Originally written in French. Translated by AI — the meaning has been preserved, not the prose.
Main idea
When a decision turns out badly, the spontaneous diagnosis is a shortage: we should have had more data, more interviews, more measurements.
The defect is often elsewhere. The information was available, but it was never tested against itself: one important piece of customer feedback contradicted another, a technical constraint changed the scope of the problem, a commercial opportunity pushed one way and the product reality the other, an appealing assumption rested on thin evidence.
What was missing wasn't the material, it was the test — the time to put the signals face to face before drawing a decision from them.
Why it matters
The diagnosis changes the remedy. If the problem is volume, you collect more — and make things worse, since you are adding untested signals to untested signals.
It also gives a criterion for knowing when a decision is ready: not when you have everything, but when the contradictions among what you have been seen and settled.
Nuances and limits
Real shortages of information exist, and confusing them with a failure to test leads to deciding on nothing while believing you have confronted.
And the testing has an end: past that, confronting becomes a way of deferring.
Open questions
- How do you recognize, before the decision, that you are facing a real shortage rather than insufficient testing?