How to Capture Expert Knowledge Before Your Best Operator Retires

Stefan has worked on Line 4 for 23 years. He knows every quirk of the equipment — the exact sound it makes before the feed system trips, the workaround for the packaging seal that never quite worked as designed, the maintenance sequence that takes 20 minutes instead of 90. Stefan is retiring in six months. If you're a plant manager or operations director, you've faced this situation — or you will. And the conventional responses (shadowing programs, manual documentation, recorded trainings) consistently fail to capture the depth of knowledge that experienced operators hold. ## Why Traditional Knowledge Transfer Fails **Shadowing**: A new hire follows Stefan for a few weeks. They absorb some knowledge, but the informal, conversational nature of shadowing is inconsistent. What gets taught depends on what situations arise during that period, and on Stefan's teaching instincts. **Written manuals**: Stefan writes down what he knows. Two problems: writing is not Stefan's medium, and he can't write down what he doesn't know he knows (tacit knowledge — the feel of the machine, the sound that signals a problem). **Recorded trainings**: A video of Stefan explaining his work captures more than writing, but it's passive, unsearchable, and doesn't help an operator at the machine during a fault at 2 AM. ## A Better Approach: Contextual Recording The most effective knowledge capture happens in context — Stefan recording a guide while actually doing the process or fault resolution, not describing it in a meeting room. Here's what this looks like in practice: ### Step 1: Identify the Critical Knowledge Before any recording, map what Stefan knows that isn't documented elsewhere: - Top 10 recurring faults and their fixes - Processes that others get wrong - Equipment quirks that aren't in the OEM manual - Quality checks that catch problems before they become defects This mapping takes 30–60 minutes and typically surfaces 15–25 pieces of critical knowledge. ### Step 2: Record in Context For each item on the list, Stefan records a short video while performing or demonstrating the process. This isn't a production — it's a 3–5 minute recording on a phone, in the actual work environment, showing what he does. The contextual details that emerge in video capture — the visual cues, the physical actions, the "and this is the important bit" moments — cannot be replicated in written documentation. ### Step 3: Structure and Verify Raw recordings become structured, step-by-step guides with screenshots extracted from the video. The draft guide goes back to Stefan for review — he corrects any missed steps and adds decision points ("if the pressure is still low after step 3, check the bypass valve"). ### Step 4: Test With a New Operator Before Stefan leaves, have a less experienced operator follow the guide to resolve a real fault — with Stefan observing but not helping. This surfaces any gaps, and it builds Stefan's confidence that his knowledge has been effectively captured. ## The Multiplier Effect Knowledge captured from one experienced operator doesn't just help their direct replacement. It becomes the training material for every new hire, the reference for every night shift, and the foundation for spreading best practice across multiple sites. One food processing customer captured guides from their three most experienced technicians across two weeks. Within three months, their average MTTR had dropped by 67% and new technicians were independent within their first week. Stefan's retirement doesn't have to mean a knowledge crisis. It can be the trigger that makes your operation more resilient than it was when Stefan was there. --- *Tems.AI helps manufacturing teams capture, structure and deploy expert knowledge at scale. [Book a demo](https://calendly.com/podsekin/121) to see how it works for maintenance and quality operations.*