Every plant has a few people the line can't run without. They know how to read the gap when the drawing calls for a shim stack "as required." They know which connector feels seated before it has latched, and they give it the push, pull, and listen for the click that a newer hand skips. They know where the harness has to stay clear of an edge because they saw one chafe through years ago. None of that is in the work instruction, and most of the people who carry it are within a few years of retirement.
Tribal knowledge in manufacturing is the know-how experienced workers carry that the documented procedure leaves out, the checks, adjustments, and judgment calls that make the job come out right. You capture it by finding the jobs only your experts can do, watching them do the work, turning what you see into a structured instruction, and putting that draft back in front of the expert before it goes live. The demographic picture explains why this can't wait, and the method below is how to do it.
Most plants already try something when a senior person gives notice, and each approach does some good.
Interviews and knowledge-transfer sessions. Sitting down with the expert surfaces the stories, the near misses, and the history of why a step is done the way it is. What it rarely surfaces is the routine judgment they no longer notice making. Ask a 30-year assembler what they check before closing a housing and they'll describe the checks they remember learning. The ones that became habit don't come up, because to them it's just how the job is done.
Shadowing. Pairing a new hire with the expert transfers more than any interview, because the new person sees the work. It also moves one person at a time, takes the expert off their own work, and passes along the workarounds with the good habits. When the expert leaves, whatever the apprentice didn't absorb leaves too.
Writing it down. A binder or a Word document gets the expert's knowledge onto paper, but it's usually written once, by someone who isn't a writer, near the end of their time at the plant. Nobody owns it afterward. When the process changes, the document doesn't, and the floor goes back to asking whoever has been there longest.
Review after release. Even when an engineer turns the material into a proper instruction, the expert often sees it for the first time on the floor, after it's released. Mistakes they'd have caught in thirty seconds reach production, and the workaround becomes the real process.
Each of these approaches collects knowledge in one form, a conversation, a memory, or a document, while the next worker needs it in another, an instruction at the station, at the step where it matters. The translation between the two either never happens or happens once and goes stale. Plants put real effort into capture and still end up with knowledge the next shift can't use.
So the method has to capture knowledge in the form the next worker will follow, and keep the expert involved until it's right.
Start with people, then jobs. List who is within a few years of retirement and which jobs only they can do well, or which shifts lean on them when something goes wrong. Then ask a simple question about each job. If this person were out tomorrow, what would go wrong first? The answer points to the knowledge worth capturing, and it's usually a check or an adjustment rather than a whole procedure.
Watch the expert do the job and record it, because what they do is more complete than what they say. Ask them to say out loud what they're checking as they go, and collect what they already keep at the bench, such as the old procedure with their notes on it. How to record an expert so the video is usable is covered in recording your experts on video before they retire.
Turn the recording and the notes into an instruction with steps in the order the work is done, a visual for each step, and the expert's checks placed at the step where they apply. A check placed at the step where it applies is far more likely to be done than one buried in a closing paragraph. A recording also catches the occasional shortcut, such as a step the expert skips because they've done it ten thousand times. The engineer keeps the checks and adjustments that make the job come out right and writes the skipped step back in.
Before anything goes live, the expert reviews the draft on the job it describes. This is where the instruction gets corrected by the person most qualified to correct it, while they're still there to do it. Then it's released under the same review and version control as any other instruction, so the floor builds to one current version. After go-live, the people doing the work need a way to flag what's wrong, so they keep correcting it after the expert has left.
Doing this for one expert is a good start. Doing it for every expert who matters takes a knowledge capture program with an owner, a priority list, and a cadence.
Step three is the slow one. Turning a recording and a stack of notes into a structured instruction is skilled work, and the engineers who can do it are already behind. Canvas Envision is built to take that weight off, and to make step four happen before release instead of after.
Instructions are authored in Envision Creator, with Evie, the AI built into Canvas Envision, doing the conversion. Evie turns a video of the job or a PDF of the old procedure into a structured, step-by-step draft. Where a CAD model exists, Evie also recommends an assembly sequence from the model and the context you add, and the engineer reviews and adjusts it before Evie builds the instruction. The engineer's time goes into the checks, the order, and the judgment about what a new hire needs, rather than into retyping and formatting. In our internal tests, Evie turned a 20-page PDF into a structured draft in under 10 minutes, against 6 hours by hand.
For step four, the expert can review in either of two places. They can take part in a formal review in Envision Creator, commenting in context on the draft. Or they can work through the instruction as a worker will see it in Envision Operator and leave feedback on the exact part or step. Either way, the feedback is captured and reaches the author.
The Institute for Supply Management's (ISM) manufacturing employment index moved back into expansion in July 2026 after 33 months of contraction, and it has stayed there since. Plants are hiring into a workforce that spent nearly three years shrinking, and the veterans who would have trained new hires alongside the line are the ones leaving. The people arriving now need instructions that are clear, accurate, and current from their first day, because there may be no one standing next to them to fill the gaps.
When an experienced worker retires, they don't just take labor off the floor. They take decades of wisdom that was never captured. The method above only works while they're still in the building.
Tribal knowledge has always been how manufacturing really runs, and it has always passed from one person to the next by working side by side. The timing no longer allows that handoff. Capturing it as structured, reviewed instructions keeps what your experts know working for the people who come after them.
See how Evie turns recordings and existing documents into structured instructions, or how on-the-job training works when the instruction and the training are the same thing. Request a Demo and bring the job your plant would miss most.
Garth Coleman is CEO of Canvas Envision, where he is changing how manufacturers capture, share, and execute the knowledge their best people carry. He brings nearly three decades in enterprise software spanning CAD, Product Lifecycle Management (PLM), and 3D communication, including senior leadership at Dassault Systèmes.
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