Imagine a veteran machine operator in an aerospace factory pausing mid-shift after recognizing an unusual sound from a turbine. An early warning that, if ignored, could trigger a costly breakdown. This type of tribal knowledge, built through decades of hands-on experience, exists nowhere in manuals or standard operating procedures. Yet, according to the Publications Office of the European Union, workers aged 55–64 are expected to make up 30% or more of the workforce in many EU countries by 2030. European manufacturers, therefore, face an urgent challenge: critical expertise is increasingly concentrated in an aging workforce representing a pool of skilled labourers that continues to shrink.
How, then, can organizations document this knowledge before expert employees retire? This article aims to explore practical strategies for capturing and transferring expertise before it leaves the organization.
The Real Cost of Losing Tribal Knowledge
Tribal knowledge is the collective wisdom, unwritten best practices, and intuitive expertise that veteran workers develop through years of hands-on experience. Unlike documented procedures, it exists only in people’s minds. This knowledge often determines whether operations remain stable or escalate into costly disruptions. When tribal knowledge disappears, manufacturers do not just lose experience; they lose a critical layer of operational resilience affecting safety, efficiency, and quality.
EU population projections indicate that the working-age population could shrink from 239 million in 2015 to around 217 million by 2050. Data from the European Labour Force Survey shows that nearly one in five workers is aged 55 or older in Germany, Finland, and Sweden. In Germany alone, reports on Aging and regional productivity growth indicate that the average workforce age has increased from 41 to 44 since 2000. This demographic shift fundamentally changes how industrial organizations must approach long-term operational resilience.
The consequences are already becoming visible. Research in Process Safety Progress shows that 27% of major accidents in European process industries involved shortcomings in situational awareness and decision-making, highlighting the risks of relying solely on formal training to develop these skills. The most at-risk knowledge includes equipment-specific quirks, process optimization shortcuts, crisis response behaviors, and visual inspection judgment. A deliberate approach to tribal knowledge transfer is crucial in preserving these capabilities.
It’s worth noting: long fixations don’t always signal interest—they can also indicate confusion or show that there is a lot of information available that needs to be perceived. Context is key.
Why Traditional Approaches Fall Short
Organizations have long relied on two primary methods to preserve operational expertise: written documentation and direct mentorship. Both are valuable and necessary. But as workforce demographics shift and operational complexity increases, their limitations are becoming increasingly difficult to ignore.
The Documentation Problem
Written standard operating procedures and work instructions are essential, but they primarily capture knowledge that can be audited. They often fail to reflect the experience-based insights developed over decades of hands-on work.
In practice, documentation competes directly with production priorities. Even when it exists, documentation often lags behind operational reality as equipment ages, processes are optimized, and informal workarounds emerge. This widening gap between documented procedures and everyday practice represents a growing risk.
The Mentorship Gap
Mentorship and job shadowing enable valuable knowledge exchange, but their effectiveness can be inconsistent. Transfer often depends on individual communication skills, availability, and the assumption that expertise can be explicitly explained. The one-to-one nature of mentorship also makes it difficult to scale. And as older employees make up an increasing share of the workforce, the time available for structured handovers becomes progressively limited.
A systematic way to verify whether critical knowledge has been transferred and retained is not always given. For organizations facing simultaneous retirements across multiple roles, this creates a fragile dependency on informal knowledge exchange.
Importantly: traditional methods often focus on what experts say, rather than what they actually see and do in critical moments. Overcoming this limitation requires a shift toward methods that capture expertise as it is performed, instead of after the fact.
What makes expert knowledge different
What sets manufacturing experts apart is how they perceive situations in real time. Their knowledge is largely visual and intuitive, making it difficult to verbalize; they rely on efficient attention, not more inspections.
In particular, senior technicians develop optimized visual scan patterns that focus on areas most likely to indicate risk or failure. This perceptual efficiency enables faster, better decisions, yet it is rarely captured in documentation or training.
The key insight: to transfer expert knowledge, organizations must capture where experts look and what they notice.
5 Strategies to Preserve Expert Knowledge
Preserving expert knowledge requires more than a single initiative. It calls for a practical mix of organizational, process-driven, and technological measures. When used together, these approaches help ensure that critical expertise is captured, transferred, and validated before it leaves the organization.
1. Conduct a knowledge risk assessment
Preserving tribal knowledge starts with identifying where it resides and how vulnerable it is. Critical roles held by employees nearing retirement pose the highest risk. Prioritization should consider both the retirement timeline and the importance of the knowledge. Asking questions such as, “If [Expert] called in sick tomorrow, what would stop?” can reveal which skills are truly indispensable. A clear understanding of these risks provides a roadmap for targeted knowledge transfer and ensures resources focus on the areas with the greatest operational and financial impact.
2. Create Structured Mentorship Programs
Once critical knowledge and at-risk employees are identified, structured mentorship programs help ensure it is systematically transferred. Pairing experts with successors 18–24 months before retirement allows repeated, hands-on exposure, guided by a knowledge transfer checklist to capture key skills, insights, and decision-making patterns. When implemented early and consistently, mentorship transforms informal expertise into measurable, transferable knowledge, preparing successors to perform with confidence.
3. Use Video Documentation Strategically
Video documentation presents a powerful tool for capturing experts performing critical tasks in real time. Further, when employees narrate their decisions, viewers gain insight not only into the actions but also the reasoning behind them. Organizing recordings into searchable libraries by equipment or task makes this expertise readily accessible to new hires when needed.
However, while video effectively shows what experts do, it cannot fully capture where they focus their attention or how they visually process information. This limitation underscores the need for methods that record both expert action and perception, laying the groundwork for more advanced knowledge-transfer solutions.
4. Leverage Eye Tracking for Visual Expertise
Eye tracking technology records where experts focus their gaze during real-world tasks, revealing perceptual and decision-making skills that traditional methods often miss. Unlike a standalone video, it shows not just what experts do, but also how they see and interpret their environment.
Key insights captured include:
- Scan patterns – which gauges or components are checked and in what sequence
- Attention dwelling time – what receives a detailed study versus a quick glance
- Visual anomaly detection – moments when “that looks wrong” triggers action
- Attention allocation under time pressure
The process is straightforward: an expert wears eye tracking glasses while performing a task, generating visual attention data. Over time, similarity scores between experts and trainees provide an objective measure of knowledge transfer.
Solutions such as (Viewpointsystem’s) smart glasses have demonstrated how visual attention data complements documentation and mentorship, helping preserve expertise, support scalable training, and reduce onboarding time. Applications span maintenance, quality inspections, equipment monitoring, and safety-critical operations across aviation, railway, and industrial settings.
Technology note: Solutions like Viewpointsystem have pioneered this approach in aviation, manufacturing, and defense sectors as well.
5. Offer Flexible Retirement Transitions
Retaining retiring experts on a part-time or project-based basis provides another way to preserve critical knowledge. Transitioning experienced employees into mentorship, training, or consulting roles allows organizations to maintain access to decades of expertise without full-time commitments.
This approach strengthens operational resilience: companies retain essential tribal knowledge, and retiring employees can continue contributing.
Measuring Your Knowledge Transfer Success
Evaluating the effectiveness of knowledge transfer initiatives requires tracking practical and measurable metrics. For programs that use eye tracking, visual attention pattern similarity scores provide an objective measure of whether trainees are learning to see and prioritize information like experienced operators. Indicators such as safety incidents, quality defects, and overall productivity demonstrate the tangible impact of these efforts on operational performance. By combining these measures, manufacturing leaders can assess both effectiveness and return on investment, ensuring that critical expertise is fully retained and ready to support the next generation of workers.
Taking Action: Where to Start
The retirement wave across Europe is happening now, and losing tribal knowledge is no longer a future concern but an immediate operational risk. By combining the mentioned strategies, organizations can systematically capture expert insight and make it accessible to the next generation of workers, while minimizing errors, accelerating training, and supporting continuous operations.
Want to explore how eye-tracking can preserve your team’s visual expertise? Learn how Viewpointsystem helps industrial companies document critical knowledge before it retires:
