What Decision Changes?

What Decision Changes?

A committee sits for ten hours.

Months of analysis have been distilled into a deck. Most of it survives perhaps ten minutes of discussion. Someone remarks that there is too much information.

Someone proposes a dashboard. By the following quarter, analysts are explaining the dashboard and engineers are tending to it like gardeners preserving a delicate species.

Everyone is busier.

The business is not obviously different.

Large organisations rarely suffer from a shortage of data. They suffer from having too many ways to avoid deciding.

The useful question is surprisingly plain:

What decision becomes different if I know this?

If the answer is none, the information may be interesting, reassuring, or politically useful. It is not economically useful.

Institutions have a peculiar talent for mistaking accumulation for progress. They collect reports, metrics and dashboards the way anxious people keep receipts: proof that something happened, even if nothing changed.

Complexity, meanwhile, is stubborn. Compress a hundred measures into a single score and it does not disappear; it merely changes address, where another small bureaucracy waits to explain why the score moved by 0.3 points.

Imagine running the organisation as a plumber runs a van.

What must be known to win the next customer, earn the next dollar, and survive another year?