We start with how the work really runs. Org charts and job descriptions show the work from the top down. Our method, Tacit Inquiry, is a bottom-up knowledge audit: it asks the people doing the work how it really runs, and records what they know in their own words.
Long-serving people are leaving, and most of what they know was never written down. Each retirement takes workarounds and judgment with it.
An AI tool can only use what someone captured digitally. Given just a task list, it misses the tacit steps experienced people do without thinking.
A curriculum built from duties and tasks teaches the job as listed. New hires still learn the real version tacitly, by trial and error.
Tacit Inquiry captures the unwritten know-how of experienced workers through one-on-one conversations, in their own words, reviewed by them. It turns that knowledge into training content, credentials and AI-ready reference material that a college and its employer partners can use. It extends DACUM, a curriculum method funders already recognize, so new hires learn the job as it is really done, and the knowledge stays when people retire.
How Tacit Inquiry pairs with DACUM, the curriculum method colleges already use, including a proposed pilot.