Main idea

A stakeholder asking "why this decision?" expects an answer of a precise kind. "Because the assistant recommended it" is not one, and this is not a matter of trusting the machine: the same answer would be inadmissible from a colleague.

What makes a conclusion defensible is being able to walk it backwards. From the synthesis you go back up to the state of the context that produced it; from that state to the working sessions that built it; from those sessions to the raw sources — the interview, the article, the data. Each layer must have been kept separately and dated, otherwise the climb stops at the first missing link and the conclusion turns back into a well-phrased opinion.

This is the evidentiary regime of scientific practice, transposed to product management work: a conclusion is not worth its apparent solidity, it is worth the fact that you can trace it back to the method and the data that produced it. The memory of a working system is not a black box you query, it is a chain you walk.

Why it matters

This gives auditability an immediate practical value, where it usually passes for a compliance requirement. What it protects here is the ability to win agreement in a decision meeting.

It also says what is lost when you work with an assistant without keeping any trace of the exchange: the conclusion survives, its foundation does not — and all that is left is the trust you place in whoever reports it.

Nuances and limits

Tracing back assumes you planned for it upstream: you do not reconstruct after the fact a chain you did not write as you went. It is a permanent constraint paid for a rare use.

And traceability does not guarantee correctness. A perfectly documented path can lead from a false source to a false decision, with every step visible.

Open questions

• To what level of detail should the path be kept, given that exhaustiveness makes tracing back as expensive as rebuilding?