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Shadow learning: how to turn informal knowledge into scalable training
Maialen Carrasco
Customer Success
Scalability
Shadow learning: how to turn informal knowledge into scalable training
Shadow learning is the informal learning that happens outside official training. It's real and current, but also invisible, inconsistent, and impossible to scale until it's captured and structured.
A new employee has a question about how a specific incident gets handled. They don't open the LMS or look up the SOP: they turn to the colleague next to them and ask. Someone else has made a cheat sheet in a notebook with the five steps nobody explained. A third person found the answer in a chat thread from eight months ago.
That's shadow learning: the learning that actually keeps the operation running, but shows up in no training plan. It's worth distinguishing from onboarding shadowing (learning by physically following a colleague during your first days): shadow learning isn't a phase, it's a constant, silent current running through the entire workforce.
In this article we explain what shadow learning is, why it appears, what it costs to leave it unmanaged, and how to turn that informal knowledge into structured, scalable training without killing what made it useful.
Shadow learning is all the learning employees do on their own, outside official channels, to solve what formal training doesn't cover. Asking a colleague, checking a chat, watching a video online, jotting down tricks, learning by trial and error.
It's not the same as onboarding shadowing. Shadowing is a one-off, organized activity; shadow learning is diffuse and permanent. Nor is it a sign of indiscipline: employees don't do it to bypass the system, but because the formal system is slower than their real need to know.
The key signal is this: when someone needs to learn something to do their job today, they almost never turn to official training first. The data backs it up: around 80% of workers say they turn to their peers to quickly learn what they need to do their job better¹.
Shadow learning isn't the problem; it's the symptom that formal training doesn't arrive where and when it's needed. And it has real strengths no intranet matches: it's contextual (it answers the exact situation), it's current (it reflects how the work is actually done today), and it's immediate (it resolves in seconds).
The common mistake is trying to eliminate it with more policy or more mandatory courses. It doesn't work, because it doesn't address the cause. The useful question isn't "how do I stop people from learning on their own?" but "how do I capture the knowledge that's already circulating and make it available to everyone?"
Shadow learning is valuable, but as long as it stays invisible it builds up three quiet costs:
None of these costs shows up on a budget line, which is why they rarely get addressed until they blow up: an audit that reveals inconsistent criteria, an error that repeats across several plants, an absence that leaves a gap nobody knew how to fill.
The goal isn't to replace shadow learning, but to formalize what works without losing its agility. The process has four steps.
Before capturing anything, locate the hotspots. Who does everyone ask? Which questions keep coming up in the chats? Which tasks have homemade cheat sheets circulating? Those are the points where official training doesn't reach and informal knowledge is covering the gap.
The useful knowledge is already inside the company, in the heads of internal experts (the SMEs, or subject-matter experts). The bottleneck was never having it, but turning it into content without stealing half a week from that person. A structured 30-minute conversation with the expert is usually enough to extract a procedure that had gone undocumented for years.
This is where informal knowledge becomes scalable training. The key is the format: not a 40-page manual nobody will read, but short, visual modules that are easy to update. AI-generated video makes this step feasible for a small team, because it lets you go from a script to a consumable module in hours and update it when the process changes, without re-recording. That way the content stays as alive as it was in its informal version.
Capturing once isn't enough: shadow learning will keep being generated, because processes change. The mature move is to create a channel for the workforce to flag what's missing or outdated, and an update routine that picks it up. That decision — which tool distributes the training and which one produces and maintains it — is worth making deliberately; we break it down in our decision guide between an LMS and an AI video platform.
Shadow learning isn't a discipline failure to be corrected, but proof that your teams want to learn faster than formal training lets them. Trying to eliminate it wastes the best source of operational knowledge the company has.
The mature organization does the opposite: it listens to where it happens, captures what works, and returns it structured, so that no longer depending on who you ask doesn't mean no longer learning fast. Informal knowledge becomes, this way, an asset that scales rather than a secret that walks out the door.
No. Onboarding shadowing is an organized, temporary activity: a new employee accompanies a veteran during their first days. Shadow learning is the informal, permanent learning the whole workforce does on its own (asking, checking chats, trial and error) to solve what formal training doesn't cover.
No, and it would be counterproductive. It's a source of contextual, current knowledge. The goal is to capture what works and structure it so it's available at scale, not to ban people from learning on their own.
The starting point is the people everyone asks. A structured conversation with those internal experts lets you extract the real procedure and turn it into a training module. AI video technology cuts the production work, but the input is always the knowledge of whoever already holds it.
