Organizations have an invisible problem that is quietly eroding beneath the surface like a sinkhole. When experienced employees retire or move on, they take invaluable expertise with them—knowledge that is gone forever.
You won’t find that expertise neatly documented in manuals nor captured in your Slack group titled “Funky Org Stuff.” It exists in the minds of seasoned professionals—their quiet, intuitive decisions and intelligence honed over decades of practice. It’s called tacit knowledge.
Why Cognitive Task Analysis Matters
Dr. Richard Clark is a Professor Emeritus at the University of Southern California. He has devoted his career to this puzzle, spending a lifetime helping to promote and pioneer a method called cognitive task analysis, or CTA. It is a process designed to uncover and preserve the hidden insights of workplace experts and their tacit knowledge.
Clark’s research could not be more urgent as organizations confront waves of retirements and resignations.
Yet, most leaders remain blissfully unaware of how much knowledge is slipping away.
“Experts are so automated and unconscious about what they do that they can’t remember to tell you. even if they want to,” Clark told me. He points out that standard training methods fall way short, overlooking roughly 70% of the critical decision-making and knowledge that experts hold. It’s a staggering gap.
Organizations can no longer afford such blind spots.
Real Results, Yet Lingering Resistance
Consider surgeons, for instance. Clark’s research found that medical residents trained via CTA achieved mastery up to 35% faster, performed procedures 40% better, and made far fewer critical errors. Similarly, European patent examiners trained with CTA mastered their roles in one-fourth the time and increased their accuracy by 200%. CTA clearly works.
So why aren’t leaders embracing it?
Clark points to cost, complexity, and inertia.
Traditional CTA requires skilled facilitators, extensive time, and substantial resources. Organizations, especially those under pressure to produce immediate and ongoing financial results, often balk at the upfront investment—even though the return is proven.
Artificial Intelligence as the Bridge
But there is a path forward. According to Clark, artificial intelligence could bridge the gap.
“ChatGPT can already perform about 60% of cognitive task analysis,” he said. Clark envisions AI-driven CTA scaling rapidly and affordably, helping organizations document expert knowledge faster than ever before. That same AI (or a different AI model) could also be the tailored teaching tool for a new learner, adjusting the training based on the needs or skill level of the employee.
Imagine it: personalized, rapid training that preserves decades of experience and translates it into immediate business performance. The future Clark describes isn’t science fiction. It’s available today through Generative AI tools like ChatGPT—yet most leaders remain fixated on yesterday’s training methods and ignore CTA altogether.
Overcoming Checkbox Leadership
Part of the problem is mindset.
Many leaders view knowledge capture as a nice-to-have rather than a strategic advantage. Worse, training is considered obligatory as opposed to strategic. It’s akin to checkbox leadership and one of my most loathed management behaviors.
Clark is arguing for a shift away from such thinking. “We have to start treating expertise like the critical asset it is,” he insists, adding that it is as much a current-day leadership issue as it will be a future organizational one.
In addition to capturing knowledge and training mindset changes, Clark also argues for a cultural shift. He rejects the notion that aging employees naturally lose cognitive ability, saying, “Your brain remains robust when continually challenged by meaningful, complex tasks.”
Organizations that engage older workers intellectually don’t merely retain their expertise; they actively enhance it.
But the opposite remains true as well. Ignore wisdom preservation, and your organization risks constantly reinventing wheels that experts solved long ago. It’s a senseless waste of resources and the definition of inefficiency. Maybe now is the time for the year of efficiency.
Steps to Capture and Preserve Expertise
Clark provides three practical suggestions to stop the knowledge hemorrhage:
- Prioritize Immediate Expertise Mapping: Identify your critical roles—particularly those filled by experts at or approaching retirement—and document their knowledge systematically.
- Leverage AI to Accelerate CTA: Deploy AI-driven Cognitive Task Analysis to rapidly and cost-effectively capture and transfer expertise. It’s faster, wiser, and more effective than traditional training. (e.g., ChatGPT)
- Build a Culture of Genuine Lifelong Learning: Invest in meaningful cognitive challenges across all age groups, especially older employees. The payoff is both retention and deeper organizational competence depth.
Organizations that proactively manage, develop, and transfer the expertise of their team members will gain a tangible advantage. Those who continue to overlook it choose to let critical knowledge quietly disappear. It’s about as brilliant a strategy as tariffs against Canada.
Clark leaves leaders with a pointed question worth reflecting on:
- “Who’s about to leave your organization, and what critical knowledge will they take with them when they go?”
It’s not a response you want to hear while watching the backs of your talented individuals walk out the door for the last time.
Watch the full interview with Richard Clark and Dan Pontefract on the Leadership NOW program below, or listen to it on your favorite podcast.