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March 31, 2025 · The Bloomfield Team

How to Build a Culture Where People Share Knowledge

A machinist with 28 years of experience knows that the Mazak drifts 0.0003" on the Z axis after four hours of continuous cutting. He compensates automatically. Nobody else on the floor knows this because nobody asked, and he never thought to write it down. When he retires next year, that knowledge leaves with him, and the shop will rediscover it the hard way through scrapped parts and wasted hours.

This pattern repeats in every manufacturing operation. The knowledge that makes a shop run efficiently, the workarounds, the material behaviors, the fixturing tricks, the customer preferences that never made it into the order notes, lives inside individual people. When those people leave, the knowledge evaporates. According to a 2023 study by the Manufacturing Institute, 77% of manufacturers identified knowledge transfer as a critical workforce challenge.

Why People Do Not Share What They Know

Knowledge hoarding in manufacturing is rarely intentional. Three structural factors explain most of it.

First, there is no time. A machinist running three machines with jobs due Friday does not have 30 minutes to document a setup trick. Production comes first. Documentation feels like overhead. So the knowledge stays in the machinist's head, where it is immediately useful to them and invisible to everyone else.

Second, there is no system. Even when an operator wants to share what they know, where does it go? A Post-it on the machine? An email to the supervisor? A note in the ERP that nobody will read? Without a structured, searchable place for floor knowledge, the effort of sharing feels wasted because the information disappears into the same scattered systems that already make everyone's job harder.

Third, there is no incentive. In most shops, being the person who knows how to run the difficult jobs carries job security. The machinist who is the only one who can set up the five-axis for aerospace tolerances is the last person to be laid off. Sharing that knowledge broadly reduces their perceived value. The incentive structure, unintentionally, rewards keeping expertise private.

Change the Structure, Not the People

Telling people to share more is useless without changing the systems that make sharing difficult and unrewarding. Three structural changes move the needle.

Make documentation fast. If capturing a setup note takes 30 seconds, operators will do it. If it requires logging into a system, navigating four screens, and typing a paragraph, they will not. The most effective knowledge capture tools in manufacturing are the ones that feel like texting, short entries, tagged to a machine and a job, with the option to attach a photo. The bar for entry must be lower than the effort of not sharing.

Make shared knowledge visible and useful. When a machinist documents a tip and then sees another operator use that tip successfully two weeks later, the behavior reinforces itself. The knowledge had value. The sharing mattered. Systems that surface operator notes at the moment they are relevant, during setup for a similar job, for example, create this feedback loop automatically.

Reward the behavior. Some shops include knowledge sharing in their performance reviews. Others track contributions to the shop's knowledge base and recognize top contributors monthly. One shop in our network gives a $50 bonus for every documented tip that gets used by another operator, verified by the setup sheet. The mechanic does not matter as long as the message is clear: sharing what you know is part of the job, and the company values it.

Start with the People Who Are Leaving

The most urgent knowledge transfer involves the people closest to retirement. In a shop with three machinists over 58, the clock is running on decades of accumulated expertise. A structured knowledge capture process for these individuals should start 12 to 24 months before their anticipated departure.

The format that works best is recorded interviews combined with observed work sessions. Have the senior machinist walk through their most complex setups while being recorded. Ask them to narrate their decisions. What are you checking? Why this tool and not that one? What would you do differently on a different material? What has gone wrong on this part in the past?

Those recordings, tagged by machine, part family, and material, become a searchable knowledge resource that the next generation of operators can access on demand. A three-hour recording session with an experienced machinist can capture information that would take a new operator years to accumulate through trial and error.

Technology as the Connective Tissue

The knowledge management tools that work in manufacturing share three characteristics. They are fast to use, because floor workers will not tolerate slow software. They are contextual, surfacing relevant knowledge at the point of need rather than requiring a separate search. And they connect to the systems the shop already runs, pulling machine, job, and customer context from the ERP to organize knowledge automatically.

For a comprehensive look at how these systems work in practice, see our guide to manufacturing knowledge management.

A culture of knowledge sharing does not require a personality change from your team. It requires systems that make sharing easier than hoarding, incentives that reward the behavior, and visible evidence that the shared knowledge gets used. Build those three things, and the culture follows.