Feature
Research Report
The State of the Digital Workplace
If you thought that skills were key to corporate success, you may want to think again. Something more complex is rising up the ranks. Employing workers with "learning agility" may become key in an economy where skills lose their relevance almost as quickly as footprints on the beach.
For most companies, that spells trouble. The World Economic Forum recently identified a growing "skills instability" phenomenon, where a professional learns a new competency only to find it outdated soon after.
"Only about 15% of the workforce is learning agile," Amelia Haynes, manager of research and partnership development at Korn Ferry, told Reworked. Korn Ferry argues these people have a sense of wonder, a readiness to seek out the unfamiliar and an ability to unpack this new knowledge in actionable ways. Haynes defined it more simply: "The willingness and ability to learn from experiences and apply it to new situations."
This matters because modern business operates in a state of VUCA; Volatility, Uncertainty, Complexity and Ambiguity.
Why Companies Can't Afford to Wait
Skills go stale faster than ever. A pandemic, a new regulation, a wave of new tools — any of it can make yesterday’s expert today’s bottleneck. The workers who hold their value through those shifts aren’t necessarily the most credentialed ones. They’re the ones who figure things out.
Microsoft’s cultural shift put a name to what a lot of companies are still figuring out. Their move away from hiring the "know-it-all" smartest person in the room, toward the "learn-it-all" wasn’t soft culture talk. Haynes described learning agility as the cornerstone of corporate resilience, and that framing gets more relevant, not less, the faster the market moves.
Part of why only 15% make it into this category is neurological, not motivational. Korn Ferry and the Center for Creative Leadership have both looked at what happens in the brain when someone admits they’re wrong. It’s not pretty. The same neural circuitry that processes physical pain fires up. Being right, meanwhile, hits the reward center, the same one triggered by winning money. No wonder so many leaders keep running the same plays. It’s not stubbornness. It’s brain chemistry.
When a crisis hits, people split into two camps fast: those who shut down, and those who dig in, said Jim Harter, chief scientist of workplace management and wellbeing at Gallup. What determines which way they go, he said, is largely whether leadership gives them something to move toward. That’s not a management theory, it’s the difference between a team that recovers and one that stalls out.
What You’re Actually Hiring For
Don’t mistake learning agility for a soft skill. Korn Ferry breaks it into five components: mental, people, change and results agility, plus self-awareness. What that really means in practice is: no big ego, no need to be the one who is right and no freezing when something’s unfamiliar. “You need to be aware of your emotions and how they affect your decisions, behavior and actions,” Haynes told Reworked. Most people aren’t.
The trait shows up especially strongly in management consulting, where professionals are regularly dropped into unfamiliar situations and expected to figure out how to solve problems they’ve never seen, said Mary Slaughter, founder of MFS Consulting. “You have to put ego aside,” she said. And ultimately, it’s self-driven: “You have to want to know.”
Kian Katanforoosh, CEO and founder of Workera, a skills intelligence platform, introduced the concept of "learning velocity" — how fast someone actually converts new knowledge into results on the job. It’s a useful frame, though “velocity” implies you can measure it cleanly, which most companies can’t yet. Still, the underlying idea holds: for employers, that rate of conversion matters more than a diploma. The companies outpacing their competition tend to be the ones where people learn faster and recover from mistakes faster. Most companies don’t track how long it takes them to adapt after something goes sideways, they just assume they do it well.
According to Mercer | Mettl, the trait breaks down into two things: raw cognitive horsepower, and a behavioral orientation that keeps someone pushing into uncomfortable territory. You need both. A fast learner who hates being wrong is a liability. An open-minded person who can’t synthesize anything isn’t much better.
Should You Hire for It or Develop It?
Most companies try to do both but succeed at neither. Slaughter told Reworked that many organizations find it more effective to “hire for agility vs. trying to develop it in-house,” noting that the difference is like “being a professional weight lifter vs. having been to the gym.”
Building learning agility in-house is genuinely hard, but worth trying even if you also hire for it. The problem is that corporate learning pipelines are often too narrow to support the rapid-fire adaptation the market now demands. Even so, Katanforoosh argued that “the best thing companies can do is spend time and money on learning” — specifically skills like creative problem solving, critical thinking and prompt engineering. These transfer. They hold up when the job description changes.
How to Spot a Learning-Agile Candidate
So how do you actually find these people? The hiring process can surface them, if you know what to look for and you’re not just screening for credentials.
The most direct path is structured, competency-based interviewing. The interviewer isn’t grading the answer — they’re watching how someone thinks when the ground shifts. Good VUCA-mapped questions to use:
- Complexity: “Walk me through a decision you had to make when the data was messy or contradictory. What did you do?”
- Ambiguity: “Tell me about a time the goalposts moved mid-project. How did you recalibrate?”
- Volatility: “Describe a moment at work when something blew up fast. What was your first move, and what would you do differently?”
- Uncertainty: “How do you keep up with what’s coming in your field before it’s obvious?”
For enterprise and senior roles, many organizations and executive search firms go a step further with standardized assessments designed to put a number on adaptability.
| Assessment | Provider | What It Measures |
|---|---|---|
| Learning Agility Architect | Korn Ferry | Scores candidates across five dimensions: Mental, People, Change and Results Agility, with Self-Awareness running through all of them. |
| Learning Agility Test | Mercer | Mettl | Plots candidates on a two-axis matrix: how much raw cognitive horsepower they have vs. how genuinely curious and open they are. Both matter; neither alone is enough. |
| PI Cognitive Assessment | Predictive Index | A short, timed test (about 12 minutes) that gauges raw cognitive speed — essentially, how quickly someone absorbs new information and reconfigures their thinking when the rules change. |
| VIA Survey | VIA Institute | Less about cognitive speed and more about character. Surfaces traits like curiosity, bravery and perseverance — the personality wiring that tends to hold up when the situation gets genuinely unfamiliar. |
Senior and executive candidates often face something harder than a questionnaire. Simulation-based assessments put people in situations that can’t be prepped for. One common format: hand a candidate a chaotic inbox stuffed with competing requests, incomplete information and a few small fires, then watch what they prioritize and what they let burn. Consulting firms like McKinsey and BCG have run a version of this for years through case interviews: an unfamiliar business problem, no background context, and a room full of people watching how you think.
Mettl's approach to evaluating agility is worth knowing because it shows up across a lot of enterprise assessments. It looks at three things: how quickly someone spots patterns when they land in unfamiliar territory; whether they can take something they learned in one context and make it work in a completely different one; and whether they actually want to understand how something works, not just how to use it. That last one separates people who are temporarily competent from people who keep getting better. One other thing evaluators watch for: the candidate who says “I’m not sure, let me think through this” tends to outperform both the one who freezes and the one who immediately claims to have all the answers.
Building a Culture That Actually Keeps Agile Learners
This happens constantly: someone with real adaptability lands in a role with no runway, no development plan, no connection to what the company actually needs to learn next. According to the LinkedIn Workplace Learning Report, aligning development plans with actual business needs remains the top priority for L&D professionals, and it's still far from a solved problem.
One structural fix that works: put someone on each team in charge of keeping the skill-building pointed in the right direction. Call them learning agility champions. Their job is to translate what the business actually needs into the development work HR is funding. They sit between leadership’s priorities and the team’s growth, making sure the organization doesn’t end up investing in skills that look good on paper but don’t move anything forward.
These workers don’t thrive when learning is handed to them on a schedule. Give them options: mentorship, job rotations, peer teaching, side projects — and let them pick what fits the work in front of them. The catch is that managers have to model the same openness. Agile learners push back, question assumptions and don’t always defer. That’s the point. Leaders who need to be the smartest person in the room will either drive them out or negate what makes them valuable. Katanforoosh suggested a simple gut-check for managers: ask someone on the team to show them something they picked up in the last 90 days. If that conversation feels threatening rather than interesting, there’s a problem.
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Annual reviews don’t work for this. By the time feedback is formalized, the moment has passed. What actually moves the needle is feedback woven into everyday interactions — quick, low-stakes and close to the work. That takes real communication skills on the manager’s side, not just good intentions. HR also has a role that goes beyond policy: making sure people actually have the time and budget to learn, otherwise the culture stuff is just a talking point.
There’s also a less obvious cost to getting this wrong. When agile learners leave — and they do leave, if the culture doesn’t hold them — they take what they figured out with them. Companies that don’t have systems to capture and share what was learned keep starting from scratch. And on the front end, Mercer | Mettl makes the point clearly: if employees are afraid to try things that might not work, innovation stops. Punish mistakes often enough and people stop taking risks.
The Bottom Line
One more thing worth building in, let agile learners teach. Put them in front of a new hire. Have them run a lunch-and-learn. Their instinct to grow tends to be contagious. As for the numbers, Korn Ferry research found that managers who score high in learning agility get promoted at twice the rate of their peers.
Worth noting: a lot of the companies that are struggling with this right now don’t know it yet. Their agile people are still there, still figuring things out; they just stopped doing it out loud, because the last time they tried something new and it didn’t work, nobody treated it like a learning. That gap between what a company says it values and what it actually rewards is where learning agility fails. And it’s rarely anyone's fault in particular, which makes it hard to fix.
Editor's Note: What other considerations come up during hiring?
- What Happens When Candidates Choose AI Over Recruiters? — A fact that should make every talent leader sit up: when over 70,000 applicants were offered a choice between a recruiter and an AI interviewer, 78% chose AI.
- Skills-Based Hiring Is All Talk and (Almost) No Action — Skills-based hiring provides clear benefits, but few have adopted the practice. A look at what can be done to remediate this, including an alternate approach.
- AI Is Making the Hiring Crisis Worse — Using AI as a cure-all creates a doom loop: candidates and hiring managers game each other with AI, and hiring stays broken.