Placeholder. This article is placeholder copy written to test layout and tone. It is not published research and makes no factual claims.
When a standard fails, it rarely fails all at once. This piece describes how drift tends to build in small, individually reasonable deviations, and why a system that looks only occasionally is poorly placed to see it.
Adherence falls slowly after training
If adherence to a standard is high in the weeks after people are trained on it and lower in the months that follow, the gap opens slowly and quietly. The exhibit uses illustrative values to show how that pattern will be presented.
In this illustrative line, adherence to standard work falls to 71% by Q4 after retraining
Share of observed tasks done to the written standard, one line, by quarter after the last retraining, %
| Category | Value |
|---|---|
| Q1 | 92% |
| Q2 | 84% |
| Q3 | 77% |
| Q4 | 71% |
Note Values are placeholders chosen to demonstrate the exhibit format. Time runs left to right, so bars are not sorted by value.
Source Illustrative data; not a research finding
Where to look first
The first signal of drift is usually a routine that still happens but takes less time, or a check that is still signed but no longer observed.
Flagship report
The self-running plant
How a plant’s management system could run and assess itself every shift, and tell leaders where it is drifting.