Latest / Hiring & Firing with Fexingo: Recruitment, Performance, and Workforce Decisions / How Learning Agility Predicts Job Performance
Transcript
- Lucas: A few years ago, a mid-sized software company called RiverTech took a hard look at their hiring data. They found that new hires who scored high on something called 'learning agility' were two and a half times more likely to exceed performance targets in their first year—regardless of how many years of experience they had on their resume. Luna: So they basically realized that potential mattered more than pedigree. How did they measure learning agility in a way that wasn't just a gut feeling? Lucas: They designed a structured interview around it. Instead of asking 'Tell me about a time you led a project,' they asked candidates to solve a novel problem on the spot—something they couldn't have prepped for. They observed how the person gathered information, handled ambiguity, and adjusted their approach in real time. Luna: That sounds like a work sample test, but focused on the thought process rather than the output. Did they have a scoring rubric? Lucas: Exactly. They used a four-point scale for each of three dimensions: problem framing, experimentation, and reflection. The whole exercise took about 20 minutes. After a year of using this, they saw first-year productivity climb by 35 percent and early turnover drop by 20 percent. The cost per hire actually went down because they reduced mis-hires. Luna: I love that they measured reflection—how often do we ask candidates to think about what they'd do differently? But I worry that this approach might filter out people who are just nervous in the moment, even if they're highly agile. Lucas: Fair point. RiverTech addressed that by giving candidates a structured prep sheet beforehand—no specifics, but a framework for how to approach open-ended problems. They also allowed a five-minute silent thinking period before the candidate started speaking. That helped level the playing field. Luna: So they made it more equitable. I've also seen research that learning agility correlates strongly with leadership potential down the line. Did they track that? Lucas: They did. Over three years, employees hired through this process were promoted at a rate 40 percent higher than those hired before the change. And the company was able to fill senior roles from within more often, which saved on external executive search fees. Luna: That's a huge ROI. But I imagine some hiring managers resisted—they're used to leaning on 'years of experience' as a shortcut. Lucas: Initially, yes. The engineering VP was skeptical because he believed deep domain expertise was non-negotiable. But they ran a pilot: they hired ten candidates with high learning agility but less direct experience, and ten with the traditional profile. After six months, the high-agility group had caught up in technical skills and exceeded on collaboration and innovation. Luna: Data wins again. So what's the one thing our listeners can take away to try in their next interview? Lucas: Add a 'learning scenario' question. Pose a realistic but unfamiliar problem your team actually faced—maybe from six months ago—and ask the candidate to think through how they'd approach it. Don't judge them on the 'right' answer; judge them on their process. Do they ask clarifying questions? Do they iterate? Do they acknowledge what they don't know? Luna: And then after they respond, give them some feedback and see if they can revise their approach. That's the real test of agility—can they incorporate new information and adjust? Lucas: That's a great extension. In fact, RiverTech's best predictor was the candidate's ability to improve their solution after hearing a hint from the interviewer. People who pivoted quickly almost always turned out to be top performers. Luna: We should mention that this doesn't replace a skills assessment for roles that require specific certifications—like a pilot or a surgeon. But for most knowledge work, learning agility is a powerful signal. Lucas: Right. And if today's conversation gave you a practical idea to try, that's exactly the kind of takeaway we aim for. If you find these episodes useful, listener support is what keeps the show ad-free. You can contribute at buy me a coffee dot com slash fexingo. Luna: Yeah, it's a simple way to help us keep bringing you concrete, research-backed insights without any sponsor interruptions. Lucas: To circle back: the core lesson is that hiring for learning agility doesn't mean ignoring experience—it means putting it in its proper place. Past performance is a snapshot; adaptability is a trajectory. And if you design your interview to capture that trajectory, you'll build a more resilient team.