Ask your best assembler to write down how they do a job and you'll get a page that leaves out most of what matters. Ask them to do the job while someone records it and you'll see all of it, including the pause before a check, the way they hold the part, and the step they do in a different order from the procedure because it works better.
A video of an expert doing the job can become a work instruction. The recording captures what the expert actually does. The work is in breaking it into steps a worker can follow at the station, adding what the camera couldn't capture, and releasing the result under the same control as any other instruction.
Most plants that record their experts follow the same path. Someone records the job and loads the file into a video editor. Then the real work starts. They watch it through, decide what to keep, make cuts, add chapters, and maybe transcribe the narration so the key points can be pulled out as text. Then they have to decide where it lives. It might go into a folder on a shared drive, into the training system, or onto an internal site where someone sets up chapter markers so people can jump to the part they need.
That's a lot of work, and it's necessary work. A well-edited video is a good training asset, and new hires learn a lot from watching an expert do the job. The trouble starts when the same video has to guide someone on the line.
Can the worker find the moment they need? A worker halfway through a build needs step nine. In a 20-minute video, even with chapters, that means scrubbing back and forth with gloves on while the line waits.
Does it include everything the job needs? A recording shows what the expert did on the day it was made. It doesn't include the machine setup that happened before the camera started, the quality check that's done at a different station, or the reading the worker has to record. Those steps belong in the instruction even though they were never on camera.
Does it show what to check? A video shows the expert's hands, but not always what they're looking for when they pause. The check that matters can be invisible on screen.
Who approved it, and is it still current? A video in a folder has no review, no release, and no version history. Nobody can say whether it's the right way to do the job, or whether it still matches the product after the last design change.
A recording is the best raw material for capturing an expert. Answering those questions means turning it into an instruction, with the job broken into steps, the right segment of video with each step, the checks called out where they apply, the steps the camera missed added in, and a review and release behind it. Plants that stop at the video have captured the knowledge and left it in a form the next worker can barely use on the line.
The recording doesn't need to be polished, but a few habits make the result better.
Pick a job that would hurt most to lose. Start with the jobs only this person does well, or the ones where mistakes are expensive. A knowledge capture program keeps that list current, and the four-step method for capturing tribal knowledge shows where recording fits.
Record one job, start to finish. Keep each recording to a single job, from the first part picked up to the last check before it moves on. Variations, such as a different configuration or a different fixture, get their own recording.
Record what the worker sees. Keep the hands and the part in frame, from about where the worker stands. Make sure there's enough light to see fasteners, connectors, and labels clearly.
Ask the expert to talk through the job. Have them say what they're doing, what they're checking, and why, as they go. What they say becomes part of the instruction, so the spoken checks matter as much as the picture.
Keep the old instruction with the recording. If a written procedure exists, keep it with the video. It tells Evie what the steps are meant to be, and it often holds setup and preparation the expert never mentions on camera.
In Canvas Envision, none of the editing work happens. There's no cutting, no chaptering, and no transcribing by hand. In Envision Creator, the recording goes to Video to Work Instruction, an Evie AI Agent. Evie, the AI built into Canvas Envision, listens to the recording and transcribes it, works out the steps the expert performed, and writes each one up. It cuts the video down to the segment that shows each step and lays the instruction out the same way every time, so every instruction built this way looks and works alike.
If there's an existing written instruction, Evie uses it as well. The document tells Evie what the steps are meant to be, so it isn't inferring them from the video alone, and it fills in setup and preparation the expert didn't say out loud. Together, the documented procedure and the recording of how the job is really done make a more complete instruction than either one could alone.
The engineer then enriches the draft with what the video couldn't capture. That means adding preparation steps, machine setups, quality checks, critical safety or quality information, and steps where the worker records a reading or confirms a result in Envision Operator.
The expert checks the draft, either in a formal review in Envision Creator or by working through it as a worker will see it in Envision Operator and leaving feedback on any step that's wrong. Either way, the feedback reaches the author. Once released, the instruction has a version history, and when the job or the product changes, the author updates it and publishes the next version.
All of this changes what the worker sees on the line. When they reach step nine, they get the instruction for step nine and the 20 seconds of video that show it, without scrubbing through the rest. The machine setup, the quality check, and the reading they have to record are there at the steps where they belong, even though none of them was on camera. It's also the reviewed, released version, so everyone on every shift is working from the same instruction.
Where a CAD model of the product exists, the instruction can go further with interactive 3D alongside the video. That's covered in how AI helps manufacturing engineers create work instructions faster.
The hours that used to go into editing, chaptering, and transcribing are gone, because Evie does that part. The expert's contribution is doing the job once on camera and reviewing a draft, so their time goes where only they can help. The engineer's time goes into enriching the instruction rather than producing it. In our internal tests, Evie turned a 10-minute video into a step-by-step draft in about 5 minutes, against 2 to 4 hours by hand.
Those 2 to 4 hours cover only the authoring. An edited video still has to be published somewhere, kept to the current revision, and checked so everyone is watching the right one, and that's a second job on top of the editing. In Canvas Envision, publishing the instruction is the delivery. It's available in the browser through Envision Operator with no further work, and workers open the current published version, so there's no old copy sitting in a folder. That second job goes away too.
A recording made this month, turned into a reviewed instruction, keeps an expert's knowledge working for the people hired after they've retired. It also keeps improving as workers on the floor flag what they find and the author publishes each correction.
For more on capturing from the content you already have, see Evie and content transformation. Request a Demo and bring a recording of a job only one of your people knows how to do.
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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