Your Newest Hire Isn't the Problem
It's tempting to blame declining quality outcomes on the people doing the work. The data says otherwise.
Three Gaps, Compounding
2.8 million manufacturing job openings are projected through 2033 from retirements alone. Separately, roughly a third of the adult population now scores at the lowest measured levels of numeracy and adaptive problem solving, and 28% at the lowest level of literacy. And 79% of manufacturing leaders now call the labor shortage their single biggest challenge — while only 29% expect their quality headcount to actually grow.
Why This Isn't a Younger-Workers Problem
None of this is a verdict on any individual engineer, new or experienced. It's what happens when the people who knew the standards are leaving faster than the knowledge gets captured — only 8% of organizations consistently capture knowledge from retiring employees — and the people staying are asked to do more, with less support, at a lower average skill floor than a decade ago.
Where the Institutional Knowledge Has to Live
If the knowledge is leaving faster than it's being captured, it has to live somewhere other than in the next senior hire's head. That's the argument underneath everything we build: encode the standard once, into the workflow, so a first-year engineer is checking work against the same rubric a twenty-year veteran would use.
Want to see how it holds up on your own documents? Book a demo: mad-ai.com/book-a-demo
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