
    • However, these small organizations represent a smaller percentage of DEIB vendor customers in 2021 than in 2019, and there was an increase in the percentage of customer organizations in the 10,000-50,000 range.
    • The industries most likely to be DEIB tech customers are concentrated in knowledge industries, namely technology, financial, banking, and insurance.

Check Out the Full Study and Tool

The full study (available to members) has lots more information than what we’ve detailed here, including many more details on the market, customer quotes and feedback, and checklists for leaders interested in DEIB tech.

In addition, we encourage you to check out the brand new, fully redesigned DEIB Tech tool, which is available both to members and non-members. You can look at the 196 vendors in each of the four talent areas and their relevant sub-categories. RedThread members can click through and see details on individual vendors.

Figure 1: DEIB Tech Market Tool | Source: RedThread Research, 2021.

 

 

Figure 2: DEIB Tech Market Tool, Categories Selected | Source: RedThread Research, 2021.

RedThread members can see the areas of talent vendors focus on, the top industries served, vendor capabilities, strengths, challenges addressed, and customer feedback (see Figure 3). We provide the maximum amount of information we can, based on what vendors shared with us or what we were able to find publicly available. This tool is designed to be evergreen, so it will be updated continuously as we conduct briefings throughout the year.

Figure 3: DEIB Tech Market Tool, Example of Vendor Detail Page | Source: RedThread Research, 2021.

 

A Thank You

This study involves a significant time investment from everyone who participated in its development. We want to thank all of the vendors and customers who gave their time, energy, and expertise to make this such a robust study and tool.

If you have any questions about this research or about becoming a RedThread member, please contact us at [email protected].

 

 


Building Learning Tech Ecosystems: What the Literature Says 2 Years Later

Posted on Monday, March 15th, 2021 at 12:33 PM    

About 2 years ago, as part of our research on learning tech ecosystems we conducted an in-depth lit review on how to create such an ecosystem. We were looking for thoughtful, credible insights on how orgs, vendors, and thought leaders were approaching the question of how to build truly effective learning tech ecosystems that meet org and employee needs. Given how many vendors we'd seen offering point solutions rather than all-encompassing platforms, we were surprised at the dearth of credible sources on the topic.

In more recent research, we noted that learning tech is booming—with more vendors, more customers, more users, more functionalities, and more choice than ever before.1 Some of this growth is due to COVID-19: Learning tech got a shot in the arm during the pandemic as orgs scrambled to pivot their businesses—and the learning strategies that support them—to keep up with the massive changes occurring in their environments.

And, while some growth in learning tech was already happening (or forecasted) even before the pandemic, the upheavals of the past year have made this question much more urgent—and critical:

How should orgs be thinking about creating their learning tech ecosystems?

In other words, with so many learning tech options and so many ways to fit the pieces together, how can orgs choose tech to build the ecosystem that’s right for them?

So we decided to look at the literature again. We wanted to see if, in the past 2 years, articles on learning tech ecosystems have started pushing the thinking beyond the pedestrian. As it turns out, in some areas the thinking has moved forward—for example around learning budgets—but the advice in the literature is still largely fragmented and tactical.

Themes from the Literature

We reviewed the current literature on the topic of choosing learning tech to identify any models, frameworks, or thought leadership on creating learning tech ecosystems. The text of the 40 articles we reviewed resulted in the following word cloud (see Figure 1).

Figure 1: Lit Review Word Cloud | Source: RedThread Research, 2021.

The word cloud highlights one of our early observations during this research:

The meaning behind “choosing learning tech” is changing.

Notice in Figure 1 that LMS and LXP are the only types of learning tech mentioned enough times in the literature to show up in the word cloud. This reflects the historic meaning of “choosing learning tech.” This phrase used to mean choosing the best LMS—or, if you were really forward-leaning, LXP—for your org. But there’s so much more to the universe of learning tech—a fact that shows up in some of the other words in Figure 1 like data, digital, experiment, change, and perform. That wasn't the case when we did the last lit review 2 years ago.

This shift towards an awareness of the wider learning tech universe is reflected in the 5 themes we identified from the literature:

  • Learning budgets are shifting toward tech
  • Don’t let the tail wag the dog: learning tech decisions should be made in service of business and learning strategies
  • Advice in the literature is fragmented and tactical
  • Choosing learning tech doesn’t (necessarily) mean buying learning tech
  • L&D teams need technologists

Let’s dive into these 5 themes in more detail.

Learning budgets are shifting toward tech

By Q1’2020, most L&D budgets for the year had been set. As the COVID-19 pandemic arrived on the scene, a few orgs decided to increase their overall learning budgets to invest more than originally planned in employee development. Many more orgs, however, decided to simply shift existing funds from planned in-person training to expand virtual and online development opportunities—all of which is supported or delivered by learning tech.

Overall, orgs significantly increased their usage of online and collaborative modalities, with considerable increases in 3 types of tech tools in particular:2

The shifting trend toward tech is here to stay: As illustrated in Figure 2, in 2021, almost three-fourths (73%) of learning professionals expect to do less instructor-led training (ILT), and almost four-fifths (79%) anticipate doing more online learning.3

Figure 2: Percentage of L&D Professionals Expecting Investment Changes—ILT vs Online |
Source: LinkedIn Learning, 2021.

Tech decisions must serve strategy

Don’t let the tail wag the dog: Tech decisions should be made in service of business and learning strategies.

A prominent theme in the literature is linking tech decisions to strategy. Many articles we reviewed emphasized the importance of understanding what your org is trying to achieve before deciding what tech is needed. Otherwise learning leaders risk investing in tech they don’t need and probably won’t use.

We particularly appreciated the point by two authors, Nan Guo and Bülent Gögdün, that in some orgs:

“… What goes wrong is the wasteful spending to signal innovativeness without solving a real problem.”4

Bottom line: While it may be tempting to experiment with new technologies, it's important to remember that novelty doesn't necessarily solve business problems. Instead, learning leaders must clearly identify what they want to achieve through employee development—what business results they seek to support—and look for the tech solution(s) that can help realize those goals.

Advice in the literature—Fragmented & tactical

The literature contains many, many articles on how to choose specific types of learning tech—an LXP, an LMS, or the latest VR tech, for example.5 As we saw in the word cloud above, LMSs and LXPs are far more represented than any other type of learning tech.

Where the literature falls short: Most articles don’t account for the incredible range of available tech that can be leveraged for learning—or how to fit the various pieces together into a cohesive ecosystem6 which evolves over time. Although some helpful checklists (provided by vendors) exist to help buyers think through various aspects of a learning tech purchase, most of these checklists focus on each vendor’s area of expertise.7

We see an opportunity to write about more holistic approaches to choosing learning tech.

These specific, tactical articles are very helpful—if you already know what tech you need. But there's not much in the literature for those leaders who need to step back, identify needs, and take a more holistic approaches to choosing learning tech.

Choosing learning tech doesn’t (necessarily) mean buying learning tech

Some articles in our lit review noted the importance of understanding the full capabilities of the tech already in-house. According to one source, 89% of orgs already use at least 3 learning tech platforms.8

89% of orgs already use at least 3 learning tech platforms—and most platforms aren’t being fully leveraged.

There’s a good chance that in-house platforms offer features and functionalities that could support learning needs—and which aren’t currently being used. This situation often arises because a platform is purchased to meet one need (or set of needs) and only certain functionalities are turned on to meet those needs, even though the platform has more to offer. In other cases, vendors add functionalities during platform updates.

Some orgs also have the in-house capability to build systems, processes, and / or platforms to meet learning objectives.

So, before making any additional purchases, it’s critical to understand what features already exist—or could be built in-house—and how they might be leveraged. Considering all the different ways to acquire tech—not just buying—can help learning leaders make the most effective, cost-efficient learning tech decisions.

L&D teams need dedicated learning technologists

The fact that most orgs already have multiple learning tech solutions makes any learning tech decision more complex. L&D leaders must not only ask what already exists—as discussed in the previous section—but also how any new tech would integrate with existing systems.

Enter the learning technologist!

Learning technologists have unique skills—amounting increasingly to full-time jobs and, in some orgs, entire teams—that allow them to:

  • Truly understand the learning tech that’s available in the market
  • Envision how learning tech might help solve an org’s specific business challenges
  • Figure out how all the different pieces of tech can be leveraged and assembled / integrated together

Traci Cantu, then-director of learning technology at Whole Foods, emphasized in a podcast that learning tech bridges the worlds of HR, IT, operations, and learning.9 It’s helpful to have team members dedicated to understanding and navigating this nexus.

Or, as another article put it, in the L&D orgs of the future:

“Learning technologists will design and implement the right technology stack with the right mix of tools—from traditional learning management systems (LMSs) to modern learning experience platforms (LXPs)—and fit-for-purpose learning apps.”10

Next, we take a closer look at some of the key articles we discovered in our lit review.

Sources That Caught Our Attention

Several articles—and one podcast—in the literature illuminated key considerations about choosing learning tech. The sources below contain insights we found both intriguing and helpful. We learned from their perspectives and encourage you to do the same.

Three Steps to Turn Your Company into a Learning Powerhouse

Andrew Dyer, Susanne Dyrchs, J. Puckett, Hans-Paul Buerkner, Allison Bailey, and Zhdan Shakirov | BCG, November 2020

This article outlines how to put learning at the forefront of the org. It includes tech as 1 factor to consider, situating tech decisions within the overall learning and business strategies.

“Does your company have the necessary infrastructure—the tools and technology—to measure, support, and continuously improve the learning ecosystem?”

Highlights:

  • The 5 domains that make learning ecosystems successful are:
    • A refined strategy
    • A mature learning org
    • High-quality offerings (library of content)
    • Enablers / infrastructure to support delivery
    • “Learnscape integration”—a community of providers inside and outside the org
  • The authors developed a set of questions to evaluate these 5 domains, including learning tech in the “enablers” domain
  • CEOs must measure learning capabilities against KPIs
  • Orgs must assuage leaders’ fear of investing in employee development only to lose those people to other teams or even other orgs entirely

Workplace Learning Report: Skill Building in the New World of Work

LinkedIn Learning, 2021

This comprehensive article on the state of learning in the workplace highlights a number of key trends that resulted from or were accelerated by the COVID-19 pandemic. The section on L&D budgets is particularly relevant for this research on choosing learning tech.

64% of L&D pros globally agree was the moment learning shifted from a “nice to have” to a “need to have.”

Highlights:

  • L&D has gained a lasting seat at the C-suite table as CEOs continue to prioritize learning; as a result, L&D budgets are likely to continue increasing
  • The pivot from instructor-led training to virtual / online learning is here to stay—as reflected in learning budgets, which are allocating far more to tech than previously: 79% of L&D pros expect to spend more on online training in 2021
  • Upskilling, reskilling, and internal mobility are top priorities for orgs and L&D in 2021
  • Resilience and digital fluency are the most important skills cited by L&D leaders

Navigating the Corporate Training Market During the COVID-19 Pandemic

Ken Taylor | Training Industry, April 2020

This article offers a great snapshot of the state of learning tech at the beginning of the COVID-19 pandemic. It reflects much of the uncertainty in the market and offers advice to vendors about how to best serve L&D teams struggling to pivot quickly.

TrainingIndustry.com has seen an 8.6% increase in web traffic over the past few weeks , with an 8,135% increase in topics related to remote learning, virtual instructor-led training (vILT), and leading through adversity and change.

Highlights:

  • Although some learning tech spending was put on hold in the early days of the pandemic, as of April 2020, orgs appeared ready to increase spending on learning tech
  • Prepandemic:
    • 89% of companies surveyed already had more than 3 learning tech solutions in place, and almost a quarter (23%) had 9 solutions
    • More than 20% of companies planned to increase their investments in learning management systems (LMSs), eLearning, digital content solutions, social / collaboration tools, and delivery platforms
    • Two-thirds of companies felt they were ready to introduce new training tech
  • While the pandemic enabled greater spending on tech, “old problems still exist”; orgs still need to cultivate a strong L&D strategy

A review of L&D budget allocations in 2020

Rocco Brudno | Coassemble & Brandon Hall Group, November 2020

This article describes the changes in L&D budgets in 2020, including helpful statistics on overall budget shifts as well as data on how learning tech priorities change based on on org size.

The majority of businesses didn’t shrink their L&D budgets in 2020 but rather shifted, and in some cases, expanded them.

Highlights:

  • The majority of L&D budgets did not decrease and, in fact, some increased in 2020
  • 83% of small businesses and 97% of large businesses that responded to this article’s survey reported the use of an LMS, and almost one-half of businesses said they keep their LMS for more than 4 years
  • Almost one-half of businesses surveyed didn't know how much their LMS costs per learner annually
  • In addition to LMSs, video platforms and authoring tools were the most valued learning tech solutions among survey respondents, while microlearning and coaching / mentoring solutions were also seen as valuable

Navigating the Purchasing Minefield

Christopher Lind and Jordan Fladell | Learning Tech Talks, February 2020

This frank and fun podcast illuminates many of the landmines in the learning tech purchasing process, and provides helpful, practical insights to learning leaders about how to avoid or mitigate those challenges.

You need to know in detail what L&D must support, what your learning tech systems already can do, and what they can't. And where they can't—that's where you say, “We need X new tech.” Then you have your case built and your internal stakeholders onboard.

Highlights:

  • The RFP process is currently broken—it’s a check-the-box exercise that just encourages L&D leaders to chase features
  • L&D leaders need to clearly understand the business challenges most important to their org—and select learning tech that can help solve those issues
  • Learning leaders must set a scope for their due diligence searches to avoid being overwhelmed by the choices out there
  • Selecting the right learning tech includes understanding whether a new tech can integrate with existing systems exactly as your org needs them to

Additional Reading Recommendations


The Skills Obsession: Designing the Skills Future

Posted on Tuesday, March 9th, 2021 at 12:14 AM    

Listen

Listen to my podcast

Guests

Lisa Kay Solomon, Futures and Design at Hasso Plattner Institute of Design at Stanford d.school

DETAILS

What I introduce to are the kinds of skills that allow them to navigate ambiguity.” If that seems like urgently-needed capability you or your team to have you’re in luck, as you’re about to find out a whole lot more about why you’d need such a thing… and why you won’t find it, alas, in today’s conventional curriculum (including corporate L&D).

In the first full episode of our new RedThread podcast—our deep dive into what we’re calling capitalism’s focus on ‘The Skills Obsession’—we meet passionate educator, innovator and bestselling author Lisa Kay Solomon. Designer in Residence at the Hasso Plattner Institute of Design (‘the d.school’) at Stanford University, Lisa presents in her dialog with Stacia, Dani and Chris something of a masterclass in what thinking about the future actually needs to consist of—and how that feeds into her conviction that, “learning is the currency of possibility.”

Find out more about Lisa and her work here and her chosen workplace platform for her interventions, the d.school, here

Webinar

Workday will host an exclusive live webinar towards the end of the season, where you can meet the Workplace Stories team of Dani, Stacia and Chris, and join in a conversation about the future of skills and skills management. Find out more information and access content at www.workday.com/skills. 

Partner

We're also thrilled to be partnering with Chris Pirie, CEO of Learning Futures Group and voice of the Learning Is the New Working podcast. Check them both out.

Season Sponsor

We are very grateful to Workday for its exclusive sponsorship of this season of the Workplace Stories by RedThread Research podcast. Today, the world is changing faster than ever, and you can meet those changing needs with Workday; its one agile system that enables you to grow and re-skill your workforce. Workday is a financial, HR and planning system for a changing world.  

TRANSCRIPT

The five key podcast soundbites:

What I introduce to are the kinds of skills that allow them to navigate ambiguity, and to use their imagination in order to expand their perspective around what might be—and then to bring those futures to life.

I think about skills as learnable abilities, but what does that mean? It means you can develop an ability, do something, by practicing it over time. Much of my work is really about creating conditions to allow for deliberate practice of these new skills; how do we learn how to ask questions through a discovery lens? How do we learn how to become more resilient? How do we learn how to navigate ambiguity? I believe these are teachable and learnable skills—and that makes me so happy.

One of the things that's interesting to me as I get more serious and more focused on teaching futures literacy and futures thinking and strategic foresight as a strategic skillset, is that it's not really taught anywhere. And it's certainly not taught in a foundational K-12 context. The closest thing you can get is History and Humanities.

To me, learning is the currency of possibility; I not only makes me more creative as an educator, as an author, as an idea person, about trying to make sense of where we're going, but I think it gives me the opportunity to be more resilient—when you learn, you're more resilient.

There is so much emphasis on getting to answers quickly: on performing. What do we need for the future? We need people comfortable with being curious. We need people comfortable being courageous and being able to say, I don't know this, but I know it's a problem, so how else can I learn more about it?

Welcome to Workplace Stories hosted by RedThread Research, where we look for the Red Thread connecting humans, ideas, stories, and data—defining the near future of people and work practices.

Stacia Garr:

My name is Stacia Garr, and I'm the co-founder and principal analyst at Red Thread Research, along with Dani Johnson, who is also co-founder and principal analyst at Red Thread and Chris Pirie of the Learning Futures Group. We're excited to welcome you to our first podcast season: this episode is part of Season One, called The Skills Obsession in which we investigate the current preoccupation with all things skills. We talk to thinkers, writers, leaders, and practitioners about the current state of thinking on why and how we are managing skills at the people and organizational level.

Chris Pirie:
We are very grateful to Workday for their exclusive sponsorship of this first season of the Red Thread Research podcast. Today, the world is changing faster than ever, and you can meet those changing needs with Workday. It's one agile system that enables you to grow and re-skill your workforce. Workday is a financial HR and planning system for a changing world.

Workday will also host an exclusive live webinar towards the end of the season where you can meet the team Dani, Stacia and myself, and join in a conversation about the future of skills and skills management. You can find out more information and access exclusive content at www.workday.com/skills.

Lisa Kay Solomon:
I help students learn skills they don't yet know that they need.

Dani Johnson:
That was Lisa Kay Solomon of the Stanford University d.school. Lisa is a best-selling author, educator, speaker, and dynamic force for good in the world; she’s dedicated her career to making design more accessible and learnable. Lisa is currently a designer in residence at the Stanford d.school, where she focuses on bridging the disciplines of Futures and Design Thinking, creating experiences like The Future's Happening to help students learn and practice the skills they don't even know. They need.

Lisa Kay Solomon:
I think about skills as learnable abilities, and so much of my work is really about creating conditions to allow for deliberate practice of these new skills. So how do we learn how to ask questions through a discovery lens? How do we learn how to become more resilient? How do we learn how to navigate ambiguity? I believe these are teachable and learnable skills—and that makes me so happy.

Dani Johnson:
Lisa is a long time friend. We've had the opportunity to sit in a couple of her sessions at the d.school, and we were really intrigued with how they made us think differently and how she's talking about the skills that people will need in the future.

Lisa Kay Solomon:
We can see the past, but we can't influence it. We can't see the future, but we can influence it. And so to me, that's a call for getting more serious about the scales and the discipline of learning how to imagine a multiplicity of futures, or at the very least challenge our status quo.
Dani Johnson:
Let's listen into our conversation with Lisa Kay Solomon.

Stacia Garr:
Welcome, Lisa, thanks so much for joining us on this podcast: we’re going to be talking all about skills in this season, and we are just delighted to have you helping us think through skills and the future of work. And what does that all mean as we bring it together? So can we maybe start with a little bit about you and your work? I know you mentioned that you are helping people design and think about the future: can you tell us a little bit more? What does that mean: what is your work?

Lisa Kay Solomon:
Well, Stacia, thank you so much for having me. I'm thrilled to be talking about skills, and as they relate to the future of work—I think about this all day, every day.
And the challenge in part with my work is that at the d.school, where I teach classes about the future and design, I help students learn skills that they don't yet know that they need, because what I introduce them to are the kinds of skills that allow them to navigate ambiguity, and to use their imagination in order to expand their perspective around what might be—and then to bring those futures to life.
And if you think about where most of these students have done their foundational learning… you won't see any of those skills in there! So it's very much applying some of the foundational skills around learning how to read and literacies across all different disciplines, in new ways. So my work is really to not only bring these students on board, to help them see that they are capable of learning these new skills, but to give them the space, to master them over time.

Stacia Garr:
Amazing. Well, let's step back because you used the word skills. I use the word skills as we started this, but what does that even mean? It's a really broad concept, and so what does that word mean to you?

Lisa Kay Solomon:
Again, I want to say thank you for doing a whole series on skills, because skills are, it's one of those words that we throw around, and we may be talking about different things, I don't think there's any necessarily one definition; the way I think about it, I think about skills as learnable abilities—again, more, more meta words—but what, what does that mean?
That means that you can develop the ability, do something by practicing it over time. And so much of my work is really about creating conditions to allow for deliberate practice of these new skills. So how do we learn how to ask questions through a discovery lens? How do we learn how to become more resilient? How do we learn how to navigate ambiguity? I believe these are teachable and learnable skills—and that makes me so happy.

Stacia Garr:
One thing we've been wrestling with is since we've been doing the research is this concept of skills versus competencies. And are those things that you just mentioned, are they, are they competencies or are they skills? Are we kind of just calling what we used to call competencies skills now? Or does it even matter?
Lisa Kay Solomon:
Yeah, that's a great question. I don't tend to get hung up too much on the semantics, as long as they don't confuse us. So that's why I like to break it down to the smallest bit.

So for about nine years, I taught at a really revolutionary program in San Francisco. That was an MBA in design strategy, housed at the California College of Arts. So imagine, right—this is probably like mind-blowing to some of your listeners right now—like what is an MBA program doing in a 110-year old Arts and Crafts school in San Francisco? Crazy, right?

And what I used to say about that program—and we could talk a lot about it, because it was my first introduction to actually transitioning my career from being an advisor to an educator where I had to think very seriously around what am I organizing this learning experience against—what are the skills that I hope that our students come out of this program with?

And it allowed me to articulate that, for starters, I wanted employers and organizations to know that when they hired a DMBA-er, as we used to say, they were getting a certain kind of talent that they wouldn't necessarily find in a more traditional program, because we utilized some of the critique-based, project-based learning typically done in arts or architecture applied towards analytics and systems thinking and business processes that the employers were getting, or the people hiring them were getting someone that was more adaptable, more flexible, more resilient, more comfortable with iteration and rapid learning.
Is that a skill? Is that a competency? Does it matter? I don't know. It only matters because we've developed systems that are trying to measure these things. And so it was really interesting to try to help the students understand that what they were learning may not be yet on the hiring docket of what these organizations were looking for on paper, but they were developing the skills that these organizations needed for the future.
Stacia Garr:
Interesting. Yeah, that reminds me, Dani and I have very different backgrounds. She is an Engineer and I am actually a Historian by education. And one of the things I've talked about as being the most valuable that I learned from that education is pattern recognition. And what we do as researchers in HR is pattern recognition, seeing things, and ideally seeing them before other people do so that we can help elevate the understanding of what's happening out there.
But I think it speaks exactly to what you're saying: as a historian, no one was saying I was going to apply that skillset to doing this type of work, but it gives you that foundation to really do amazing things in really any context.

Lisa Kay Solomon:
I love that you share that partnership. I feel like you just model the debate. My husband and I argue every night about what our children should be learning. He's in the venture capital business, he loves STEM, he loves coding, and I do too, and I do think technology is and will continue to be a huge part of our future. And we talk at the d.school about the importance of coding literacy and even understanding that tech really is the design material of the future. And Stacia, to your point, like where do you learn how to imagine the future by understanding the past by understanding patterns? I love the Mark Twain quote that I heard was recently debunked, but until I hear the original person said this quote, I'm going to keep saying it, which is that history doesn't repeat itself, but it rhymes.

You know, one of the things that's interesting to me as I get more serious and more focused on teaching futures literacy and futures thinking and strategic foresight as a strategic skillset, is that it's not really taught anywhere. And it's certainly not taught in a foundational K-12 context. The closest thing you can get is History and Humanities, which is ironic, right? That the closest thing to helping you understand the future is actually to study the past.
And I'll bring in another one of my favorite quotes from Stewart Brand, who was the creator of the Whole Earth Catalog and he actually created was one of the founders of Global Business Network as scenario planning from where I first did my futures work almost 20 years ago. And he says, we can see the past, but we can't influence it; we can't see the future, but we can influence it.
And so to me, that's a call for getting more serious about the skills and the discipline of learning, how to imagine a multiplicity of futures or the very least challenge our status quo of this official future that we're all walking around with.

Stacia Garr:
Right, right, and I love that idea of multiplicity of futures—so this concept that we may think that there is one future, but there clearly isn't and, and having a sense of thinking through what could those different futures look like and what are, back to our topic, what are the skills that we might need to make those futures come to life in a way that is satisfying for each of us.

You’ve talked a lot about your transition, you mentioned going from an advisor to an educator, and obviously the skillset that you have as a Futurist is not one that you necessarily learned in a specific place. So can you talk a little bit about the skills you need to do your work today, and how you even acquired them?

Lisa Kay Solomon:
How much time do we have? I don’t know—I’m still figuring it out! I mean, one of the things I love about my work is I learn something every day. To me, learning is the currency of possibility; I not only makes me more creative as an educator, as an author, as an idea person, about trying to make sense of where we're going, but I think it gives me the opportunity to be more resilient—when you learn, you're more resilient. And that's what I love about design, and why I'm so passionate about teaching the skills of design: who doesn't want to feel like they have agency over their future, even when the world around us is getting more complex and filled with more ambiguity and uncertainty?

So I take these skills very seriously as an educator, as a designer of new possibilities, as a parent, as a member of my community: I'm always asking ‘what if,’ right? That's probably the biggest, quite the biggest skill that I bring to the table is this sense of maybe applied optimism or applied possibility, which is this combination of like observing the world around me first, having the humility to not go in there with a solution looking for a problem, but to really pause and pay attention, what's really going on here, and to try to understand it at different levels, like what's the presenting source of pain or challenge—what’s maybe driving that, so now you're sort of look at it through a systems lens to try to understand, like what might be the root causes, then the ability to say, well, all right, what parts can I influence, and what parts are out of my control? And then the ability to say, well, ‘what if’—what if we tried this and the ability to put that out there, not knowing if it's a right idea or not.So over time, being confident that or comfortable maybe offering up a possibility without full information or guarantee that it's going to be the right one.

And I want to juxtapose that with where so much of our foundational schooling is, and certainly a lot of what I see in the Stanford students, which is there is so much systemic reward for being right. There is so much emphasis on getting to answers quickly: on performing. What do we need for the future? We need people comfortable with being curious. We need people comfortable being courageous and being able to say, I don't know this, but I know it's a problem, so how else can I learn more about it? Who else can I bring here?

And I think that's the other big skill that I have Stacia which is, I am very excited to build and learn from others, build relationships and learn from others, and I fully credit my mom for that, and that is because she was a chief learning officer for 25 years. And before that got her training in psychology counselling—so she's a PhD who loved to unpack the dynamic of the human experience.

She actually wrote a class at Penn when I was too young to even appreciate what a rock star she was, called the psychology of personal growth. How cool is that—that this woman was so ahead of her time. I mean, now, she'd be like a Brené Brown or an Oprah!

And her intuition was like, she saw these Penn students—we grew up in Philadelphia, and she worked and taught at Penn—and she saw these students like so raring to achieve, and she wanted to give them an opportunity to pause, to learn about themselves. And so that was my context growing up—seeing someone who was herself, always learning and asking questions. And she used to say when she went in as a chief learning officer, that her job was to be the learning partner of the leaders that she worked with. I just thought, That's so cool.
Chris Pirie:
I'm going to chime in here with a question, if I can, based on what I've heard so far? One of the things I'm hearing from you is quite a lot of references to what I would call ‘mindsets’ or ‘approaches’? It might be useful to talk a little bit about design, about your sort of stock in trade, around design. What do you think are the skills and the mindsets that are important for design, and what's happening in the design world? Because I'm sure it's not standing still; I'm sure there are changes and forces at work on the world of design. So talk about design through the lens of, of skills, if you could?

Lisa Kay Solomon:
Well, design is another big topic that we could cover. And I think part of what I try to do in my contribution to the field is to break it down so that everyone could see themselves in the definition of design. So there's lots of different ways to describe design—design as an output, design as a process, design is a set of practices, which is where I tend to fall. Because again, those practices are teachable and learnable.
And I'll give you two definitions that I love just to make sure that everyone, because this is a learning podcast around skills, they may be like, I'm not a designer. Well, newsflash—I think if you're in the learning business, you're in the design business. And here's why: my favorite definition of design comes from my dear friend and colleague Nathan Shedroff, who started that MBA design program that I mentioned earlier, and he's been in design for 30 years.

And what he says is as a designer, it is my responsibility to make choices that trigger the right responses. To make choices that trigger the right responses. Okay, so that's interesting, so that seems to suggest that first of all, you are in the service business, right? Because your job is to make a choice that sets somebody else up for success.

And if this is still abstract, just think about like, I often say to people, what's, what's something well-designed in your mind that, that you love. And I get to answers more than any first time. First people say, I love my iPhone. Okay, well, a number of people made choices to help you love your iPhone. Right? What does your iPhone do for you? Well, it's a mini-computer in your hand and it's seamless and it's beautiful, okay: so they made choices to trigger those responses. And so it suggests that you need to know enough about the people you are designing for them—what success looks like for them or the kind of goals you're trying to trigger for them?
So in the spirit of a learning context, your job as a learning professional is to create choices, to help the person you're designing for, you’re making choices for, be successful. So you need to understand what success means for them? What does it mean in the context of the role? What does it mean in the context of the organization? What does it mean in the context of the industry? So you have to have a lot of different information before you make any decisions about what it is that you were going to bring for them forward to them.
So that's design, and then I'll try to even get it down a bit more concrete. When I think about, and this comes from the work of Don Norman originally, he was a cognitive scientist/psychologist who wrote the book The Design of Everyday Things, which is a foundational book in the world of design. And he basically said design's role is to do two things: one is to deliver functional utility. So, again, in the context of learning, am I helping you learn something you didn't know that helps you do your job as a functional utility. And I would say, and this is what makes great design, the emotional engagement piece, right? So you're not just learning it because it's like hideous and you're trying to memorize it; you are becoming more of yourself when you're learning it. There's an element of joy. There's an element of vibrancy. There's an element of humanity, because humans have that emotion. And we now know from research, that emotion is actually triggered to learning and that's equally important in the decisions you're making, right? Which is why, for example, and I'm just going to take this meander down to this most basic level in the spirit of design, like you could design a very dry worksheet to try to get someone to learn something new—or you could create an immersive experience, where they're using their full body. Which one is going to have the lasting impact that you want in terms of them advancing their abilities in some way? We know it's the ladder. Well, that takes a totally different skillset to do so.

Stacia Garr:
I love this. One thing I don't think we told you before we roped you into talking to us today is the other group that is going to be listening to this podcast is people analytics leaders, because people analytics is very much so a part of understanding skills, quantifying skills and helping us think through what ones we need in the organization in the future.

And some of the research we've been doing around people analytics technology really gets at this point around making your words, making choices, that enable success. And we've been talking a lot about how, before you, as a people analytics leader, design a study, or you design a dashboard, you need to understand the people who will be using that dashboard will be using that data. What decisions are they trying to make? And what does the success mean as a result of those decisions? But I think the point that you just made kind of made a light bulb go off in my head around the emotional component. So when Dani and I write a study, we use a story brand perspective, which is understanding what the high level problem is, what the specific problem is, and then what the emotional personal problem is. And so for anybody who, in this example, is using a people analytics dashboard, or is looking at the skills problem from a quantifiable perspective, they're going to have an emotional angle to this too. And as we think about how we present data or how we present decisions, we need to be thinking about that emotional connection, so are we going to be able to help that person solve the problem that may be stymieing their career right now? Or the one that they say we've just got to be able to get our heads around what new things we need to do, because that is an emotional problem, too, and we can bring data to bear on that, but understanding that that's a problem that we need to solve. In addition to the presenting problem, I think you called it simply, what skills do we need an organization?

So I love this idea of applying the utility and the emotional component to some of these kinds of more data-driven questions that we see with skills as well.

Lisa Kay Solomon:
I mean, it's such an interesting point, Stacia, and I think it is Blue Sky territory around. Re-Imagining what these metrics are for some of these more qualitative and hard to measure skills. Like I said, we're at the dawn of a new era and in many ways, the last 10 months of navigating three crises at the same time between the pandemic and the economic crisis that we're facing and the real reckoning on institutional racism and demand for changes in how organizations support diversity—the old metrics don't fly, none of them! (Well, not none of them, but very few of them.)
So we have to be comfortable in really saying, let's design backwards. At the end of the day, not only do we want to be able to show results for our organization that shows whatever it is, profitability, growth, resilience, strength, we also want to be able to say, what does it mean for someone to feel like they are thriving at this organization—to feel like they are contributing their best talents and passion and power, even, to this opportunity? Because of course we know that’s what's going to enable them to stay and recruit others and put their best foot forward.

I'm not up to date on the latest numbers around engagement, around trust, around support, but I don't think they're good. So something tells me, and so we're doing a lot of work measuring the wrong stuff. Now, I don't mean to say that so glibly, because then of course the answer was, well, what’s the right stuff we should measure. And I don't think we know yet how to measure some of this stuff. How do we measure imagination? How do we even measure curiosity? How many times somebody put a question in a team search form, how do we measure the strength of your relationships, the diversity of your race? We're beginning to, but I don't think we should fall in love with these early metrics; we’re not there yet.

I remember a couple years ago I had a conversation with the head of school, my daughters go to a really fabulous school, all girls school and the head of school pick these character themes every year to do deep dives into. And one year as resilience, understanding I live in Silicon Valley and the pressure to perform at Silicon Valley is out of proportion with, I think the developmental needs of young people, not unique to this school and sort of endemic to certainly this area and many others. And so I thought it was a very noble and brave thing to be able to say, look, we're going to focus this year on resilience. And I remember being at a parent coffee and it just raised my hand. I was like, if this goes, well, how do we know? How do we know that our girls are more resilient? (This happens to be an all girls school.) How do we know? And I have to believe that in this answer, and this is very draconian, it has to be something better than they don't mention being depressed. That's not the metric!

And so I think that's the creative challenge ahead of us is to really say like, what is it, what is it we're shooting for now? The exciting part is that I think different fields are getting at this, but we need to come together some ways—we have some studies on happiness, some studies on thriving, some studies on becoming on growth mindset. And we need a sort of mind-meld of some of these to really understand what that looks like in the context of a work in the context of community contribution.
So I'm hopeful, I'm excited—but I think we have a long way to go.

Chris Pirie:
Some really interesting ideas that I just took away from the conversation so far is one is you, you mentioned that skills are teachable, eEven these mindset type skills of resilience and fortitude and curiosity, they're teachable as well. So that's kind of an interesting parameter.

The other connection that I'm making is with the work we've been doing around purpose, which turns out to be a lot about human motivation and the psychology of engagement. And I think we're in that territory again here, in terms of thinking through what a skill is; if I can write code it's useless unless I'm motivated to do that to solve a problem. And, and so there's something very, very interesting about that.

Lisa Kay Solomon:
Yeah. I just want to pick up on a couple of things there, Chris, thank you for calling that out. It is. I keep coming back to my purpose, which is to help make these intangible skills, teachable and learnable.

I believe that, every day, and I feel so privileged to do this work and I love the idea that our all leaders leaders of all ages—and I'm doing increasingly more work with K-12, because my experience working with executives frankly, is that we have to spend a whole lot of time unlearning to then relearn—and so my systems thinking brain was like, why don't we just get it earlier in the pipeline to teach them that?

So it's like, why don't we try that? So I'm doing a lot of work, actually, with schools in K-12 around creating futures, programming and literacy, and what does that mean? And we're just in the early stages of articulating that, but one of the foundational ones that is true for both design and futures is this notion of navigating ambiguity. I totally agree with you, Chris, that it's a mindset, but it is also a skillset. Let me give you a couple examples of that. One of the ways that we tolerate ambiguity is just to identify that there are a number of ways that something might unfold—that there's not a single right answer. And so we actually spend time identifying a spectrum of possibilities, right? And so we even did this when I did some early scenario planning around COVID, back in March, where we said okay, well, what's one critical uncertainty that we don't know about how it's going to unfold. Well, is the pandemic going to be short and relatively quick, or is it going to be long, longer and more durable in some ways… How do you know, let's unpack that?

Well, what would lead it to be short and quick? Oh, well, we have therapeutics that work, we have abundant testing, we have PPE, we have supportive healthcare. We have vaccines. Okay… what would lead to it being longer? Oh, well we do have shortages. So now, all of a sudden, we're doing another design principle, which is going from the abstract to concrete in order to help break down the ambiguity of ‘how long would this pandemic last’ into more understandable terms.

Now, again, we're not predicting, but we're managing our ambiguity by naming ends and by breaking it down and allowing us to get into a more active research mode than we would have with that big question of, I don't know when the pandemic is going to end.

So that's one strategy, and therefore like coupling it with a couple of practices on how to navigate that question. That’s just one of them. So next week, I'm starting winter quarter teaching my favorite class, called Inventing the Future with Tina Seelig, who is a brilliant creativity entrepreneur guru at Stanford, a real thought leader and author, and Drew Endy, who runs Bioengineering—such a fun class. The whole purpose of the class is to get students more comfortable unpacking the ambiguity around us. And the original inspiration for the class when we started developing it three years ago was to help primarily engineering and CS students not jump to the question of, can we build it, but to really pause and say, should we build it? How do we know? Well, what if we could give you skills and practices that at least help you better understand the potential implications of it? So that's just one sort of specific example. And over the course of the 10 weeks in the quarter, we introduced various creativity and futures practices in order to develop, help them develop the skills to think about what it means to invent the future.

Stacia Garr:
Very cool. My husband was one of those Stanford students who actually took Tina Seelig’s class, and I can't say how much just her approach and her thinking at the d.school just changed his approach. He was a master's student, and it just I think fundamentally shifts once you've gone through that experience of design and over the course of 10 weeks, incredibly shifts the way you look at the world. So I just want to put an exclamation point on the work that you're doing and folks at the d.school are doing, because I think it makes a huge difference; I've seen it!

Lisa Kay Solonon:
That's great to hear it; it’s transformational. What's so fun is when you see the light switch flip; you just don't know exactly when it's going to happen, but it is that embodied cognition about like, wait, what—I don't have to accept these assumptions at face value. I have the ability to identify all the assumptions, ask myself what would be the opposite, then go into a research mode to see if the opposite might be true?
I mean, it's transformational, it’s epic, but Tina's brilliant and the class is designed to make it accessible to say the ability to imagine something new—the ability to ‘be innovative’ or a creative problem solver. That's not for a select few, that's for all of us, If we allocate intentional practice to these skills, we cannot get better at things we don't practice; I don't know about you, but I was not born learning how to make a beautiful PowerPoint. I just wasn’t, right; I had to practice.

And so then you have to put yourself in a position where to say, how could I practice with people that are masters at their craft—how can I learn from them, how can I apprentice from them, how can I use technology to facilitate that? So, yes, it starts with a mindset, as Chris said earlier, which is foundationally a growth mindset that I can learn something, I want to learn something, I'm capable of learning something. And then it's the grit, it's the perseverance, it's over time, and being willing to take feedback and say, how could I do better?
Chris Pirie:
But there's something else going on at the d.school in the context of Stanford that I think is interesting too. Because if I'm at Stanford, studying Neuroscience or Biology, there is an accepted curricular and path of study to do that, right; there is a set of skills that I need to acquire, whether it’s how to properly use a pipette or understand the knowledge base around chemical interactions, whatever.

What you do in that context, though, what the d.school does in that context is sort of collide people together from different disciplines. And so I think you're saying that there's something going on other than following this sort of established set of skills and knowledge acquisition. Can you talk about that a little bit?

Lisa Kay Solomon:
Absolutely—and I agree with you, Chris, we are a very, very lucky place. I mean, the d.school, first of all, is a little bit of misnomer in that it's not really a school from a standpoint of having a curriculum; it’s a institute of experimentation and creativity, really, which allows us and encourages us to take Stanford students from all disciplines, whether they're master's students or undergrad, CS, Humanities, PhDs, to come and learn together in an experiential class that exposes them to these practices of creative problem solving against a real-world problem, ideally.

And so you're exactly right, Chris—we want students that come in with their body of knowledge, their depth that they are learning, and to then go adjacent to go abroad—I mean, sometimes we talk about T-shaped people where they’re kind of applying their different skills.

Again Stacia, this has really helped my dinner conversations with my husband; the book Range that came out which talks about the importance of being able to pull from different disciplines. This of course, makes me think of Steven Johnson's work on where good ideas come from, where he talks about the adjacent possible. And so there's something about the d.school that creates an environment of psychological safety. I mean, we know that if you sign up for a class at the d.school, part of our job as educators is to make it safe, to take risks. And in fact, on day one of our class on Inventing the Future, we say to the students, if you come to this class, you get a guaranteed A, this is not your class. We can't tell you what an A looks like; we can tell you that you have to show up every day,ready to learn, ready to take risks, ready to go into new places.

So again, Chris, your point, that's not in the textbook; that’s not like, okay, now I'm at the 201 level. And Chris, you and I have talked about this before; this is why I love, for example, the practices of improvisational theater, because it forces you to get comfortable taking the next step without all the information. And a lot of times at the d.school, some of the opening activities we'll do are steeped in improvisational theater practices; we call them Stokes or warmups, but they're really to kind of get you present, get you loose. It's been very interesting to learn how to translate them in a remote setting, but we're doing it, and we are pushing our craft on that.

But Chris, going back to your point about the sort of pedagogical difference to say, you are not here to acquire knowledge that has a checklist; you are here to identify areas of practice that you want to explore for yourself. And the d.school, even in the last few years, has really has really migrated its focus from teaching the design thinking process, which was really popularized by David Kelly at the d.school, which is a user set human-centered approach to solving problems, first, you got to understand and empathize and you have to define what the problem and new idea. I think that that process was useful as an on-ramp, but I was always as a human capacity person, and I was always interested in what did it unleash? What were the practices that it unleashed—what did that process afford you, the experience of getting exposure to.

And over the last five years or so, we've been migrating from teaching the process or a process to really teaching abilities. And we have identified these eight design abilities that include navigating ambiguity, communicating deliberately building and crafting intentionally experimenting rapidly, moving between abstract and concrete. And I encourage anyone to go to the d.school to really read through them because I don't want to overwhelm you with, with all of them, but to me, this is the sort of the layer that you can add on to any of those discreet disciplines that will really expand your ability to solve important problems.
Chris Pirie:
Great. It's great because you've introduced another synonym that we can use for skills—this notion of ‘abilities.’

Dani, I know you have some, some questions, sorry.

Dani Johnson:
I have so many questions! As an engineer, I’ve always looked for the right answer, because that's how I was brought up. But I'm curious, Lisa, about your take on when we started needing to go back to our human self and look at design? It seems like the majority of progress that has been made since the beginning of humankind has been made because we were doing what you're now having to teach students to do? So when did that switch? When did we start needing to introduce this back into our human selves?
Lisa Kay Solomon:
Gosh, it's so interesting, Dani, I agree with you… I feel like this is a terrible metaphor, but I sometimes think about the movie Soylent Green, ’It's about people—go back to the people!’ It was terrible, because they were eating people, but it is why I think I'm so passionate about design, because I think design is fundamentally human it’s a human scale, requires real nuance; it requires all the skills that I know you've spent a lot of time researching around what makes learning human, and I don't have a great definitive answer to you. But my hunch tells me is that it started probably a hundred years ago when we moved to a more industrial model of education, of kind of moving towards valuing efficiency, over exploration—the move towards multiple choice tests and personality tests and intelligence tests, and those kinds of things, and then we created a whole systems around it that are really, really hard to dismantle.
I mentioned earlier, I'm a parent of teenagers. I mean, I cheered for joy when all the standardized tests for college entry were canceled, initially, because I felt like, wow, this frees up 100 hours of studying for a stupid test. Forgive me if any of your listeners are working at the College Board, but it's like, we know, we know that these are not indicators of future success, and yet we rely so much on these numbers, right, that were gamified because we've created a whole industry around it. I actually posted either like a blog post or something about it early in April, and I was like, what can these young people do with these hours back? Imagine, maybe they give back to their community, maybe they take some creative risks; maybe they become social entrepreneurs or find civic agency and engagement?

And sure enough, the industry found a way to keep crawling back and make it even more terrible for these young people to go through. And I just think that is soul-crushing, and not a long-term resilient activity for them to be doing. So Dani, I agree with you. I mean, there was just, again, why it's so exciting to see some of these movements in K-12 project-based learning Reggio Emilia, even… I remember like this like 10 years ago and Google was really, maybe 15 years ago, and there was this like 60 minutes special with Sergei and Larry and they're like, what's your secret, and they're like, well, we were both in Montessori school, and everyone was, yay, Montessori!

I think that in part the education system values something different. And then, in the last 15 years, and I'm a little biased being in Silicon Valley, but we started to have a very techno-centric view—that technology was going to create abundance. And we're just at the beginning of really unpacking, like, what are the dangers of that perspective? How do we really challenge it? Who's making the technology, what are the biases that go into it?
Chris, you had asked a question that I'm realizing I never came back to around what’s the future of design? I think the future of design is design justice—designing for equity and really using those same design skills that we use to create great products to actually say, how do we use that to dismantle some of these systems and to rethink?

At the d.school, we're doing a huge push around using design abilities to make emerging tech more accessible through analog modalities like AI cards so we can teach fundamental algorithms to six year olds so that they don't just have technology happened to them, but they have the wherewithal to say, Hey, is this a classification algorithm? Is this a clustering algorithm? How would I know, where do they get the data? How can I challenge that? And to really think of those as literacies that we need to take seriously.
Chris Pirie:
Ethics as well. Ethics for engineers.

Dani Johnson:
I think it's interesting that you're going back to K through 12; I think it's obviously the right move. I mean, we've been talking to CLOs and CHROs for years and years; I think they face different pressures as well, like we talked about the system being in place for a hundred years and the metrics that they're measured against and the system built around meeting those metrics, and having to teach skills in a certain way so that things are most efficient; it seems like such a big problem.

Are you optimistic that we'll ever unpack some of these systems, and make it a better place?

Lisa Kay Solomon:
I think it's going to be a battle; I have to remain optimistic, or else I've got to resign tomorrow. I mean, I am advocating more and more of my time to doing this and we have to work with you really future-forward educators and administrators willing to do it because, again, it's a little bit of a chicken and egg question going back to station's point earlier about like, how are we measuring these things? We don't yet have the measurements, so you need some role to be able to say, no, what? We know that we are building, courageous, resilient young leaders. We know that we are, and so it is going to be important that we allocate time towards that, and that may not be measurable yet. So it takes some courageous schools and some creative educators to say, look, this candidate or the profile of our students are not going to look like the students that you're used to getting: we think they're better.

And so like, we're going to need some big player in the system—to be able to take a public stand on that. And I do think that we have a slight opening here; never let a good crisis go to waste. So I think that UC systems, for example, stopped taking SATs altogether this year. So the question will be like, is this a blip? Or are they like, we can't wait once the vaccines let's get those testing machines up and running again, or are they going to use this time to say, how else can we better understand which students do well and why, what are their qualitative characteristics? And then to create a system around it where they're connecting, like what happens next with these students, right, because of these qualities and then downward to say, Hey, look, High Schools: this is the stuff we're looking for.

For years, we've just been in this default mode of, well, let's just take what's available, SAT scores, GPA, but because this is such a strange year, as so many of the status quo systems were disrupted. We have an opportunity to reimagine, but we have to put a stake in the ground. One of the things that we're doing around our K-12 futures initiative is, we're trying to, ahead of time, articulate as if they were the World Economic Forum Skills of the Future—like we’re trying to make some of those connections from the beginning to say, look, this isn't happening as a one-off, this isn't a like little niche program like Reggio Emilia and preschools and child-centric—no, this is actually serving you, big corporation! So I think there's an opportunity to connect some dots.

Stacia Garr:
I think one thing that sort of came to mind as you were talking about that is our view of what data is. We think of it in terms of numbers; in the last couple of years, and especially within the last 10 months, we've seen reputation becomes so much more important. And I use the term reputation in how do you quantify a person without quantifying the person? So things like portfolios have become much more important word of mouth, and rating how well you like to work with somebody has become much more important.

The rating systems I think have started to change. Usually when we talk to organizations, it's all about those quantifiable skills, doing things in a certain way, the most efficient way, but we're starting to see some of those things creep in. And so it gives me hope that we can figure that out as well. I think tech will play a part in helping to digest some of that and help us make better decisions.
Lisa Kay Solomon:
Well, that’s why the work you're doing is so important, right? Because you're putting the research behind it. And I love the work, for example, you've been doing or exploring the role of tech to really promote diversity within organizations. It's not the lip service, not just like changing the diversity statement, but really challenging in productive ways.

I believe that people are not changing because they don't want to, they just don't know how—I really approach this from a much more empathetic standpoint and to say like, well, we're going to have to learn together, and we may not do it right away. I mean, that's the other thing we have to suspend our desire to solve it and fix it, right? These are problems. And so like a big part of my work is finding those bright spots and really unpacking them to say like, how is this not an anomaly, how can we learn from this? Like what, what else is there?

But it’s also humbling work. And Dani, just to give you like another example over the summer, we did a lot of scenario planning with schools, K-12 schools, getting back in the Fall. And at the time, if you remember, way back in the summer, we were kind of optimistic that we could go back in Fall; I mean, yes, there was the looming threat of a second/third wave, but it looked like things were subsiding. And so it's like, do we go back in person? Do we go hybrid? And so they were looking at different possibilities, and we asked them to take a design lens and say what do you know to be true among everything? Even though we can't predict the future, from a human perspective, from the stakeholder group that you are serving at your core, which is students, what do we know to be universally true?

What we knew to be universally true is that these students need more social-emotional support than ever before; whatever their conditions were, they’ve been isolated, they’ve been cut off from human connection; non-negotiable, and now that we know the teachers need that too.

Okay, great, so we have that fundamental truth going in. Okay, what are we going to do for the schedule? In my mind, it was like a no-brainer—take 20% off the content and fill it with community connection, whatever, it was so obvious to me, 20%, 40% whatever, it’s so clear what the need is. And yet schools could barely budge. It was, well, if we just shift this five minutes, we could get another lab in there, we can… and I'm like, step away from the standards. Who is stopping you?

And this gets back to a fundamental lesson. My very, very first job out of college was working on a political campaign, where I was trying to raise money in order to get Harris Wofford re-elected, who was the Senator from Pennsylvania, started the Peace Corps, early Civil Rights Act. It was a very expensive race at the time; I was 21 years old, and they're like, you have to raise $7 million. Okay! So now that's like the equivalent of $50 million something, and I was like, no problem, 21 years old, government major, I’m a newbie but they'll teach me how to do it. They'll teach me how to raise $7 million, right? And what I learned like week one, there was no ‘they’—I had to figure it out. And of course it was clear, like don't break this rule, there were laws even then, so don't do this, but everything else you can do. So it was a really early lesson in navigating, like how to get towards angles, but how to learn, how to be scrappy and figuring it out. And I think there's a lot of that going on—that just people, like I said, going back to the same mantra, you leaders cannot be expected to be masters at things they've never had a chance to practice. And definitely that's where school leaders are; and definitely, I think that's where a lot of organization leaders are.
Dani Johnson:
Let me ask you one final question. I feel like I've been hugging the conversation a little bit, but kind of tying it back and taking that last statement and tying it back to skills: if you had one piece of advice to give leaders that are struggling through this skills question, what would that advice be?
Lisa Kay Solomon:
I would say design backwards. Design backwards to say, when you think about your teammates, your colleagues, people working at your organization, and you think about what would allow them to do their jobs to their best ability and to identify them—it's not the same job, lots of different nuances, what does that look like? And what is the best way that they may be able to learn those skills in order to not just do their jobs, but to feel that sense of purpose, to feel like they are connected to something bigger than themselves, because we know that that will keep them motivated and keep them excited and engaged, which is important, and to allow them at least for a little bit, I know it's uncomfortable for a lot of people cause they there's a lot of investment, a lot of sunk costs and systems that everyone knows that don't work, but we use them anyway.
Park that aside, and do some dream-storming. If you could say, what would it look like for this to really be a learning organisation and for people to design backwards, to say that they are able to learn what they need to while doing their work, what would allow that to happen? And then to do the analysis to say, well, where are we right now? Where do we need to be? What should we stop investing in? Even though we might've spent a few million dollars, our context has shifted, we know new things now that we didn't know. And if the investment we made is not going to get us to where we need to be, let's make the hard decision and say, let's not keep investing.

Stacia Garr:
I know we are close to the end, but I want to come back to something you said, Lisa. In the context of K through 12 education and how we can make this stick, you said we need to have a few courageous partners. You referenced the UC system specifically regarding SAT scores; I think that applies to the corporate world as well—that we need a few courageous organizations, right?

And so one of the questions I've been thinking about as you've been talking is how do we do that? How do we scale this? Like the d.school, as wonderful as it is, doesn't exist outside of our little bubble here. How do we find those courageous corporations? And how do we scale some of the magic of what you're doing around design to think about the skills and really the workforce of the future that we're trying to design?

So that's kind of my question about advice. How do we scale this?

Lisa Kay Solomon:
It's a great question. So excited for your next guest to answer it.

Yes, we are lucky at the d.school. We're small, and in fact I really want to get props to a couple of my colleagues that run something at the d.school called the Uuniversity Innovation Fellows Program. And they started this many years ago, I don't exactly know, over five years ago to, in some ways address this exact problem, how do we help scale design practices and social impact on college campuses that don't have the luxury of having their own d.school?

And so they created this amazing fellowship program where students apply from universities all around the world with faculty sponsorship. The idea is that they spend time at the d.school—they used to do it in person, but they're now finding ways to design it remotely—and they come and they get some exposure to the work that we do and the practices and the ways of thinking and the mindsets, and then they go back to their university campuses and they apply it towards a social innovation challenge there, or a leadership challenge or a student challenge, so steeped in real-world humans that are trying to create new value in their local places of their campuses.

And the impact has been just extraordinary, and I think that they have researched it and they've written a book about it. So I love that model, because we're scaling communities of practice, both in a kind of thoughtful, high-touch way, though I don't think they were ever an algorithmic substitute for observation and empathy, and thank God, right? Because there's always a need for these kinds of human skills; you need to have a high touch and the d.school is not the only one doing it. I think that, again, we can, we can look to a lot of different industries that know how to do that well, particularly in the care-taking space and even in the, in the teaching space. And then we can sort of allow for networks to share and spread that with their local communities in that way.

So I think that is certainly a way to continue to grow. Now, listen, it's not the exponential scale that we're used to doing when we ship software, but humans are not software, right? And I think this is one of the biggest tensions that I think all human capacity supporters, learners, people analytics need to contend with—that the learning that we're talking about, the learning of mindsets and the learning of these very human practices can be ignited in a short timeframe, you can get exposed to it. You can have the life, but they develop over a long timeframe, right?

So I always say like learning sits within many tensions right now. Learning is fast, right: we can Google something, we get the answer bubble, but learning this kind of learning is slow; we don't become resilient in an hour. We become resilient because we intentionally practice resilient in different forms. And, and so I think we just need to honor some of the constraints of that if we really want to build these skills for a lifetime, we have to honor that scaling bit. They take a little bit longer, but doesn't mean it's not possible.
Stacia Garr:
Wonderful. Lisa, thank you. This has been as engaging as we hoped even more so. And I think your thoughts on how we take these somewhat seemingly nebulous concepts and make them concrete has been incredibly valuable. So, thank you!

Lisa Kay Solomon:
Thank you. So fun. I mean, yeah, lots of learning ahead.

Chris Pirie:
So much food for thought. Thank you—thanks, Lisa.

Chris Pirie:
We are very grateful to Workday for their exclusive sponsorship of this first season of the red thread research podcast today, the world is changing faster than ever, and you can meet those changing needs with Workday. It's one agile system that enables you to grow and re-skill your workforce. Workday is a financial HR and planning system for a changing world. Workday will also host an exclusive live webinar towards the end of the season where you can meet the team Dani, Stacia and myself, and join in a conversation about the future of skills and skills management. You can find out more information, and access exclusive content, at www.workday.com/skills.


Q&A Call: Diversity, Equity, Inclusion & Belonging Technology

Posted on Sunday, March 7th, 2021 at 4:04 PM    

Q&A Call Video

TRANSCRIPT

Introduction

Stacia Garr:
All right. So we're going to go ahead and get started. We did have a smaller acceptance for today. So maybe just be us, but that's great. So really for the sake of the recording, cause I know most of you here I'm Stacia Garr, I'm co-founder of RedThread Research were a human capital research advisory membership, and we focus on a range of things, including most relevant for today, diversity, equity, inclusion, belonging, and HR technology. So what we're going to do today is to just give a few of the findings from the research, and then I'm going to let Priyanka do quite a bit of that. And then we're going to answer either the questions that you have here, or we also have a few questions that were submitted in advance. For folks who are maybe new to this conversation, this is a conversation. It is very informal. And the idea is really just to give a chance to to get your questions answered or to have a good discussion about this topic of DEIB technology. Okay. Priyanka, do you want to move on?

Defining DEIB

Priyanka:
Well, okay then I'll move ahead with just setting the stage up. So what I want you to do very quickly was just share a few definitions of how we define our concepts, these concepts of diversity, equity, inclusion, and belonging. And I'll just give everybody about 20 seconds to read them because they're slightly longer for me to read them on for everybody. So if you want to just stick a second and then we'll move ahead with this.

DEIB became a bigger priority in 2020

Priyanka Mehrotra:
And moving on. So just setting the stage of why you're talking about DEIB this year, of course we know DEIB became a very crucial topic in 2020 for various reasons. COVID-19, BLM movement, social justice movements, natural disasters, everything just kind of made the DEIB so crucial in 2020, and we have this data here from Glassdoor, which showed us that there's been such an immense rise in DEIB job openings in summer 2020 and 250%. That's crazy. And we can see the lines moving right after social justice movement gained momentum in the summer of 2020. And as we can see, like in December 2020, it's just completely shot up higher than it had ever been before. So when you think about the role of DEIB tech, there are a few things why we think it's so crucial and what is it that it can actually do.

The role and types of DEIB Tech

Priyanka Mehrotra:
So a few things that we wanted to highlight, what is it that it can do for us? And it can uncover bias in policies, practices, and programs. It can help us identify gaps between goals and actions. It can make recommendations on what are the steps that leaders and organizations should do next, and it can analyze data and information for greater insights. So keeping these things in mind and looking at the technology that vendors are offering in this market, there were a few things that we noticed about the types of tech that we typically tend to see in the market. We decided we divided them into three types that we majorly see. We have the DEIB focused vendors where their primary business is focusing on DEIB. That's how they go to market. Then we see the DEIB feature venders their primary business might not be DEIB.

DEIB Tech market in 2021

Priyanka Mehrotra:
They might be going to market with something else, but they do have features and additional capabilities that directly address DEIB. And then we have the DEIB friendly vendors who maybe going through market for totally different reasons, such as the recruiting software, but they, for example, they might have artificial intelligence that can be used for DEIB purposes as well. So looking at the DEIB market in 2020, 2021, what are the major trends that we saw during our study, one we saw an overall growth in the market. We saw a major increase in HR tech vendors in general offering DEIB features that part of the solution. So the DEIB feature vendors that I just mentioned before. We saw a major increase in the number of vendors who are offering these capabilities as opposed to DEIB friendly or DEIB focused vendors.

Priyanka Mehrotra:
We saw greater focus on inclusion and the impact of AI on mitigating bias. So we've traditionally focused on diversity for so long, but inclusion really came into being in 2020 and 2021. Last, we saw evolution of emphasis from gender to race and ethnicity. So during hashtag me too movement, that was a lot of focus on gender. In 2020 we saw that shift towards race and ethnicity really come into its own. And people analytics for DEIB has arrived that's what we saw in a big way in our findings. And so I'm just going to touch on all these points at a very high level.

Stacia Garr:
Sorry. Do we want to ask if anybody has a high level question on any of those five before we dive in?

Priyanka Mehrotra:
Yes. Thank you Staica.

Speaker 1:
Not for me. Very straightforward.

A more steady evolution

Speaker 2:
Question Priyanka. So you say there was a shift from gender to ethnicity and race. You refer to the, me too, as a, as a, let's say a movement or a trend. We have the Black Lives Matter. Is, is this like really sensitive to societal evolutions? Is that what you see and might change again? I mean next year, if another topic comes on the political agenda or is it a more steady evolution?

Priyanka Mehrotra:
I think I would say it's been a more steady evolution. We definitely continue seeing gender as a very important part of what DEIB tech vendors are providing as part of their offerings. But we also started seeing some Venders include race and ethnicity as part of, for example, the service that they're providing for that customer. So race becomes a part of it and intersectionality became quite important and became quite common. We started to see more and more vendors offering that in the way that the customers can slice the data and see how they can create groups. So for example, I know Visier offers a cohort analysis in which you can create any type of groups, right. And you can create groups that have different attributes and you can compare them. So, so we started seeing more and more vendors really bringing those capabilities into their solutions. Stacia, did you want to add anything?

Stacia Garr:
Yeah, so I think I mean gender has been a common focus largely because it's something that is you can focus on globally. There aren't as many differences in terms of what you can study or look at as race. I would say though that this, the movements of this summer, and I wouldn't call them political movements. I mean, I think they're very much social movements, at least in the United States. They were response to what was happening. That doesn't mean that there wasn't already, in there certainly is a deep problem that was existing. But I think, but it was a reaction. I will say though, and I've been kind of contemplating this and I don't have any data to prove it, but I, wonder if there was a greater willingness to focus on race, which has been a very difficult topic, certainly in the United States, a greater willingness to focus on it because it was immediately following the pandemic where we had kind of in, in some ways, softened ourselves up to say, we don't have all the answers and our executives, our leaders were saying we don't have all the answers.

Stacia Garr:
And they'd kind of gotten into a habit of, of saying that for three months. And then we have these massive protests in, in this movement. And so I think that there was just a greater willingness than we've ever seen for people to say, Hey, you know, maybe what we thought was happening, wasn't happening, maybe what we thought, you know, that we were more inclusive and yet it seems like maybe we weren't. And so I think there was that greater openness, but I think, you know, your, your question Speaker 2 kind of says, okay, well you, if we focus on race and ethnicity here in 2020 and 2021 and maybe 2022, is there going to be something else in 2023? I mean, I think potentially, but I think that that opening of the aperture to focus on more diverse groups and folks who haven't had that spotlight, if you will, on their experience is probably a good thing. I think we're going to see in general, more of that opening of the aperture.

Regulation

Speaker 1:
And actually on that topic. Can I ask a quick question in terms of the role that you see regulation playing in this, obviously in the UK with gender pay gap reporting, obviously, you know, drives a requirement and adoption and awareness in the market. We're starting to see, you know, the emergence of regulation taking place in some markets, but specifically in the US do you guys have a particular view on the likelihood of the emergence and proliferation of regulation?

Stacia Garr:
I would say don't have a particular point of view. I may think that we're, we have seen regulation in general it has, we have seen movement. So I think that, you know, that there's one aspect of it that can certainly be positive. Obviously though, you know, regulation can be a very heavy instrument to use for some of this. So I don't know that I have a particularly strong perspective. But I do think that the, the opposite in the regulation or, or, you know, fear of legal repercussions has had a chilling effect for decades on this space. And so I think that there's a way to think about that, that kind of cuts that way, too, in terms of, you know, how could we actually be encouraging these behaviors in a way that isn't, what's the carrot in this, as opposed to just the stick. But all that said, I think that a lot of this is just, is being driven by employees and, and by customer demand, you know, you look at Edelman Trust Barometer, and what they say in terms of what they expect of leaders to do. And, you know, they say, I think it's 67% of America, or maybe I think actually it's 72% of Americans expect their CEOs to take action on societal issues, particularly related to diversity. So I think that that represents just a bigger shift in, in the society.

Speaker 1:
Yeah. And actually you touched upon something which is going to be a follow-up question, which is really about the complexities of the US legal system, about a liability, once you identify a problem, and that is a hurdle or an obstacle to organizations wanting to better understand where they may have bias, let's describe it as that and the risk that, that creates legally around exposure and liability. I didn't know if you guys have a view on that, is that, that as a, stifling factor and adoption.

Stacia Garr:
Yeah, we do. And I'm going to let Speaker 3 go though, because I know he also a strong perspective here

Speaker 3:
I have a perspective, which is sort of changing the piece, which is around what you're suggesting Speaker 1, which is the SEC disclosure regulation change. The SEC disclosure regulation change means that a investor could sue a company if there is any material loss due to some kind of harassment social injustice element coming out. So, you know, we find out that X, Y, Z company has been underrepresenting or underpaying or in any way, shape or form disadvantages, a group their share price goes down. If an investor holds that and that, that hasn't been disclosed, that hasn't been kind of presented, then they can potentially say, you should have known this was a material problem. You didn't, you didn't disclose it. I'm going to sue you for nondisclosure. It hasn't happened yet.

Speaker 1:
It's almost like double stick. Then there's a stick waiting for you. If you identify a problem, there's a stick waiting for your, you died.

Speaker 3:
Yes. Yeah. And people are working at which side of that. They want to be on. It's a good thing.

Speaker 1:
The biggest stick. Okay. Thank you, Speaker 3. I appreciate it.

Stacia Garr:
Yeah. And then I think the other component of this is folks are weighing the reputational risk with the legal risk. So kind of beyond the risks that Speaker 4 was talking about, but, you know, there's so many organizations who have just been on the wrong side of it because consumers are now taking action. You know, we're, we're seeing broader social action against organizations who are not responding to this. So I, you know, I've been, I feel like I've been saying this for a few years, but I feel like there's almost a grace period right now in the eyes of the consumer where it's like, okay, you know, tech's probably not going to have a great balance of men and women. Right. Okay. Like, let's acknowledge that, but let's do something about it. And I mean, my guess is that if in five years, if we haven't done something about it, consumers will hold companies to much greater account. Whereas right now it's kind of an acknowledged reality that I think that maybe the consumer will be, or customer will be a little bit less likely to hold people account for it, if there's action.

Speaker 1:
Okay. Thank you.

Stacia Garr:
All right. Priyanka you want to keep going?

A growing market

Priyanka Mehrotra:
Yeah. Okay. So real quick, we can touch upon all these key findings that we have here? So a growing market, we saw the overall market size grow to over 300 million since 2019, the total number of vendors went up 296 from 106 that we had identified in 2019. Similarly, the compound growth rate grew by almost 60% since 2019. So a significant growth definitely more solutions with DEIB features.

Priyanka Mehrotra:
So like I mentioned, we saw more and more technology, HR tech vendors who had not traditionally been in the space or had been going to market with a different value proposition, adding DEIB features or capabilities to them. So we saw an increase of 10% of DEIB features, right? As DEIB friendly venders, we saw a decrease of almost 9% and similarly DEIB focused vendors, we saw barely a growth of 1%. So definitely there's, there's a shift in mindset of a lot of vendors who traditionally have not had not been thinking about DEIB in a very specific manner, but adding now DEIB specific feature capabilities and going to customers to allow them to meet these needs and challenges.

Priyanka Mehrotra:
So another key finding of course, was the growth the shift in focus towards inclusion. So in 2019, we know intrusion was still a priority for leaders, but very few were actually measuring it. And now as a researcher, I, when I looked back at the Sylvia, I wish that we had asked people how they were actually measuring inclusion, because I'm really curious to find that out, but it's still great to know that it used, the inclusion is the top measure of success. When we asked vendors how customers measure their success from, from using the solution they said that the increase in inclusion is the top measure. And this has gone from being fourth in rank in 2019. So that's, that's a significant shift that you're seeing.

People Analytics for DEIB has arrived

Priyanka Mehrotra:
The next key finding was of course, my favorite one, which is people analytics for DEIB has arrived. You know, we've been talking about analytics for DEIB for such a long time, and it was great to see an increase of almost 20% which as a, as a primary challenge in vendor, among vendors, who we're looking to solve DEIB related challenges to analytics for their customers. Again, I think this is a very significant finding. We saw a number of analytics, people, analytics vendors who have added DEIB features and capabilities. It goes back to our point of seeing a rise in the DEIB feature venders. So really coming into this field of providing analytics and using that for, for DEIB challenges. So with that, we've covered the key findings and we'll move on to the questions. Stacia, Ready?

Stacia Garr:
Yeah, let's do it.

What should users consider before buying new DEIB Tech?

Priyanka Mehrotra:
All right. So the first question we received was what should users consider before buying new DEIB tech?

Stacia Garr:
I think it's like any other tech, right? So, what is your overall goal that you're trying to achieve? What's your overall strategy, that you're working towards and, where does the technology potentially fit within it and how does it reinforce and enable other practices? So, you know, I think that is, that is always question number one. Question number two is around, I think the level of expertise of the vendor instead of supporting this type of work. So there are some vendors who've been focused on DEIB for a long time and can help guide folks through some of the legal intricacies. Like we just discussed in some other aspects. There's some who are relatively new to this and, and, you know, innovation is always welcome. But, but that may be what you're getting more than kind of the expertise.

Stacia Garr:
And so we think there needs to be a match between what the organization needs and the support it needs and what the vendor is able to provide. And then I think, you know, third is always kind of where what's the match between the vendor themselves and in the organization. He knows some organizations are smaller and, and thus, you know, maybe more nimble, other organizations are larger and perhaps it better able to scale. So again, what are your organization's needs? And what's the ability to absorb that type of culture and, really status of the vendor. So those would be my top three.

Benefits & risk of DEIB Tech

Priyanka Mehrotra:
Yeah. And I would add to it. So a few things that we had highlighted in our report is as with any technology, you really have to understand what are some of the benefits of using it, but also some at the same time, what are the risks that come with it? And of course DEIB technology being, being in the space that it plays, and it's really, really important that users before they adopt it, understand some of the benefits of doing that. So just at a very high level, just going through some of the benefits that we see of using DEIB technologies, of course, providing equal opportunities for everybody raising awareness and real time, enabling individual actions, as well as on a broader level, providing insights in critical decision-making moments, creating more consistent processes, measuring and monitoring impacts of efforts to analytics, of course, and signaling importance as well as building trust and confidence.

Priyanka:
So those are things, of course they're not exhaustive, but some of the really important benefits that somebody can reap out of DEIB technology provided it's done correctly and applied in a thoughtful manner. And of course, these come with their own sets of risks, such as legal and reputational risks, like Stacia talked about being seen bias and data. And now of course, people who create those technologies, the biases can creep in from that as well. They maybe don't end up being excused themselves. It may also lead to big brother fears, unintended consequences may in fact, end up damaging employee trust and creating a disconnect between people and processes. And again, similar to benefits, of course, that are additional risks, then I'm sure we haven't listed here, but just some key things to keep in mind before looking at purchasing such tech.

Priyanka Mehrotra:
I think Stacia already covered this, like really being thoughtful about where you are in your journey. What is your level of understanding of the DEIB issues? What are the specific goals that you're wanting to solve for and how much support will you need from the vendors similar to what Stacia said, whether it's big enough to support your organization needs, do you have international headquarters? Will they be able to provide you support at all hours of the day? So all those things, I just think that to keep in mind when going to the market, and of course, another thing that we really want to highlight is auditing in-house techs or a lot of companies, or a lot of vendors may already have DEIB tech features and capabilities like we mentioned, and your customers may be using them for something totally different. So for example, Workday and SAP, need to be that we piloted all have recently introduced really crucial DEIB features that people, the customers who are already leveraging these technologies for some other purpose, might be able to use for DEIB as well.

Speaker 1:
Well, ask a related question. And it's more about, you know, corporate adoption and who's championing adoption of those technologies within the organizations. So, you know, if you think about the range of DEIB technologies, whether it's a pay equity solution or whether it's a solution that deals with using AI to remove unconscious bias from, you know, the, the talent acquisition process, you know, it can obviously serve specific functions within HR broadly, right? So, you know, you could be serving a solution that takes out bias in the recruitment process to someone in the talent team, you know, pay equity could go to a reward specialist then obviously separately, you've got DNI specialists now come into organizations where we look, when we look at where organizations have truly champion and adopted these technologies, what's that pattern look like? Is it very fragmented based upon, you know, kind of specific functional focus or is it, HR departments taking a more broad view of how these technologies knit together to solve a problem? Does anyone have a view on that?

Stacia Garr:
I'll jump in and then I'd love to hear other folks' perspective as well, but in general, right now, it's still pretty highly fragmented. I would say generally speaking, the exception to that is when you have a CEO who, or, you know, C suite executive, who's very strongly driving this. And then in that instance, you may have, you know a DEIB council or some sort of centralized group, you know, basically often a kind of a tiger team that's been tasked with figuring out how do we solve this problem and what are the, all the different ways that we could approach it. So when that happens and that's when we'll just tend to see a centralized approach, but otherwise right now it does often tend to be, to be centralized. Priyanka and I actually next week are kicking off a report on DEIB and analytics.

Stacia Garr:
And, and one of our key questions there is kind of what does that partnership look like and who should be driving? What part of that focus, because, you know, there certainly is an onus on whoever's leading DEIB, but a lot of times they're just not in the, in the depth, in the weeds enough to kind of know where this tech sits, what it could do and how it could tie back. So I think that there really is a good question around ownership that that needs to be solved, but to your, to your direct questions cut. I think that it, it depends, but is mostly fragmented.

Speaker 1:
Do you know, what's really interesting about that. Of course, it's really about where the money is in the organization. So I asked the question because, you know, we ask ours have you know, an excellent DNI specialist. That's really helping drive awareness and a change in our practices across the organization. But, you know, she doesn't have much budget, right. Yet we've got large talent teams that do hold large budgets because they're out there working with recruiters. And, you know, so it's also about finding where the dollars are to support these initiatives within organizations. And I think that is also fragmented as well, right?

Stacia Garr:
Yeah, it is. Now I think the thing that's interesting is I think that there can be almost a immediate reaction to say, well, we should have kind of some centralized group that's driving this because that would create greater order, et cetera. But, you know, diversity is one of those things where, you know, if not everyone in the organization is participating where everyone is a part of the solution, you know, then, then it's not going to work. So that centralized model that we use in so many other things, I think doesn't necessarily work. So I think that part of the question is, is how do we heighten the overall awareness? So that the talent leaders who do own that budget are saying, Hey, wait, we have a role here. What could we be doing? And taking a lead, what do others think?

Speaker 2:
Yeah. Well, what I see here in the Benelux is that if it's centralized and it's because there's a clear nonfinancial risks for the company. So if the CEO or there's executive takes ownership or wants to be a sponsor, then it's because there's a real threat because there's value in it. And it's like Priyanka said, you know, in five years customers will hold companies accountable for that. And I see in some industries, companies moving faster, banks, I serve a lot of banks. They for instance, are very much aware of their nonfinancial risks and their reputation also due to the financial crisis, etc. So they're sort of heading that movement now quite unexpectedly, I would say. But it really depends on, I think the value they can see from it or the risks they see from not doing it.

Speaker 2:
And then whenever it becomes relevant, then all of a sudden it does get on the agenda of everyone. If I talk with, with companies about, you know, HR and a big serving, all of a sudden in every company, we get the DNI responsible on the table. All of a sudden this is a person with teeth, whereas before it was a person with posters, let's say, now it's become a person on your team. It's like the data protection officer, the DNI person. Yeah. It gets more and more powered.

Stacia Garr:
Think I might borrow that from posters to teeth.

Speaker 4:
I love that.

Stacia Garr:
Speaker 4, you're going to add something.

Speaker 4:
I love Speaker 1's questions. I think it's quite, it's quite fascinating and sharing something that we were seeing we're in the analytics space. So there's some element of centralized understanding of opportunities, scale challenge. So we have a lot of people, people like leaders working with the DEI leaders that kind of go, well, where are we? What do we need to do? What are the opportunities? And then one of the big things they're looking at is like, what can the CEO say as a forward looking statement, as somewhere we're going to try and hit. So you need analytics, horsepower, you need DEI sponsorship, you need the executive, but to your point, Speaker 1, that the DEI lead doesn't have the money to go and buy a technology that will help tell an acquisition.

Speaker 4:
They kind of need brought into the conversation to say, you know, our funnel is actually our biggest problem, or our attention is our biggest problem. Like the, the analytics is kind of at the hub of that, which problem piece of the problem space to be solved first, but DNI doesn't have the budget without analytics. People are often, you know, fixing different pieces of the bus with different technologies because they're trying to help.

Speaker 1:
And you know what, that's a really interesting point. Now, I, you know, this, this is almost like a, you know, you know, when you get told in school, there's no dumb question, but you know, that there really is. I worry that this is one of those. And I just, whenever I think about this topic, I think about cause and effect, and I think, you know, from what I've encountered, there's lots of solutions that are looking at analyzing the effect, but it's really about how do you then tackle the cause. And actually when you start,

Speaker 1:
And obviously that's a very complex answer because there's, it's multi-dimensional, but, and so of course you, there isn't one solution that helps you to drive that change. It's about culture is about process, about lots of different things. So, you know, the reality is you will probably string together a number of solutions that will help you tackle cores. But again, how do you knit those together? How do you measure the extent of that response as being effective or not effective? And so I just, you know, to me that that's an open area or an open question of how do we tie cause and effect together and how do we help organizations understand that better?

Stacia Garr:
Yeah. I don't think that's a silly question at all. I think, you know that's kinda the question at the, at the heart of all of this, you know when, before anyone implements one of these solutions, you know, one of the things that I talked to them about is, you know, what's success look like? You know, what's the needle you're trying to move. So is it, is it different behaviors? Is it actually representation? I actually tried to discourage the latter because it just takes so long to measure. You know, ultimately of course, that's, that's what most are focused on and hoping for, but but being, you know, clear what, what those measures are, and then you know, to the extent that you can being scientific about it. So, you know, adjusting the job descriptions. Let's say somebody wants to use tech steel or something like that.

Stacia Garr:
You know, do we see any meaningful impact on, on just, you know, the, the number of applicants? Okay, well, let's do it. That's kind of one thing that we, we can measure you know, then interviews, lights, you know, making sure that we have diverse candidates on there as well as diverse interviewers now. Okay. Measuring those behaviors, does that result in any, you know, higher percentage of, of hires, of diverse backgrounds, ect. So I think, you know, being purposeful about the way that you're approaching it, and then being very clear on, on the behavior or the kind of intermediary outcome that you are trying to drive long before you get to representation. I think that can be, can be helpful in understanding that cause and effect much better. But I think, you know, like so many of the things that we do in the analytics space, it's basically a series of ongoing experiments that we're running and trying to see which things are, are impacting what, and then continuing to stick with those things. Once we find some areas of success. But they're great questions, Speaker 1.

Stacia Garr:
Anybody else have questions? I know we've got some other folks on the line who haven't spoken up, want to make sure we give you an opportunity or you can put things in chat too, if you are in a non-talking mood or you know, for whatever reason. All right Priyanka. Why don't we move on? What other questions did we get?

How can analytics be leveraged as part of DEIB Tech?

Priyanka Mehrotra:
Yeah, so I was going to say it almost sounded like a perfect segue to our next question, which is about leveraging analytics as part of DEIB teck and how that can be done.

Stacia Garr:
Oh, well, I feel like I've kind of gave an answer just now. So I'd love to hear, I mean, we've got a couple of folks from analytics vendors on here. So maybe I'd love to hear a little bit of your guys's you know, quick view of how you've seen folks leveraging analytics and most effectively. So Speaker 3, do you want to maybe lead off?

Speaker 3:
I am on mute. My, my little microphone button was not paying attention to me. The thing that we've seen kind of consistently is that that analytics has driven the strategy. Just to share a story of a large food manufacturer you work with. They'd had a diversity program underway on the hiring side of things for a really long time, but their representation wasn't moving. And it was when they engage with the analytics team. They're like, well, that's because we're hiring people and they're leaving as fast. And then they dug underneath the data to find out as a, why are people leaving so fast? I mean, I've had like an, a subsequent question around the tech. I see a lot of focus going into, Oh, diversity is a problem. We just gotta hire differently. It will be fine, which I think is a natural instinctive reaction.

Speaker 3:
I also don't think it works. So I always think of an organization as an ecosystem. One thing that's true about ecosystem, there are new levers, there are shapes and influences. So the analytics helps by understanding if I move this, what else moves? It's not, I'll move this and only this, cause it's not an engine, it's an ecosystem. If I move this, what else moves do I end up with more exits? Do I end up with mobility? And so, you know, I think the analytics helps by really understanding where are the two or three places to Speaker 1's point? Like where do you put the technology and the dollars to actually move the needle? And that's, that's what we're seeing. And again, we've got a number of customer stories that are, they're doing some good stuff on that. That's, that's our perspective.

Stacia Garr:
Thanks Speaker 3. Anyone else have any other any other thoughts they want to share?

Speaker 4:
Hi, this is Speaker 4. Just a quick question, I guess, to the group. I recently read a report that I thought was really interesting. I've had a lot of conversations with clients about diversity equity inclusion, and oftentimes it's focused on hiring, Oh, we just need to hire more people. And that's probably the hardest way to move the needle. And recently saw a report that talks about internal labor market analysis. So to your point, Ian, looking at the impact that you will have from all three things, so hiring promotion and then, you know, retaining folks as well. Just curious if that's been a part of the conversation. So first doing the analysis of are you hemorrhaging people, are you promoting people and what's the effect there, and then also the impact of hiring so that companies are looking at it across the board, as they seek to have a more diversified workforce, how they're actually going to accomplish that. I feel like technology allows, you know, more companies to kind of pinpoint on each one of those things. And trust me, I understand that within my work, that information lives in four to five different systems. And that's usually the problem that none of these systems talk to each other. But just curious to hear from you all, if, if you've seen that come up now more than often than before?

Stacia Garr:
Yeah. I'll take a first whack and then let others jump in. So I think so as Priyanka had mentioned a little bit ago, the top success measure that we're hearing folks hold vendors accountable to now is inclusion. Whereas two years ago it was the hiring to the diversity of the talent pipeline. And I think that that's a, a reflection, two things. So one is to your point, that recognition and Speaker 3's point as well, that you can't only hire your way out of this problem. You have to actually be able to retain people. And, and that means that you need to be focusing on inclusion. The second thing is I think that with everything that happened in 2020, one, we saw a lot of organizations obviously pull back on hiring. And so it wouldn't have made sense for hiring to be in the pipeline to be the metric that folks were focusing on.

Stacia Garr:
And then too, with the social justice movements, I think the awareness that inclusion was not working for everyone in the way that maybe people thought it was a heightened people's awareness that they needed to be focusing on inclusion. So I think that we're seeing that shift. The question is though, and Priyanka also mentioned this, is how do you measure inclusion? You know, you mentioned internal talent markets, is…you know, people's or access to some of those opportunities and their ability to move within an organization, a measure of inclusion, potentially. You know, there is people's perception of their inclusion as measured by and engaged, you know, maybe on an engagement store or dedicated inclusion and belonging study. Yes. You know, so, I think that right now there's this grand exploration of all the different ways we might measure inclusion and think about holding ourselves accountable for it. And there's certainly no one definition of what it is, but there is a heightened awareness over two years ago, for sure that we need to be focused there. How about others?

Speaker 4:
It's a really interesting perspective because I do, I definitely agree, but working with clients, I'm hearing them talk about inclusion from the perspective of what's happening within our organization and less so as they're thinking about talent acquisition. And so trying to understand how we move the needle to get clients, to think about this from a technology standpoint, from an analytics, because I feel like that's the most positive impact that we can have. To say it's not necessarily for them, it still isn't necessarily about inclusion. It's how does the diversity landscape within the organization, how does our diverse workforce mean that we're actually hitting a marker? So for example, let's say that Dell has a 2030 initiative where they want to hire 40%. They want their workforce to be 40% women in senior leadership. That's still the kind of data points that you're seeing out in the sphere.

Speaker 4:
And so while they're having conversations about inclusion from a workforce perspective, there is still this idea of how do we diversify our workforce. And I feel like, yes, it's hiring, but it's also promotion. And it's also, what's the experience that's happening within your organization. So people aren't leaving because what I'm also hearing from a lot of clients is that their diverse workforce is leaving in droves. And as they are going through the talent acquisition process, they're having more diverse candidates decide to not move forward with the process. So in one case, a client said it's now 50% of their diverse candidates that are declining an offer at that stage.

Speaker 4:
I feel like the analytics is a part of it because I feel like there is a piece of not understanding what's happening in your organization. That then feeds the top of the funnel. Because if you understand how things aren't working for your people, then the way that you're talking to new audiences and how you're adjusting the culture of your organization, not just from a diversity perspective, but the entire culture then begins to shift and I'll get off my soap box.

Stacia Garr:
It's great. It's great. Yeah. I mean, I think that for the most progressive organizations from a DEI perspective I think they've figured this out. So in my head I'm thinking of like a General Mills, right? Like General Mills is kind of an, it isn't a non traditionally diverse location. But they've been focused on diversity for years and years and years. And it is part of their conversation when they're having people go through the interview process and then when they're onboarding new candidates, it's just kind of in, in the water, if you will. And so, you know, the folks like, General Mills understand this connection. I think that you're talking about, you know, we actually have to have an inclusive environment and we have to go talk about it to our candidates.

Stacia Garr:
And that has to be part of why they may want to join. I think, you know they are definitely in kind of the top level of maturity when it comes to this. And so I think that we're starting to see an awareness as I said, of, of the importance of inclusion broadly, I think that we're probably talking about the top 20%, 25% who are making that connection between, okay, we actually now have a much more inclusive culture. We at least can talk about inclusion in our culture in a meaningful way and tie that back to talent acquisition. So that would be my observation is, you know, we're still talking about probably 75% of companies who are not doing it, what do others think or have seen.

Speaker 4:
I have a couple of stories from clients are doing exactly what Speaker 4 is talking about. Again, it was driven by the same notion that Dell is putting out a number that, you know, they're making a public statement to Speaker 1's point around what's different now is that people are having to be transparent about their progress and then sort of validated on that progress. So, you know, the driver was, if we're going to put out a number, how do we know we're going to get there? So they looked at the internal path. They recognized that their representation overall was good, but it was not at managing, you know, supervisor managerial director levels. And so the very first decision they took was actually to change the opportunity for progress inside the business, before they look to do anything external, they recognize that if people coming in we're not seeing team lead supervisors that represented them, that was not likely to be a successful strategy. So they've actually chosen to change. And this is, this was three different organizations I talked to, they, they all focused on that internal mobility aspect first because they saw what was going on in their data. So I actually think there's, you know, potentially a very, very interesting study on like, how do you move the needle?

Stacia Garr:
That'll be after DEIB and analytics. Does anybody else have any questions on this one?

Speaker 5:
I do have a question around, have you done any work on sort of mapping the maturity of organizations, so on the client side, in terms of where they are on that journey and does it influence the type of vendors they're choosing, whether it's those that have got kind of completely focused on DEIB or those that have just got their established elsewhere in their organization, but have features and functionality?

Stacia Garr:
Hmm, that's a great question. We have not, when I was at Berson, I ran a big study on DNI maturity when we did a big maturity model. And did all of the things that you're supposed to do in terms of, you know, testing the impact on financial results in the like. What was kind of interesting at that time though, was that actually was the beginning of my interest in DNI tech, because when I asked people what tech they were using, they're like do you mean e-learning, it's like, no, that's not what I'm talking about. But so at that point, we certainly didn't see it. And I haven't run another maturity study to look at this, but I would say that, and this is just completely off the cuff. So excuse me, be the messiness of the thoughts, but I think that when we first see organizations looking into this, it's often a point solution.

Stacia Garr:
So, for instance, Textio is a, is a good example because it's a very clear use case. It's clear who the owner is. It's a, you know, a recruiter, a talent acquisition organization. Okay. We're going to fix our job descriptions. Okay, this is something we can pretty easily get our head around it's well scoped, etc. I would say that organizations who are newer to this space are more likely to buy something like that because it's very clear and the business case is clear. I think that the more sophisticated organizations, they're probably using that, and they're also, you know, looking at the more sophisticated beginning their, their analytics journey. So they may be looking at some of the more sophisticated analytics tools, like, like a Visier. But you know, they may not be doing some of the more sophisticated analytics.

Stacia Garr:
I think that then assuming that they've been able to use that technology to identify where their real challenges are, then we'll start to see kind of a more nuanced and sophisticated buyer of some of the other technologies. So they might be looking at you know, some things like organizational network analysis. So how are, you know, different populations connected within the organization, and how does that reflect inclusion? So you can kind of see how they would build in terms of their understanding and their willingness to go into some of the more nuanced aspects of the tech and what it can do. That's again, just kind of off the cuff of my thinking on what we would see. But I'm certainly curious to hear what others would think.

Priyanka Mehrotra:
I think maybe I can just add something to that point, is that one of the questions that we did ask in our survey of the vendors was, what is your customer organization size. And what we typically have tended to see, I don't have the numbers here, but I can share it with you later, is that more majority of our vendors reported customers who were smaller, had small number of employees. So under a thousand, I wanna say, so it doesn't necessarily reflect the majority, but of course, I think what it does show is maybe that smaller organizations are more open and willing to try these technologies for DEIB purposes than maybe more established and enterprise size organizations. So that might be something helpful.

Stacia Garr:
Yeah. But I think what's interesting about that. Priyanka is, is we saw an increase in what was it, the organizations that were five to 10,000 over a couple of years ago. And so I think that we're seeing an increase, in certainly size and I think that it reflects the maturity of the solutions and probably a maturity of some of these organizations as well.

Speaker 1:
Would you mind if I ask a related question? Obviously sitting here in the UK I have a little bit of a sort of restricted view generally from effort by country, you know, what are the markets that really adopting this? I get a sense. So US are significant adopters, as well as the UK. Are there other hotspots around the globe where certain markets are really gravitating towards deploying these types of technologies?

Stacia Garr:
Yeah. So I definitely say Canada Australia, New Zealand as well I would say Northern Europe. So Speaker 2 was here from, from Benelux. We're seeing, focus there. I'm just trying to think here.

Speaker 1:
That's a fairly typical pattern actually, isn't it. When we think about technology adoption, Scandinavian countries, Benelux countries, UK, US, and Australia is fairly typical. Okay, thank you.

Stacia Garr:
Yeah, I will say though, when we did a DEIB strategy report in one thing I was surprised in that research was the extent to which some Asian countries have been focused here. So you know, that is an area where I think that there is potential to their concerns are different. But there was more traction there than I would've guessed. Just kind of thinking about it without having done the research.

Stacia Garr:
I see, we've got just a couple of couple minutes left. Any other questions on this one? And Priyanka, do we have another question?

Priyanka Mehrotra:
Yeah, actually we did receive an interesting one. This is the final one.

Stacia Garr:

Okay.

Stand alone solution vs add-on to an existing HR Tech platform?

Priyanka Mehrotra:
So is it better to integrate a standalone solution with others, such as learning, ATS, etc. or find an add-on to an existing HR tech platform?

Stacia Garr:
We had the answer to this one. We could just call it a day and be all good.

Priyanka Mehrotra:
My instinct as a researcher is to say it depends.

Stacia Garr:
Yup. I agree. So do you want to give your thoughts Priyanka and then I can add on?

Priyanka Mehrotra:
Yeah, I think like touching on what I had said earlier, you know, you already may have DEIB technology in solutions that you're using for something else. So it very well depends on what your use cases, what are the challenges that you're specifically looking to solve for? And what technologies already exist in your ecosystem. So if you're a Workday user, you already have that in your organization, it probably makes sense to go ahead and use their DEIB features and capabilities similarly with ADP. So I think versus like, if you have something very specific, it was just like, we've been talking more Texio for a bit. If that's something that you need to add to your recruiting efforts, then you need to look at a point solution that meets those very, very specific niche needs that your organization might have. What do you think Stacia?

Stacia Garr:
Yeah, no, I completely agree. I think it just depends on where you are. And the other thing is you also may try something and find that it doesn't work. You know, you may try the, the Workday solution and find that that's not meeting your needs, and then you go and you find something else. So I think it just kinda depends on what those needs are and what you have available and the extent to which it meets,

Speaker 2:
If I may, I don't know how the situation is west, but here it looks, we don't even document more than gender. So I have these organizations now asking whether we can map, you know, all the different dimensions, necessity, sexual orientation, religion, etc., outside of an HCM, also due to GDPR issues. Because in the existing solutions, the best you get is a binary gender indication, even just binary. So there is nothing about the gender spectrum or whatever. So there is clearly a need, but I see organizations really being puzzled with finding solutions on how to satisfy the needs, because they were assuming that they had the data, but actually they don't

Stacia Garr:
Yeah, I think what we tend to see here in the US is, is folks asking for voluntarily, and if it's voluntarily given, then then being able to include it. But to be honest, I think that this is an area I need to understand more for, for GDPR, because I don't actually, I mean, to me, my gut, when I hear about mapping outside of the HRS, it's like, Ooh, I'm not sure, but I think that that is completely rooted in gut. Does anybody else know kind of about the legal implications of that?

Speaker 4:
Wherever you're, if you're holding it, you're holding it. It's like, if you're the owner, you're the owner a hundred GDPR, that's more a case of what's your standing relative to the data. So if, if you can't, you'd have to, yeah. You can't really hand off that to a third party and say like, Oh, we're no longer the owner that third party is acting as an owner for you. You would, you would have to, like, I don't really see loopholes in terms of a business not being designated the owner of that data, if it's about their people. What I have seen some people do is try and do aggregation. So it's not a record on the employee. It's a, it's a extrapolation from the data. So we get a percentage, female, a percentage of race, but I'm not putting female against this specific employee. So I'm not, it's not on the person, therefore you're not got that same level of liability for it. But it's awkward. It's just awkward. And then typically your right Speaker 2, typically in Europe they don't track race and ethnicity for many, many strong reasons, which is different in the US. In the US you have to categorize somebody into five different standardized buckets of, of race for EOC reporting. So there's actually really different reporting frameworks in both places.

Stacia Garr:
Cool. Well, I see we are at time. So I want to just say thank you all for a robust discussion. Really appreciate everybody's participation and thoughts, and obviously, you know, this is area, that we're continuing to research and to work on. And so, you know, if you have other areas of interest or things that you think, Hey, this is something that, that is really I'm hearing a lot from my clients or my customers, or whereas just top of mind for us as an organization we definitely would love to hear about it. So you can drop me an emali at [email protected] or Priyanka, just Priyanka at the same place, or if you can't remember either of those [email protected]. And and we would love to hear from you. So with that gonna say, thank you so much. And until the next time that we all come together, we hope that you do well and stay safe.

 


Turning Purpose and Vision into Value | Is Purpose Working Podcast Episode 10

Posted on Wednesday, March 3rd, 2021 at 3:05 AM    

Listen

Listen to my podcast

Guests

Tal Goldhamer, EY's Chief Learning Officer & Jeff Stier, EY's Lead of Purpose & Realize

DETAILS

In 2013, Big Four consulting firm Ernst & Young, a global leader in assurance, tax, transaction and consulting services, rebranded as ‘EY.’  Part of that rebrand made an explicit Purpose statement front and center: ‘building a better working world.’

This was actually a hugely important internal cultural shift and pivot for the company:

“By everyone knowing our purpose statement, it creates a golden thread—so no matter where you are in the world, what culture you have, whether you’re a new employee or a tenured employee, what service line you’re in and what work you do you come to work to do every day, we are all connected by the fact that we are all building a better working world.”

Join us for a deep-dive into why this global service leader adopted purpose and how it’s helping, as well as the critical role it sees L&D in that pivot, framed as a key role in helping people become performers, colleagues, leaders—and people. Helping us understand are two excellent speakers, Tal Goldhamer, Partner and Chief Learning Officer – Americas, EY, and his colleague Jeff Stier, EY Americas Consulting Purpose & Vision Realized Leader.

  • How EY supports both employees and customers to understand their personal and organizational purpose.
  • How EY individuals have found purpose through internal L&D-led purpose programs
  • An intriguing new concept in our purpose journey—the idea of nested Purpose
  • Why personal purpose, personal vision and organizational purpose are part of what gives daily meaning to the work that you do daily
  • Why developing a platform and program around personal purpose and vision is important to leaders of an organization.

Resources

  • Tal is on LinkedIn here
  • Jeff’s EY contact page is here
  • Find out more about the EY’s ideas about Purpose here
  • The EPIC (Embankment Project for Inclusive Capitalism) report mentioned in the conversation is free to download here
  • RedThread’s on-going Purpose work

Webinar

This season will culminate in a live online gated experience (a webcast) where we'll review and debate what we've learned. Seats are limited. Secure your place today, over at www.novoed.com/purpose.

Partner

We're also thrilled to be partnering with Chris Pirie, CEO of Learning Futures Group and voice of the Learning Is the New Working podcast. Check them both out.

Season Sponsor

Global enterprises rely on its collaborative online learning platform to build high-value capabilities that result in real impact, with its customers working to deliver powerful, engaging learning that activates deep skill development, from leadership to design thinking and digital transformation, as well as driving measurable business outcomes.

TRANSCRIPT

Four key quotes:

“By everyone knowing our purpose statement, it creates a golden thread—so no matter where you are in the world, what culture you have, whether you're a new employee or a tenured employee, what service line you're in and what work you do you come to work to do every day, we are all connected by the fact that we are all building a better working world.”

“Purpose alone is not a magic bullet and it never belongs in a conversation by itself; purpose + vision + long-term value, when you look at that equation, that is the power equation.”

“If you want to be an organization that claims to be purpose- and vision-led, you need to be led by leaders who themselves are purpose- and vision-led, which means developing a platform and program around personal purpose and vision.”

“We view the role of L&D as having a role in helping people become better, right? Better performers, better colleagues, better leaders, better people, and helping people discover and activate their purpose and vision almost immediately makes them better in all of those categories. And of course, many complementary ways outside of L&D to also activate purpose. But you know, your question is about how the role that L&D teams play in bringing purpose and vision, it's helping people become better people.”

Chris Pirie:

You're listening to Learning Is The New Working, a podcast by the Learning Futures Group about the future of Workplace Learning and the people helping define it.

This is an episode in our ’Is Purpose Working?’ season—a collaboration with Dani and Stacia from RedThread Research. This episode is sponsored by NovoEd: global enterprises rely on NovoEd's collaborative, cohort-based learning platform to deliver high-value programs with real business impact. With NovoEd, you deliver powerful and engaging learning that activates deep skill development and drugs and measurable business outcomes.

On March the 11th, at 10:00 am Pacific time, NovoEd is hosting a live webinar where you can join RedThread Research founder Stacia Garr, Dani Johnson and myself to discuss what we've learned in our season exploring the implications for learning and talent management of purpose aligned organizations.

We can't wait to meet you and to get your questions and observations and experiences on the topic of purpose alignment, as well as share our own reflections and research. We're really looking forward to it; to register for your seat, submit questions and access lots of bonus material around all these episodes, including transcripts, please go to www.NovoEd.com/purpose.

“Purpose alone is not a magic bullet, and it never belongs in the conversation by itself. Purpose + vision + long term value—when you look at that equation, that is the power equation. That's the one that if you really want to make a difference in the world for all of your stakeholders, that's the equation that's necessary when you think about high strategy.”

Chris Pirie:
In this episode, Stacia and I interviewed Tal Goldhamer and Jeff Steir. They’re both in the professional services firm, EY. Jeff has led the ‘purpose plus vision’ practice for EY Americas since 2014, where he and his team help organizations and their leaders articulate what they stand for and implement purpose at scale. Tal is the chief learning officer for EY's America's division of over 80,000 individuals across 30 countries.

As you will hear, Jeff and Tal work really closely together in a unique partnership that revolves around the power of purpose. Their work forms a sort of virtuous circle that helps both customers and employees understand their personal and organizational purpose and where the insights gained from the customer-facing work that Jeff does informs employee facing programs that Tal runs and which in turn are made available to those customers to help them define their own and build a better working world.

Tal Goldhamer:
Hi, it's Tal Goldhamer; I’m the chief learning officer at EY for the Americas practice.

Jeff Stier:
And this is Jeff Stier: my job title is the lead for the ‘purpose and realize’ solution within people advisory services at EY.

Chris Pirie:
Well guys, welcome to Learning Is The New Working and thank you so much for your time and sharing your insights with our audience today. Today, I'm joined by Stacia, and we're going to talk to you about purpose driven organizations, and I know we're going to have a really interesting conversation, so welcome to the podcast.

Tal Goldhamer:
Thanks, Chris, and thanks, Stacia. You know, one of the things that I'll share a little bit of why I'm so excited about this; I wake up every day inspired to make things better for others so that they can thrive and in turn, make things better for others. And we've been on a purpose-envisioned journey for a few years, and we've learned a lot and we're excited to share all of what we've learned with your listeners, so thanks for having us.

Chris Pirie:
Could you start by telling us what part of the world you live in and work in and why?

Tal Goldhamer:
Well, because of the pandemic, it's a trickier question, but I was born and raised in New York City, technically work in New York City, although I’m right now physically in Denver, Colorado—I made a pandemic getaway and escaped with my family out here. So it's a two-pronged answer; my heart is in New York City, but my heart is finding a home in Denver, Colorado.

Stacia Garr:
Those mountains will do it to ya!

Tal Goldhamer:
The mountains and the skiing, so yeah.

Jeff Stier:
So I was born in Connecticut, but spent the last 26 years in New York City, raised a family in the city; right now, sheltering in place in the Northern Catskills, in a town that I love to say the name called Cornwallville, lots of farmers. It is 12 miles from a ski mountain, so we get a lot of skiing up here as well. And you asked the question why I never thought I was going to raise a family in New York City—I grew up in the country—but my wife is from Queens, New York and she is an only child and her mother lived in Queens, so she tricked me to moving from Boston to New York city so that we can be close to her mom. And it was a great decision and we've been very happy raising our family there.

Chris Pirie:
Can each of you tell me what your job title is and sort of briefly describe the scope of your responsibilities?

Tal Goldhamer:
So our team works every day to develop programs where people are so inspired by what they're learning and they're experiencing that they feel compelled to pass it on to others. And as the chief learning officer for EY in the Americas, we try to create that world for over 80,000 people in about 30 different countries.

Jeff Stier:
I look over a practice called ‘purpose vision and long-term value realized;’ we help organizations transform around those three foundational elements that I call high strategy. When an organization is looking to create what they stand for, what they believe in, and then use that as filters in decisions for how they run their companies, we help them create high strategies around purpose, vision, and long-term value. We've been doing that for about eight years, both internally with EY and externally with clients.

Stacia Garr:
I love that focus on long-term value. One of the things that we've seen here with the podcast is how a potential impediment to purpose is short-term thinking—you know, not knowing when you're going to get the return on purpose. And so I love that you are combining those two concepts and kind of helping people think about that longer term in what you're ultimately trying to become.

Jeff Stier:
About three years ago, we had an ‘aha’ moment—that purpose was one element of high strategy, but vision looking to the future was another. And of course, when you look to the future, what you want to become, and the impact you want to have on the world, those things require some measurement that so you know, you're progressing on that journey. And so long-term value, purpose envision where the natural mix is in the equation for us.

Chris Pirie:
I think what else is really great about having both of you in this conversation is both the internal perspective and responsibilities that you have, Tal, and the insights that you bring into the dialogue, Jeff. For anybody who's not familiar, and that can't be many people, but it's good to just cover our bases, can one of you introduce the EY business and business model?

Jeff Stier:
About nine years ago, we had a new CEO take office and he looked to the future and realized that the consulting business was something that was going to grow significantly. As part of EY, we had primarily been known as a tax and audit organization, and we were called Ernst & Young at the time, with a tagline of ‘quality in everything we do’—very inward-focused.

And he had the vision to say, what got us here won't get us there. And so as part of our own transformation and the legacy he wanted to leave, we changed our name formally from Ernst & Young to EY, that tagline ‘quality in everything we do’ to a purpose statement of ‘building a better working world,’ and we began to transform ourselves around that high strategy.

As we began doing that, a lot of our clients had interest in purpose as well. The leaders at Davos were starting to talk about that. And so we started getting requests in the strategy practice where I sat at the time saying, can you help us take the lessons you've learned—positive and negative—and transform ourselves?

And so that's the journey we've been on. And, and now that's the business model, at least Tal and I work on together, both through the internal and the external client-facing side.

Chris Pirie:
What's the talent landscape look like at EY?

Tal Goldhamer:
We hire tens of thousands of people each year as both we, as we continue to grow and as we expand our portfolio of services. And when we look at the overall demographic of our people, you look across the 300,000 people we have globally, or the 80,000 people we have in the Americas, it may be surprising to you or maybe not but the average age is in the late twenties—it’s around 28 years old.

And so as an average workforce age, that probably skews a bit younger than many other companies; perhaps it's because the number of people we hired directly off college campuses each year, among other things. And of course we have people that are younger and people that are older than that, so everything we design, everything we do for our people as part of the talent organization is incredibly focused on the diverse workforce, whether it's the age, ethnicity, backgrounds, gender, and so on.

Chris Pirie:
We've alluded to this a little bit, but it'd be good to know where you each fit in the sort of organizational model and how you collaborate and in what context you come together and work together.

Tal Goldhamer:
Our team is part of the EY Americas talent organization. So we have the pleasure of being part of our L&D team or learning team. And so we support all of our professionals, both our internal facing professionals and all of our external facing client-serving professionals.

Jeff Stier:
And I sit within the Americas consulting practice. There are different practices, as you've heard Tal allude to, and in the role that we play, we actually work across all of the practices, all of the service lines, because every organization, no matter whether you want tax, audit, or consulting, has a vision for the future, whether it's articulated or not. And many of the organizations, I would say about 30% that we're working with right now, also want to become purpose-driven. So we cross service lines, break down silos and work across the Americas.

Stacia Garr:
I know you mentioned, Jeff, that a few years or a number of years ago now changed its tagline, but I'm curious about purpose specifically, and if EY has an explicit purpose statement, and if so, what it is?

Jeff Stier:
We do have an explicit purpose statement, and it is ‘building a better working world.’ But the reality is, and this is true with most organizations, purpose comes from your past purpose is why you exist, it's the DNA of your organization. And the fact is for 150 years, EY has always served the capital markets or Ernst & Young before it became the why and helping to use the capital markets to build a better working world.

So it was unstated, but it was there. And as part of our exploration to become a purpose-driven organization, we excavated, if you will, that magic from our past and brought it forward to modern future, thus building a better working world, which is a phrase and a feeling and a belief that 300,000 of our people across the world now all know and can all articulate.

Stacia Garr:
So the tagline is the purpose statement.

Jeff Stier:
Well, I’d never call, but I'd never call a purpose statement a tagline, but the moniker with which we've come now is our purpose statement; the purpose statement has replaced the traditional tagline.

Stacia Garr:
Can you talk to us a little bit more about this focus on purpose? I know you just, you kind of went back into the past and pulled some of that forward into our purview, but what's the history behind it? What was the rational kind of argument for a greater focus on purpose?

Jeff Stier:
We've always been a purposeful organization, although without the clear purpose statement different people articulated our purpose in different ways. In different words, you could ask 300,000 people and you might've gotten a different answer—all rooted in the same concept, but not clearly articulated.

And that's the thing: purpose is that thing that gives us a feeling of great fulfillment and provides us with meaning and keeps everybody in the organization aligned and focused on what that is. So when you create a consistent vocabulary for all of our professionals, in this case a clear declaration of 'building a better working world,’ you know, every one of our professionals, regardless of where they live in the world. And regardless of what part of the business they're in everyone's using that consistent phrase with each other, with our clients and in our communities. And there's great power in having that crystal clear articulation and a set of words, that's common and it's meaningful to all of our people, our clients and communities.

Tal Goldhamer:
Can I add something there? By everyone knowing our purpose statement, it creates a golden thread–so no matter where you are in the world, what culture you have, whether you're a new employee or a tenured employee, what service line you're in and what work you do you come to work to do every day, we are all connected by the fact that we are all building a better working world.So you could go into a dining room in Japan, or in Brazil, or in Michigan, and begin to have a conversation, because that golden thread, the glue that connects us all, there's one thing we can say that does that is that we work at a company called EY that believes in building a better working world. And that is very powerful.

Stacia Garr:
One of the things I was most excited about when we were first talking about having you all on the podcast is that you all have been doing this for a while, but not necessarily as long as some of our other podcast folks, who have been doing this, like literally since the 1800s. And so what I want to know a bit more about is kind of twofold. One is, is this overall purpose journey, and then specifically something we've talked about a lot on the podcast, which is the Business Round Table statement in the fall of 2019 and how that's impacted your journey.

Jeff Stier:
I suspect that if you went back and asked the original founders, Mr. Ernst, Mr. Winnie, Mr. Young, whether they form their accounting company with a purpose and a vision of mine, the answer would be yes, of course they did—almost every new organization, every startup is founded in that manner.

And the fact that we have rediscovered and re articulated it is important now, particularly at this time in the evolution of business. I would say that if you look at a purpose maturity model with zero if you're just starting out in a hundred percent, if it's fully activated, the journey, it never ends. So I would always question if anyone claims that they're at a hundred percent and for EY, perhaps we're at 75%, we've realized that articulation is the start, but activation really is what matters. I call it the ‘say-do gap’. You could say the words, but if you're not doing it, there's know authenticity where we are truly being authentic and drinking our own champagne, when we talk about it, when we bring it to our clients.

The BRT statement, it was really nice to see; it was very natural for our current chairman to sign it along with about 200 other CEOs. And it validated for us that we were no longer, at least when it comes to big organizations, really big organizations, on the journey alone. And that there was really now a commitment to change the way people looked at, and accounted for, purpose.

In our journey, there were a couple of recent ‘aha’ moments that we realized that are very, very important. I alluded to one earlier that purpose alone is not a magic bullet and it never belongs in a conversation by itself; purpose + vision + long-term value, when you look at that equation, that is the power equation. That's the one that if you really want to make a difference in the world for all of your stakeholders, that's the equation that's necessary when you think about high strategy.

The second thing that we've noticed in our journey, the ‘aha’ moment is that if you want to be an organization that claims to be purpose- and vision-led, you need to be led by leaders who themselves are purpose- and vision-led, which means developing a platform and program around personal purpose and vision. And I really believe that Tal and EY are leading innovation globally around this, both how it fits in or what we call is nested organizational purpose envision, how you do it using digital, virtual technology at scale, and in embedding it into the DNA of how we build and train leaders and all of our people.

Stacia Garr:
I love that you mentioned that part, because we've spent a lot of time talking about the importance of connecting individual purpose to the broader organization. But I think you had mentioned this idea of kind of nesting, and that there's an intermediary, there's the team and the nests that you're in, if you will. And that's so important to connect the purpose as well.

Jeff Stier:
We do. Just on that point, we actually have data through our own internal surveys that show that pre some of the creation of nested purposes of our service lines and divisions, at some point the enthusiasm about being a purpose-led organization wore off and there wasn't as much incitement and or enthusiasm.

As soon as we began to create this nested idea, you felt that you belong to a unique tribe within the organization, and you could really connect your everyday work to building a better working world. How did someone in the customer practice come to work every day and do customer things—how were they building a better working world? That connection was really hard to make, but when you create a nested purpose at the functional level, and then more than that, understand your personal purpose and can align that with the daily work that you do in support of building a better working world, you really get employee engagement—you get employee productivity, and it drives innovation because now suddenly you could see how, no matter what role you have, even if it's at a junior level, the things you're doing are helping to build a better working world.

Stacia Garr:
I love how you're, you're basically sharing pretty practical advice on how to make this come alive in a culture and to come alive for individuals. Can you talk to us a little bit more about how you do that and kind of in the operational running of your business?

Tal Goldhamer:
Yeah, it's a great question. It comes down to a little bit of what you were just talking about, Stacia, that’s really, the way we look at is proximity, proximity to the individual, you know, at the macro-organizational level our purpose is building a better working world. And we know that discovering and activating each person's personal purpose and personal vision is also important, but there's something in the middle there, right? It's how do you get closer proximity to the individual in the work that they're doing? And so what we were just talking about—of having nested purposes—many of our businesses and practices have articulated their own nested purpose, and that helps our people connect from their personal purpose to the nested purpose, and that's all in service to the overall purpose of building a better working world. Jeff had mentioned this golden thread idea, and there's also a really nice golden thread when you can articulate your personal purpose and personal vision, because we talked about personal vision is we think it's a really important dimension here, connecting that to a nested purpose of what your team, your broader team is doing, and overall connecting that to building a better working world.

So we think that's really important. I’ll just mention a couple of other things, which is we've had a lot of amazing support from some of our more senior, most senior executives, many of whom have discovered and articulated their own personal purpose and vision. And they've been using it in their communications and in their decision-making and talking about the fact that they've been using their personal purpose and their vision in their decision-making. And as we know, people's social model, right? Those around them and their leaders, so there's this natural movement that we see beginning.

And last thing I'll mention is we, a few years ago, we reimagined and challenged ourselves around what the attributes are of the best leaders. Many organizations have leadership models, so we took a step back. Our ours was good and it was fine a number of years ago, but less fit for purpose these days; organizational culture and workforces have changed.

And we said, we need to reevaluate. Imagine our leadership model and we put purpose and vision at the core. And we did that because we wanted it to serve as a reminder to everyone that it all starts with your personal purpose envisioned, because how do you lead others if you don't know how to lead yourself first?

And we use this in lots of ways, we use it from career conversations to feedback and even to promotion evaluations. So these are just a few examples how we're using our purpose operationally, influencing how we work and how we operate.

Stacia Garr:
I know that you've both mentioned a couple of times the purpose and how it's a little bit different than vision. And so I'm wondering, it seems like a good opportunity to kind of dive into that. So can you tell us a little bit about how you will see those things differently and related?

Jeff Stier:
Purpose? Whether it's personal or organizational, purpose is about what gives you great fulfillment. It's what gives you great meaning it's that, you know, that feeling that you get when you come home after a very difficult day and you still feel good: you might have had even a tough day, tough conversations or bad news or whatever it might be, but you still feel a feeling of fulfilment.

And the question is why do you feel that fulfilment? Well, probably because the work that you had done was very much aligned to your purpose, or as part of your organization, you accomplish something for your customers, your clients, or for the world. And that's rooted in your past—purpose is generally rooted in your past. It's based on origin stories.

Now by contrast, vision is generally a forward and future looking thing. It's a description of the impact that you as an organization or you as an individual want to have in the world. And that impact in that world is different for everybody. For some people, it's the immediate circle around them. For other people it's a bit of a wider circle and you know, yet for other people, it's the entire world, right? I mean, we can all think about people who we consider visionaries in the world and they truly are impacting the world. But you don't have to be a visionary to have a vision: you just have to have a view and articulation of the impact that you as an organization or you as an individual want to have in the world.

Tal Goldhamer:
For years, this idea of fulfilment has been questioned and what makes up fulfilment. And we think that personal purpose and personal vision and organizational purpose are part of what gives daily meaning to the work that you do daily. So in many ways, personal purpose is about daily meaning and daily fulfilment while I'm sorry, purpose is about daily, meaning daily fulfilment, and vision is about daily inspiration, inspiration about what that we have a hopeful or optimistic future.

And when you understand that you can wield these two tools, right, in the proper way to create the cultural mindsets, to create the strategies. But they're two very different tools when wielded.

Chris Pirie:
Yeah. I've never seen it described in that sort of temporal forward-looking backward looking where, but I really get it. There was another sort of definition question that it might make sense based on something you said, Jeff, something like purpose alone doesn't get you where you need to be. There's long term value and business operations. I can't remember. Could you repeat that piece for me and just maybe unpack it a little bit?

Jeff Stier:
So what I'm about to say might be a little heretical coming from a guy who built his career at EY by being the purpose guy, but here's what we now have come to believe. And I alluded to it earlier. The future is inevitable tomorrow. You and I, all of us will wake up personally, and we will be there tomorrow and tomorrow. Every organization has another day in the organization. It's unavoidable. It's inevitable planning for the future if you want to be successful is required, right?

Any CEO who's ever hired by the board, I guarantee you, although I've never been in any of those conversations has been asked, where can you take us? What can we do to get there? Purpose is completely optional, right? You can be a very successful person or organization if you plan for your future effectively and build the roadmap to get there. And we all do that in our lives, whether we know it or not. If in high school, you decide, you want to go to medical school, you know, you have to study certain topics, you have to get certain grades. You have to go to certain schools and you build a plan to get there. It's the same thing with your personal life now, each of you, all of us, and also as a business. But purpose is optional.

We happen to believe that organizations that will be the most successful over the long-term build both a purpose and a vision strategy—a future strategy because you have to, and a current strategy around purpose that is really important in today's age. Why? Because given the way Millennials and Gen Z value purpose, if you want to attract and retain those employees, you really better have a purpose strategy.

Given the fact, and I know we may talk about this later, but we're in the middle of a pandemic where the meaning of work and the meaning of life and the meaning of relationships has completely changed. People are looking for more meaning in their lives; people are looking for purpose in their lives today in a vision for the future, you better be an organization in our opinion, that has both—and that the best organizations balance being purposeful/cause-related/meaningful with having an optimistic view of where they're headed and what they want to accomplish.

Stacia Garr:
One of the things that we've talked about a bit with the research is how with these changing workforce dynamics and particularly some of the things you mentioned around the social justice movements and others, but also around things like gig work, where you can work any time, any place.

The question becomes what is the value of an organization to an individual? By joining an organization and putting on some level of the constraints that you have, particularly with a big organization, what do I get? And I feel like my answer, at least, to that question is, if it's a purpose-driven organization, you become a part of something that is much bigger than yourself that enables you to accomplish your kind of same purpose-driven approach, your personal purpose, but at scale. And to me, that seems to be one of the big reasons, one of the most compelling reasons to join a high quality organization.

Jeff Stier:
I think that's true, Stacia, if the company is doing their purpose gig, as opposed to just saying it. Because purpose is so popular today. Tal and I have coined a phrase, there's a lot of purpose malpractice that's going on. And purpose malpractice is when you'll attract an employee to go for the reasons that you just described. But when you get there, it's just not true, right? The covenant doesn't exist between the company and the person to deliver on the promise. What's the promise? You’re going to work hard for me as an organization, and I'm going to care about you, and I'm going to do things that demonstrate I care about you and how this is different from a gig networker, a gig worker typically they'll do the job for the organization, you’ll get paid and you'll move on. You know, companies with employees have a real opportunity—and this is one of the things that Tal’s team does in learning and development—is beyond my agenda. It's helped me learn things that I care about that are advancing my personal purpose, my personal vision, right? A work with clients who align with building a better working world. But the things I believe in helped me get in on projects that align that.

So I believe that we believe that the covenant between the company, when that exists and you join a purposeful company and they do for you what they promise and you do for them, what they promise, then you can really begin to change.

Stacia Garr:
Let's turn a little bit to the relationship between you two, and how you all collaborate and what opportunities are really created by aligning Tal, your internal perspective and mission with the customer-facing mission of Jeff.

Tal Goldhamer:
Yeah. I mean, I think it's a really great and unique collaboration. We've built programs, whether it's to help with organizational purpose envision that we use internally for the various businesses within EY, and we've built personal purpose and vision discovery programs that we offer to all of our people.

And the key here is that with any programs, what often makes programs stronger is continual feedback. And the more feedback we get the stronger a program gets, and we've been running the programs internally for a few years. And then collaborating with Jeff, we began offering the same programs to our clients and with each offering of the program, whether it's internally or externally, we get more feedback and makes the programs that much better and that much stronger. We have the benefit of running the programs with thousands of people within EY which provides us with great insights on what works and what could be better than when we iterate the program, and we've done that many times and then offered it to clients and get even more diversity and more range of thinking around what works and what works well and what could be better.

And so we have the EY culture that informs the design, and then we have now the benefit of running the programs in many other organizational cultures and with each offering, we strengthen the program and continue to strengthen the programs. We learn something every time. So it's Jeff, I will share here, but it's fantastic.

Jeff Stier:
I agree. It's been an amazing personal journey for me and getting to both work with Tal and make an impact both ways. It's not usual that you can make the impact inside and out in that way, and both of us do that.

The other cool thing is this creates a huge competitive advantage for us and talking with clients. Why? Because when we're in pitches, there are very few organizations that are pitching or responding to purpose and vision and long-term value work that can actually say authentically and credibly, we're doing it ourselves, right? And we're going to be able to help you because we've stepped in mud before you, we've also done other things great before you, and we can help you both avoid those missteps, and accelerate the things where we know it works.

And so that is a real competitive advantage that this collaboration has been able to bring to our pitches and to our conversations with potential clients.

Chris Pirie:
Do you invite your customers to come in and experience your programs—do you go that far?

Tal Goldhamer:
We generally don't intermingle sort of participants meaning that when we offer for our people, we typically offer them as cohorts for our people. But the cool thing is we have an infrastructure in place, so when we're working with clients on, on projects and they have an interest in some of our programs, we're able to easily turn on and, and run programs for our clients. So we typically run them as separate cohorts. But the cool thing is it's essentially the same program.

Stacia Garr:
You had mentioned a few minutes ago, Jeff, that, one of the benefits is that you all can help folks understand what mud is not to step in and from some of the lessons learned that you all have had. So I'm wondering if you can share with us what are some of the challenges or some of the toughest problems facing organizations in the immediate future as they think about this? Or what are some of the things that you've learned along the way?

Jeff Stier:
Yes. So the things that I see personally, given the practice that we lead and the work that Tal and I are doing together, and particularly at this moment in time, as you ask, it's about wellbeing, it's about morale and it's about mindset and mental health.

It's a really, really tough time when many of the things that people thought were important to them and the perks are stripped away. So for example, for organizations like ours and others, where you have people who traveled a great deal and were on client sites, think about what you get from that. Well, when you travel and you stay in hotels, you get frequent flyer miles, and you get frequent hotel miles; when you travel and on your road, your company's paying for your food. When you travel and you're on the road, there's usually a group of people who you can hang out with and bond with, and it's usually a lot of fun. And if you are moving from engagement to engagement or client to client, you might also be paid to explore and experience new cities.

That no longer exists. And so it's stripped back to, I'm sitting in my apartment or my home. I'm on virtual calls all day. I'm being asked to perform in a world where I've never been taught to perform this way before, by having relationships. What am I doing this for? And so we're seeing both within and outside of EY, a real challenge to morale and motivation. And so the reason Tal and I are called in on this is because, if the organization doubled down on their vision for the future.

The natural state of human beings is to hope for a better future. And when we are in tough times, we always hope for a better future. The best CEOs of these times today are balancing being pragmatic about making money and doing things currently with optimism for the future. People need that as well. So doubling down on the purpose of your enterprise or your function, and then helping people understand their own personal purpose and vision, and then maybe having your leadership double down too, getting on your people's agenda, to help them understand that being within the organization, we can help you with your morale because we're going to move your personal agenda forward. Those are the biggest challenges facing us today.

And that's why the work that Tal and I are doing both together and separately is really, really called on more and more.

Stacia Garr:
It's interesting, because I was at Deloitte, I'm still in one of these social networks, Fishbowl. I don't know if you guys are, you know, I'm sure you do. And it's so true because I've been out of it long enough that I hadn't really thought about, you know, all the kinds of consulting perks and benefits and, and just the litany of people who are like, I'm not on the road anymore, I’m not seeing people! It’s so true and it's widespread across the industry. I really like how you're thinking about reframing it.

Tal Goldhamer:
And every organization that has a B2B Salesforce, right, is in the same boat, every single one and it's sector agnostic. So this is affecting a hundred percent of clients across a hundred percent of the sectors.

Chris Pirie:
What do you think about the role of L&D in the shift to a purpose focus? We talked about some very specific programs that you land, but how important is the role of L&D in a purpose-aligned organization?

Tal Goldhamer:
L&D could be a really great Trojan horse in serving up many different types of great development programs. From my discussions and travels with other CLOs, generally speaking, most organizations and the people in those organizations are well, they're learning organizations and learning people: people like to learn. That's a human thing, right? In general, people like to learn new things and explore new things and realize new things and find insights. So there is for the most part built in demand at organizations for L&D to come to the table with great content and great programs and purpose-envisioned discovery are interesting because they're not really learning in a traditional sense, we're not teaching people knowledge. I mean, there's a little bit of learning that's happening, but this is about self discovery; this is a more of a working workshop or working session. Cause we're not training people.

We view the role of L&D as having a role in helping people become better, right? Better performers, better colleagues, better leaders, better people, and helping people discover and activate their purpose and vision almost immediately makes them better in all of those categories. And of course, many complementary ways outside of L & D to also activate purpose. But you know, your question is about how the role that L&D teams play in bringing purpose and vision, it's helping people become better people.

Chris Pirie:
Tell us something about those programs and maybe some of the human impact?

Tal Goldhamer:
Sure—I mean, it's, it's one of the things that we actually love talking about, you know, it's the understanding that humans are the center of a purpose-driven organization. And if we unlock the power of personal purpose and personal vision within each of our people, it naturally supports and connects to an organization's purpose. In our case, you know, building a better working world.

Many people spend good chunks of their life, doing what we call ‘chasing purpose’. When we talk to most people at the average age of our professionals are somewhere in the late twenties or early thirties. And so they've grown up and they've come to the workforce, knowing that purpose is important in some way, but in having conversations with them they know it's important, but they don't know how they're going to go and find their purpose: you know, it's almost like they're going to stumble upon it in some way or come across it and something's going to click for them, and suddenly their work and their life is going to have a different meaning.

And then to tie it all together, you know, we talked about vision. Most of them probably haven't really thought about vision. You mentioned some, even the Red Cross, there's certainly a vision there that attracts people based on the impact that it wants to have. So we describe it as people are chasing purpose: we view it as our role as helping people be more efficient about it. We've developed the programs that help people articulate their personal purpose, their personal vision, and then figure out a way to actually activate it, put it into use and tie it into whether it's the nested purpose of the organization or the macro purpose, the overall purpose of an organization, the vision of the organization and a vision for their life, instead of people literally jumping around and hoping one day they'll stumble upon it; we're making it more efficient for them.

You asked about, you know, human impact and, and stories around people. I mean, the cool thing about the role and the work that Jeff and I are doing together is that we, if, if we do it well, we think we do it well. If we do it well, people are really excited because they've learned something about themselves that they otherwise didn't know.

In my case, I finally articulated my personal purpose and vision in my early to mid-forties. All right. Well, it would have been much more efficient for me to know that when I entered the workforce, and I would have been able to align more of the work and choose projects and do things. Sometimes you don't have a choice of what you're going to work on, but to the extent that you do have a choice, or you have the ability to influence it, it's much cooler to know that early on.

And so, as I mentioned, one of the cool things that Jeff and I have the opportunity to be the recipients of, is that as people go through these programs they love to come back to us and to our teams and share what they've come up with and how it's impacted their lives. So with your permission I'll share one or two stories, which you know, just recent stories.

So, the story of a woman that we heard recently of probably 80% of her job was unfulfilling, you know, 20% of her job. She really liked 80%. She didn't like so by all accounts, that's probably not a great ratio in terms of how you're going to spend a large part of your waking hours for most people. And so, you know, she went through the program, articulated her purpose, articulated her vision, and suddenly had a language and vocabulary that she was able to then use as a lens to look at the work she was doing, and then realized that the 20% is what really fulfilled her.

She realized why a filter, because the vocabulary gave her language to be able to use as a lens, and then sat down with her team leader and said, look, you know, here's the stuff that I really love about my job. I feel like I do it well. I feel like it gives me great fulfilment: I want to do more of it. And here's the stuff that I like less.

And she didn't say, I'm not going to do 80%, but she just said, here's the stuff that I really enjoy, and here's the stuff that really drives me. And here's the stuff that really doesn't drive me. Well, it turns out the team leader said, well, you know, it's funny that you should be bringing this up, because I've been thinking about expanding this part of our team, and it really aligns with what you're describing is your purpose, your vision, the impact that you want to have, would you like to take on more of this kind of work?

Of course the answer was yes! So suddenly, she reported that 80% of her job was incredibly fulfilling, incredibly meaningful to her, incredibly impactful for her and impactful for her team. IT totally aligned. And 20% was still stuff she wasn't really thrilled with, but it went from being 80% to just 20%. That’s an incredible story.

I'll give you one other one, And this is really about people feeling empowered. When you go through the process of discovering your personal purpose and vision, we've talked about, it gives you a vocabulary. And that vocabulary gives you a little bit of empowerment and confidence to share with others. And so we just recently heard a story of another team leader who went through the process, was inspired by it. Didn't know exactly what he wanted to do with it—not everyone has a clear view of how to put into use, but he sat down with his team and said, Hey, I want to share with you, we know a lot about each other, cause we worked together for a few years, but here's what really drives me. Here's what really motivates me.

And instantly, what happens when people share their purpose, even if they don't describe that it's their purpose or their vision, but when you begin to share it, its authenticity shines through in the conversation. You have no choice, but because you're being vulnerable, you're being authentic. You're sharing what gives you great personal fulfilment and the impact that you want to have. And the people on his team then went through the program and discovered their vision. And then they sat down and had a meaningful conversation, the most authentic conversation they'd been working together for years, and they came back to us that we now understand each other. We now appreciate each other.

The team leader said, you know what? I know when I have work that has to be delegated out. I know who I'm going to delegate what work to, because it's aligned with their purpose and with their vision. So these are two stories, but the great thing about one of the pleasures that Jeff and I have is being the recipients of being able to hear so many of these types of stories, because that's really what we were interested in is human impact.

Chris Pirie:
We have this whole poets versus quants sub-theme going through our podcasts, Dani, our engineer is not with us today, but I love the fact that this is really about language and giving people the constructs to have conversations around the stuff that's so important to us. It really is, you know, thinking about the future, collaborating effectively with others, telling stories—they’re deeply, deeply human traits. And I think that's why this is all so powerful.

Stacia Garr:
Yeah. One of the things that occurs to me as you've been talking is if you think about the ‘I’ and the ‘B’ of that—the inclusion and belonging: if you have people who are like Tal’s story, be able to reform their work or to at least make the meaningful connections with others to understand this is who I am and this is what really drives me. That can only have a positive impact, I would think, on both inclusion and belonging.

Jeff Stier:
It does, Stacia. And this is where part of my personal purpose is to give everyone confidence to reach for their unique, remarkable. On the belonging side of it, and the inclusion part of it, if you understand that, no matter who the person is, they have a unique, remarkable and they have a fundamental right to exist in the world with their unique, remarkable. It almost should be built into the Constitution or the Declaration of Independence: then you understand that. I need to make room for these people to belong. Because frankly, and I remember when I was a kid when I was bullied, because I looked like I didn't belong. I went from a religious school to a secular school and I look like it. And who are you to tell me that, what do you know about who I am inside? Right? Nothing is the answer. This allows you to have that insight and to recognize that everyone has a place, everyone has something to contribute, everyone has a right to belong. And the companies and teams that appreciate and act on that are better off.

Stacia Garr:
I'm going to jump in and channel Dani and her engineering/quant side, because I want to be sure we get to this question–which is, we've been talking about all the amazing, in many ways, quality to have benefits of focus on purpose, but many organizations want to know, you know, what are kind of some of the metrics, what are some of the accountability measures that we might have: like Tal, you mentioned to knew that we've moved the ball forward on purpose, that some of the things we've done have actually worked. So I'd love to understand from, from either of you, how were you thinking about measuring purpose and the impact of it?

Tal Goldhamer:
People go through a program and discover their personal purpose and personal vision. We know when they've done that, and we can see on a timeline the before and after. And as you can imagine, as a professional services firm, we have lots of data; we love data and we analyse data—we’re analytics, or many of us are.

And so we can look at things like performance reviews, how their leaders view them, and people who have gone through and discovered their purpose and vision before they've done it. And after we have questions in our people survey, we do a periodic people survey and a question that we've asked is, do your leaders inspire you? And we can see whether or not people have changed their answer, or the trends in answers before and after somebody's gone through a personal purpose and personal vision discovery. Jeff, maybe you can jump in with some of the things that you've been working on.

Jeff Stier:
So for example, and Stacia, you talked about long-term value and you identified that earlier. In the EPIC report—and this is a global report that was contributed to about 40 organizations that manage assets of over $70 trillion—its goal was to create financial, quantitative metrics assigned to the creation of long-term value, of which purpose was one of them.

So let's talk about two of the drivers. One is employees. An employee is a driver of long-term value. And if you think about going back to the idea of fulfilment, when you understand your personal purpose and personal vision, and you feel like you're working for an organization, someone bigger than you, you are more engaged: and when you are more engaged, you are more productive, and when you're more and more productive, you lower the cost of labor. And when you lower the cost of labor, it drops directly to the bottom line, and globally, it's been agreed by these 40 organizations, and now everyone else who is sort of accepted at, by lowering the cost of labor and if you back it up, and if you work all the way back, you can get to organizational personal purpose as ingredients in helping that happen. There's a direct tie.

When you look at another driver, which is on the customer side of it, people who believe in what you believe in as an organization—customers, right—are more likely to purchase your products. There's also statistics that show that they're more likely to be loyal to you. And there's a whole bunch of statistics about what loyalty will bring to you: so for example, it lowers the cost of acquiring a customer, because you don't have to spend as much money with a loyal customer, very loyal customers, customers have the heart, emotional loyalty. And so there are clearly direct benefits when you believe in whether it's the case of an organization or the organization's leader and what they stand for, and you remain loyal to higher margins, lower cost of acquisition, higher retention, all drops directly to the bottom line.

I could go on about that in each one of the five categories that have been studied by Epic, there's a tie to purpose, long-term value, which means including vision, and a direct benefit to the bottom line.

Stacia Garr:
Did you all do any of this analysis internally? Have you been able to kind of show and see the impact of your journey?

Tal Goldhamer:
We have, and I would call it a journey, so we are doing it. And we're starting to see: we launched the program at scale about a year and a half to two years ago, so it's not something that flips and you start seeing the trends immediately; you need time. So we are starting to go through it, and we're starting to see things like the impact to leadership skills in performance reviews. We're starting to see the impact to retention. Cause again, as you discover purpose and vision, and you're able to like the stories I shared or one of the stories I shared, you're able to to adjust the work that you're doing. And sometimes it's just a matter of looking at your work differently and realizing why you enjoy your work and realizing what you'd be giving up if you were to change.

So we're starting to see the impact of retention and we're continuing to work on some of the other metrics, but we're, the trends are showing that they actually are having the impact we think it should have.

Chris Pirie:
We ask everybody who comes on the podcast this question; let me pick on Jeff first!

The question we ask is, why do you do the work that you do? Was there somebody or something that inspired you to focus your professional life on this topic?

Jeff Stier:
I started the story with you when I was in grade school, and I came to a school where I was different and my English class—I loved English—I read a book called Grendel, Grendel's of character in Beowulf, the epic poem. I don't know if you remember, but Grendel was a monster on the inside, but a human on the outside, but a human on the insight. And I, I love the story about Grenville because Grendel lived in the time of the Vikings and Grendel lived alone with his or her mother and only wanted to be human. And when he or she heard the Vikings celebrating would come and knock on the Mead Hall door because they wanted to celebrate and be with other humans, because it was human on the inside. And of course, when the Vikings opened the door, all they saw was this monster on the outside and would chase Grendel away.

And the thing that I appreciated was I felt like Grendel. I felt like I joined the school and they didn't look at the insight. And the thing I appreciated about Grendel was Grendel was tenacious; chased away always came back, knocked on the door again and again and again, and never gave up. And so my personal purpose is about being tenacious—that when people say you can't do something, I get the spark inside of me that says you can do it, and that to recognize, and I shared this before that everyone has unique, remarkable. You just have to look for it and you can't tell from the outside.

So that is my spark. And frankly, I did not discover that until I came to EY and stumbled into this role net tall and then began building the personal purpose program that what I do every day is to help people have confidence that they are unique—that don't worry about what people say, what they don't know, who you are. Let's discover who you are, look into, who you are, and then you can become really remarkable and make remarkable contributions to your team or organization.

So I love the work that I do everyday. It's very personal to me, because it goes way back in my story as a development of a human being.

Chris Pirie:
Great, just thank you Jeff for sharing. Thank you, Tal?

Jeff Stier:
I look back and I would say I didn't pick the role in the job and the things that I'm doing. I think, I feel like it picked me and you know, like Jeff you know, I shared my purpose earlier, which is to make things better for others so that they can thrive and in turn, make things better for others. No matter what I was doing throughout my career, I didn't have those words, but no matter what I was doing throughout my career, I felt great when I was making things better for others—whatever it was, whether it was in my personal life, my work life, I was feeling great when I felt like I was contributing to the world and get meaning from it. When I was helping make things better for others and they were thriving and they in turn can make things better for others.

And what you hear in that, hopefully, is a bit of a ripple type of effect. I like doing things at scale, doing things that will impact lots of people. I feel great when I'm having a one-on-one conversation, I'm making them feel better; I feel incredible when I do things that I know will have a ripple effect and help many, many people, because I love scale, and I love big impact and making things better.

And so when this role came about and this opportunity to be in this role, there wasn't a moment of hesitation. Why? Because I knew in the role that I had that I would be able to make things better for others. At the time, I didn't know that I'd be doing it through purpose and vision; I thought I'd be doing it through lots of other L&D initiatives and programs, which I still do. The purpose and vision is just a part of what I do.

So I feel like it chose me and I wish I didn't know about it, but I wish I would've had my purpose and vision earlier on in my career, because it would have helped me get probably to this path, into this role, that much quicker.

Chris Pirie:
Great! Well, gentlemen, thank you so much for the conversation today—I’m really thrilled that we managed to get you in our season: you bring a really interesting perspective to the conversation. Is there some way where people can tap into your work and find out more about what you do?

Tal Goldhamer:
Yeah. I mean, you could certainly find us on LinkedIn so you can look for us on LinkedIn. You can also email us directly. So my email is [email protected] and Jeff, you’re [email protected].

Stacia Garr:
Wonderful, thank you both; this has been inspiring, and I think folks will also be able to say, I can do that, which I think was one of our goals.

Jeff Stier & Tal Goldhamer:
Thank you very much.

Chris Pirie:
We're very grateful to the team at NovoEd for their sponsorship of this season. Global enterprises rely on NovoEd’s collaborative, online learning platform to build high value capabilities that result in real impact. With NovoEd, you deliver powerful, engaging, learning that activates deep skill development and drives measurable business outcomes.

You can access the research that we discuss here and a ton of other great research and insights at www.redthreadresearch.com—and you can subscribe to the podcast, of course, at www.learningisthenewworking.org.

 

 

 

 

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