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349: Attract the Right A-Players with David B. Jones

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David B. Jones, CEO and Partner of Mercer Assessments, is helping organizations attract the right A-Players by making labor markets more efficient through defensible human capital insights. By combining psychometric science, workforce analytics, and AI-enabled technology, David helps employers identify, develop, and retain the right talent while empowering people to discover careers where they can thrive and make meaningful contributions. 

In this conversation, David introduces The R.E.A.P.E.R. Framework—Review the Situation, Explore Alternatives, Agree a Course of Action, Execute the Plan, and Refine the Approach. He explains why organizations should begin every challenge with a thorough situation review, how collaborative decision-making creates alignment before execution, and why continuous refinement drives long-term organizational success. David also discusses how AI is reshaping talent management, why organizations need real-time workforce insights instead of static reports, and how Mercer Assessments leverages technology while preserving the integrity and defensibility of human capital assessments.

Attract the Right A-Players with David B. Jones 

Good day. Steve Preda here with the Management Blueprint Podcast. Today, my guest is David Jones, the CEO and partner of Mercer Assessments, focused on providing defensible human capital insights and foresight in the fields of talent acquisition, leadership development, and organizational productivity. David, welcome to the show. 

Thank you, Steve. Great to be here. 

Well, I’m excited to have you here, especially because you are the first guest—maybe not completely from the Middle East because we had a couple of guests from Israel—but definitely from Dubai, where you are. Maybe that is also impacting the answer that you’re going to give to my question. So here is my first question. What’s your personal ‘Why’, and how are you manifesting it in your business, Mercer Assessments? 

Yeah. Well, I mean, I think obviously a lot of skills around resilience and being able to think about how you maintain your own personal well-being, but also the well-being of the workforce, is something which has come to the fore in the last couple of weeks, for sure, living in Dubai. But I think very much of my North Star—by educational background, I’m a labor market economist. Although I’ve worked in HR and talent management for pretty much all of my career, I think I’m always thinking about how to make markets more efficient. 

I think the labor market, in some ways, and what it takes to become efficient, is very similar to a fish market, a stock market, or any other market that you can think of. What you need to be able to make the best decisions is really good data, really good up-to-date information, both on the supply side and on the demand side. Share on X I think a lot of what we do at Mercer Assessments, and a lot of what we do in talent management more generally, is really about trying to do that. Trying to help individuals understand what their strengths are. 

Trying to match them to specific careers that will be more fulfilling for them in the long term and also help them be more productive for their employers. As well as helping employers understand what the important skills are for today and tomorrow, and how they can predict how people will perform in certain environments. So really trying to bring the supply side and demand side together. I think, notoriously, labor markets have very bad information. 

Typically, most people get their career guidance from their parents or their grandparents, which can be great for aspiration but doesn’t always necessarily keep them up-to-date in terms of what’s happening in today’s workplace. So I think this is really my anchor, if you like, where a lot of what we do in our innovation, our technology, or our engagements with clients typically comes back to this point. Fundamentally, how do we make labor markets more efficient and more functional for all of the stakeholders? 

Yeah, that’s fascinating. So would you say that if you are doing this well, then more people will feel fulfilled in the roles that they work in? 

I mean, I think that’s definitely the aspiration, right? That’s definitely what you would hope to do. I think, as individuals, I’m sure we can all think of those really, really great days where you think that you nailed it at work, and you think that this is something where you can make a really specific contribution. It just feels good, and all those people around you have the benefit of that. It becomes something which is infectious for those around you. 

I think it’s important for the economy on a macro level, right? I think if we are able to provide opportunities, provide career paths, and help people understand what their unique strengths are, then this is something which helps to promote productivity and positivity more generally, right? At the individual, team, family, and societal level, it affects all sorts of dimensions. 

So maybe this is kind of a side question, but I’m really wondering, is this AI revolution, as we’re going through it, influencing your work, and is it changing the requirements of employers? 

Yeah. I think we’re in a very interesting time. I mean, I’m not a futurologist. I’m not a prophet. I’m not somebody who makes these sorts of big predictions about the future. But I think the case for AI, to some extent, is still unproven in terms of what it’s actually delivered to date. I mean, I think there’s obviously a lot of investment. There’s a big impact on the environment. But I don’t think we’ve had something really groundbreaking discovered by AI at this point that’s new. 

It seems to be quite backward-looking in many ways, based on ingesting data from all the novels that you have on your shelf and that I have on my shelf. Maybe they’re going to ingest this podcast in the future. I don’t know. It doesn’t seem that there’s been a unique breakthrough that humanity has not been able to, or would not be able to, achieve by itself. And yet, I think the promise and the anticipation of what AI can do is quite compelling, right? 

I think the way that it is impacting the labor market especially… Ironically, it’s impacting probably software developers the most today. It’s interesting that a lot of people in white-collar fields, professionals maybe, are also feeling like it’s changing the way they’re working. So there’s a big debate, I think, about whether it’s going to be an augmentation or whether it’s going to be a replacement of some sorts of tasks.

I think one thing you can say with certainty is that the concept of a job is definitely going to change. If you look at the roots of the word—the etymological roots of the word “job” in the English language—it literally means “a task” rather than a role as such. Yeah. So I think we’re going to get this greater atomization of people’s roles. What used to be bundled together as one job is now going to be much more atomized into specific skills, specific tasks. 

The opportunity there is that we all get to do more of the things that we find more fulfilling and less of the repetitive, dangerous, or dull types of things that we have to do in our jobs sometimes. Share on X But I think it has some second-order impacts in terms of how people develop their careers and the competence and confidence that people, particularly when they’re junior in their jobs, need time to build—the ability to operate at a higher level. So I think we’re all going to have to be leaders in lots of ways, even leaders in our own work. 

Yeah, I agree with you. That’s fascinating. So, David, let’s talk about the framework. What would be a framework? Think of something that allows you to be more effective in your job—something maybe that you personally discovered or that you and your colleagues developed. Something that helps you be more effective in creating those labor market matches, finding the right candidates, and assessing them. Something that you can describe in three, four, or five steps, or maybe three or four ways of looking at things. Anything that comes to mind? 

So there are a few things. I did miss a few things because I think—I don’t know if you’ve heard the news. We’re recording this, and I think the British prime minister has just resigned today. This is, I think, our seventh prime minister in 10 years. I’m sure each one of those prime ministers had their own framework in terms of what they wanted from their political leadership and how they were going to operate in government. 

So I think we’re definitely operating in a much more VUCA world, right? This mnemonic is about being volatile, uncertain, complex, and ambiguous. I think, to some extent, that means that having a framework has to be something that is constantly being amended, reviewed, and updated in many ways. A lot of what we do in assessment—we have very clear statistical frameworks where we look at particular behaviors or particular characteristics, and we try to make sure we measure them. But I thought maybe that was too detailed and too comprehensive. 

So one of the things we do when engaging with our clients is that we have a sort of consulting approach. It’s like a cycle. We start by reviewing the situation, so it’s like a situation appraisal, if you like. We use this internally as well in Mercer Assessments. So we try to understand what’s happening, what’s going well, and what we’re concerned about—just trying to get any data or information that we can. 

Then it's important, particularly with a team or with a client, to explore what the priorities are, what's important, and what is causing them the most thought or requiring the most energy to address. Share on X So reviewing, exploring, and then agreeing on a course of action. Making sure that there’s consensus or, if you’re in an organization, making sure you’ve got the budget and the endorsement from headquarters or senior management. Then I think you can go into a planning stage. Making sure you’ve got a focus on execution and that you know what has to happen and when. 

Then I think you can go into the ability to have that as a cycle and review or evaluate the plan itself. Is it on track? Is it on time? Is it on budget? Is it achieving its objectives? You can continue on this sort of reflexive cycle. So if you were to do that, it becomes quite sinister. The mnemonic becomes R.E.A.P.E.R., like the Grim Reaper or like “reap what you sow,” because you review, explore, agree, plan, execute, and then review again. Share on X So it can become, hopefully, a virtuous cycle, but it can also become an ongoing process. 

I love it. So Yeah. So if you refine, maybe the last one is refined, and then you avoid repeat— Yes. Yeah. 

Yeah. Oh, great. 

That’s good. Yeah, I like it. Yeah, love it. So basically, what you’re looking for is helping your customers with an initial problem and then helping them generally improve their organization by continuing to refine and add to it, making it better over time. 

Yes, correct. Yeah. 

So it turns into a recurring engagement. 

Yes, that’s the hope. Well, yeah. I mean, hopefully, if you have that relationship with the client and also with your team, you have this ability to recognize what you’ve achieved together, but you can also plan what you want to do differently next time. 

So you’re the CEO of Mercer Assessments, which is the Dubai operation. Is this just a geographic branch of the Mercer Group, or is it a separate business that operates in multiple geographies? 

Yeah. So actually, it’s a new venture for Mercer globally. My background is that I was one of the founders of a company called The Talent Enterprise, which was acquired by Mercer just over two years ago. It had also made an acquisition of another company before that called Mettl. So we were more of a talent assessment type of company. 

We would do talent acquisition, talent development, leadership development, things like high-potential identification, succession planning, and these types of applications. Employee engagement as well, things like employee well-being assessments and stuff like this. The psychometric assessment field. So if you or your listeners are good at Greek, you would know that “psychometric” means “measurement of the mind.” 

Yeah, right. So this is really what we’re trying to do. We’re accredited by the British Psychological Society to say that the tools we have, use, or develop have validity, reliability, and are statistically stable within the sorts of bounds that you would expect when measuring human beings. 

It can never be perfect, but it’s considered to be predictive. Mettl was more focused on skills assessment. That was one of their big areas of focus, along with educational assessment. So coming together as Mercer Assessments, we’re now part of this big global organization. Although we’re based in the Middle East, we’re now working in Asia, Europe, North America—we’re just starting to do more work in North America—and Australasia. So this is the sort of big, hairy, audacious plan that we have. 

That must be pretty intense if you’re working around the clock, essentially working around the globe. Then Mercer is… It can be. 

Yeah, it can be. Even working in the Middle East, you have different working weeks. Some of our clients work on Sundays. But we have a good team. We have a big team. We have great technology. So we have scalable ways of doing it. 

So what drives growth in this business? 

I think it is changing. If you were to ask me that question even two years ago, I would say it’s to do with the change, the transformation, or the aspiration of the client, of the organization. If they’ve got a new operation, or they’re expanding, or they need to develop new skills, or they need to make sure their productivity and positivity are enabling them to keep up with their competitors, then these things would often trigger the sorts of interventions that we help our clients with. 

That’s still true to a large extent, but what's changing a lot is what you were talking about earlier—to do with AI and expectations from technology. So I think what we're doing a lot more of now is real-time decision support. Share on X It used to be that our deliverables would look like a PDF report. They would say, “Okay, this is Steve. We’ve assessed Steve. These are Steve’s strengths. These are his areas for development. This is the sort of team or the certain type of colleague that he would thrive working with. 

These are the people or the situations that he might struggle with.” That type of static report. Then either we or the client—sometimes if you’re looking at large numbers of people—you’d have to do a lot of spreadsheet work or a lot of PowerPoint work and say, “Okay, now we need to match that with your strategic objectives.” So I think what’s happening now is we’re focusing a lot more on the data. 

Our technology is providing much more of a dashboard report, so Steve can access his results straight away because that’s actually when Steve is most interested in them and they’re most relevant—not two weeks later when you schedule a coach or someone to give him feedback. You’re interested as soon as you finish the last question. You want to know, “Okay, what does this say about me?” We can add lots of AI layers to that to help you implement it or understand it. Then for the organization, we now provide much more of a dynamic dashboard-type report. 

So if, I don’t know, the CFO leaves this afternoon and the CEO calls the CHRO and says, “Okay, who are the internal candidates for this role?” You can come up with an answer. It doesn’t have to be something where you say, “Let me check my filing cabinet,” or, “Let me put a PowerPoint together for you and get back to you later this week or next week.” You can actually do that type of matching within the platform that we have. We have our own platform called Lighthouse, and it really helps you match individuals or teams to certain tasks or to certain ventures or aspirations that the organization might have. Share on X 

Yeah. So instead of providing individual reports for individuals, you now operate this platform for your clients, and then they can look up the people involved in changes. So how is it different to scale the business with this type of approach? What makes it more complex? 

Yeah. So on the one hand, it can help us a lot as our own organization because we can be much more pervasive 24 hours a day across the different time zones that we operate in. If you’re our client, you don’t always have to rely on having a meeting or a call with us in person. You can go and find that answer yourself. It’s quite an intuitive process and platform. You can access it and get value from your own data. I think that’s the key thing that I’m trying to emphasize that’s changed. 

Clients are now impatient with SaaS platforms in particular when they’re not able to access their own data directly. So there’s a little bit of disintermediation going on in the enterprise software business as a whole. That’s the key trend that I’m trying to highlight here. But it also helps us to be more scalable. Just to take a step back to the previous discussion about AI, I think when it comes to using AI in your business, the key strategic choice is what you’re not going to use AI for. 

For us, we made the choice actually three or four years ago that we’re not going to use AI in the assessments themselves. Not today. Maybe in five years’ time or ten years’ time we might change our mind, and we’re constantly reviewing that. But we need these defensible assessments. We need to be able to say, “This is fair and objective, and we’re coming with an external point of view that is transparent and defensible in every sense of that word.” 

Yeah. You don’t want to hallucinate assessments for clients or even run the risk of that happening, right? 

Yeah, absolutely. And there are some companies that have done that, right? I mean, there are lots of cases you can find where companies have said, “Hey, we just need a five-minute video, and I can tell you everything you need to know about this person, and you can make decisions about their career and all sorts of stuff,” right? I’m not saying we won’t get there in the future, but I just don’t think that’s good enough at the moment. 

And I think with a lot of things that you do with chatbots now, if you’re judicious about it, you might be able to say, “Well, actually, that’s interesting, but it’s not good enough,” right? It’s not a finished product. It’s not something that I can execute on. What we can do is add a lot of value around the assessment. So we can do things like AI-based development planning, right? 

When someone wants to see their results—and people normally want to see their results almost immediately after they’ve finished their assessments—you can start to say, in the flow of work, in the client’s environment, whatever their learning partners or learning architecture may be, “Okay, here’s a development plan for you,” customized and curated within that environment for your strengths, how to emphasize them, and also for any development areas or new learnings that you want to address. 

We can also do things like AI-based proctoring, right? We can give the client a risk report on an application and say, you know, how genuine is this? What other software does Steve have open on his laptop? Is there a shadow in the room? Where are his eyes going? Is he looking at someone else? Is he getting help from someone else? Is this really Steve? All these sorts of things, right? We can do that. We can also develop customized case studies for the organization around its specific tasks and challenges that the organization has. 

So you can come up with very specific, job-related assessments. AI can add a lot of value to all of these things. It can provide greater scale and a greater ability to sustain our growth. But with the core of what we do today, we’re saying, “Look, you need to be able to trust us.” And we want to be able to show you the answer. If you have a question about any of our assessments, we can check. There’s an audit trail, and we can show you the answer. It’s not just, “The computer came up with this idea. We don’t know.”

But that’s intellectual property, and you know that it works, and you’re sticking with it. You don’t allow AI to bastardize it, basically, yeah, which makes sort of sense. So, David, what is one thing that you’re actively trying to figure out in your business right now?

That’s a great question. I mean, there’s lots of things. I think a lot of them come around, you know, what is this threshold between what we do as humans and what we use AI or other technology to help us do? And I think that threshold is constantly being reviewed. A lot of it is to do with how do you make growth sustainable. We have had massive growth in the last five or six years, and that’s a great thing. 

But I think it means you have to make sure the foundations of your organization are strong so that you can move from one to another. I mentioned earlier that we’re just starting to focus on North America as one of our new markets, and I was very keen that we didn’t do that until this point or even next year because we’re not the organizational equivalent of The Beatles, right? Like, we can’t just expect to turn up in a big, sophisticated, very strong, highly cultured market and be able to expect that we’re going to do things like we’ve done them everywhere else, or that we don’t need to think about how we communicate with those prospects and those clients. 

So that’s a really big step for us. And how we manage data, I think, is probably the key thing. Fundamentally, if I was to come back to answer your question, I think it’s how we manage data because I think clients are becoming much more sophisticated, much more impatient with people who curate their data. They say, “Look, you know, we know we’re generating lots of data inside the organization,” right? Which is typically what we do, right? It’s people data. 

Normally in most work environments, you can tell when somebody opens their laptop, or you can tell when they walk in the office door, or you can tell sometimes even what they’re doing inside the working space, right? Their ID has got an RFID in it or something like that. So there’s lots of data that’s constantly being generated inside the organization, and clients want to get value from that data. And having a sort of third-party proxy come in and say, “Hey, we can do your payroll for you,” or “We can send a questionnaire to people once a year, and that can let you know whether they understand health and safety or they’re engaged in their workplace,” it’s not really satisfactory anymore, right? 

The clients are saying, “Okay. I want to be able to get value from my data, and I want to be able to see that. I want the analytics. I want to ask questions that are not able to be prescribed at the beginning.” “And I want to be able to do these queries in real time.” 

So essentially, would that require you to get integrated with your clients to some degree so that you can process the data in real time as it emerges?

It’s really interesting because I think what I’m hearing from my clients is they’re actually frustrated with that. In the sort of classic SaaS world, which we’ve had in organizations now for 20, 30, maybe even 40 years, you integrate the big internal ERP systems or CRM systems, and you integrate them, and then you have to sort of work within their framework, right? And you might see a report that’s already pre-programmed, but you don’t necessarily see the data, right? If you wanted to say, “Okay, what’s the trend today over the 24-hour clock?” or “How is it changing in June compared to May?” or “How does it relate to the temperature?” or whatever, right? 

You can come up with all these questions that you might not be able to predict and then plan and have a sort of pull-down standard report. So to do that, you need access to the data. And I think clients are saying, “This is our data.” This data belongs to us. We want to be able to see that directly, and we want to be able to use that as a decision-support tool, and not necessarily just have a report.” 

Yeah. So they’d rather own the data and apply your tools to their data without you necessarily having access to the data or something like that? 

Yeah. It’s also a source of differentiation for them, right? Because they know that if… I’m not going to mention these companies. I’m sure you and all your viewers know the big brands. It’s interesting what’s happening with their share prices recently, right? They’re all maybe suffering a little bit from a decline in their share prices, on average. It’s basically a standardized way of doing things, right? 

There’s pretty much the same way that any corporation in any part of the world is going to do it because that’s the way you get efficiency through that software. But if an organization says, “Actually, we’ve got an insight into something that we think is unique and differentiated, and we want to make decisions in a slightly different way, or make them faster,” that’s a point of competitive advantage. 

Does that mean they wouldn’t want you to apply their idea to other customers because it’s their unique property? They’d just want your tools to help them process their data. They don’t want to share it with you. 

Yeah. There are clients like that. We do deal with very sensitive industries, and sometimes government departments, where we have to be able to certify that type of approach. I think that’s likely to become more common in the future as people become more sensitive and more aware of the value, the opportunity, and the threat of what can happen with their data. 

Yeah. I mean, some people say that information is now ubiquitous. It’s the questions that are really important because that’s how you communicate with AI. Maybe the question itself can be proprietary know-how—knowing how to ask the right kind of question. They don’t want… 

No. I mean… Yeah, I agree. Completely. Yeah. You’re absolutely right. Again, to go back to assessments, we’ve recently released a whole bunch of assessments that measure skills in AI as a domain. We’ve got all sorts of technical and non-technical AI assessments. Obviously, one of the skills that we look at is prompt engineering. If you’ve used some of the generative AI platforms, you’ll always get an answer. 

They’re pre-programmed to give you an answer, and most of them are also pretty polite. They fluff up your ego a little bit and say, “Hey, great question.” “That was really interesting.” Then they’ll give you an answer. You need to be aware of that. You need to probe and make sure you’ve not just got an answer—you’ve got the answer. Or at least the best answer that makes sense for you. Then you’ve quality-checked it. 

You’ve taken it from one platform, put it into another platform, and then into a third platform. Whatever you’ve done, you need to have that awareness and those specific skills to get the most value out of it. It’s very dangerous, and I think we can all see it. I’m sure your inbox is like my inbox. You get emails from people and think, “Okay, well, that’s not an email from a person.” It’s a bulleted email. It’s not personal. It’s not directed at you. Sometimes it’s hard to understand what it even means. 

Yeah. You’re right. So David, who is the ideal customer for you that can most benefit from your solution? 

That’s a good question. Personally and professionally, I like clients who challenge us. I like clients who ask questions that make us think in a different way, so we can hopefully give them value and really answer those questions. I think that’s important for us to develop. Clients who are looking for new insights or different foresights that help them in their business—those are the kinds of clients we’re looking for. Definitely the ones who are pushing the envelope and helping take us forward in terms of quality. 

So if those types of people are listening to this show and would like to learn more about what you do and how you might be able to help them, where should they go? Where can they find out more? 

Yeah, absolutely. You can find me on LinkedIn. I’m David B. Jones on LinkedIn. There are a lot of David Joneses. I think David Jones is the most common name for a British man—even more common than John Smith—so there are a lot of us around. But you’ll be able to find me as David B. Jones. You can also find Mercer Assessments. You can find out more about us through those channels. I’ll be happy to answer any questions or provide more information. 

Is there a website people should check out? Do you have a separate website for Mercer Assessments? 

We do. Mercer Assessments is part of the mercer.com website. That’s where you’ll find more information. There are also a number of books we’ve published on particular subjects to do with assessment, talent, and leadership development more generally. Those are all available on Amazon as well. 

Okay. So if you’re out there and you’re looking to have a more sophisticated view of your people and their aspirations and how they fit the type of work that you want them to do, and you’d like to understand more deeply, then check out Mercer Assessments, David B. Jones. Actually, it’s easy to just put in “David Jones Mercer,” and David will pop up that way. 

Check out the books that David and his colleagues have published. And if you enjoyed this conversation, then make sure you follow us on YouTube, Apple Podcasts, and wherever you get your podcasts. And David, thanks for coming to the show and sharing your experience and insights. I mean, it seems to me that you have a much more nuanced approach than most talent assessment or performance assessment organizations, and you have a lot more tools at your disposal. It’s a combination of technology and professional expertise. So that’s fascinating. Thanks for coming on the show. And if you enjoyed this conversation, make sure you follow us because we come out every week with exciting entrepreneurs like David.

I will. I will. Thank you, Steve.

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About the host

Steve Preda is the host of the Management Blueprint® Podcast, where he interviews founders, CEOs, and entrepreneurs about the frameworks, systems, and decision-making processes they use to build and scale businesses.

He is the creator of Summit OS® and works with founder-led companies on leadership structure, execution discipline, and scalable business growth.

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Steve Preda

Guiding growth through executive leadership and innovative operating models.