Score your AI analytics reliability.
Ten questions, about two minutes. You'll get a reliability score, a breakdown across the four layers, and the one to fix first. Nothing is stored.
- 01
Does your AI analyst answer from a governed semantic layer, or from raw tables?
- 02
Are your core metrics defined once and reused everywhere?
- 03
Could one business term (say 'active user' or 'revenue') map to several different metrics or columns?
- 04
Do you check your definitions for ambiguity before the AI uses them?
- 05
Do you benchmark the analyst against a fixed set of real business questions?
- 06
Do you re-run the same questions and check the answers stay consistent?
- 07
Do you know your silent-error rate — how often it is confidently wrong?
- 08
Can the analyst refuse, or say 'I don't know', when it should?
- 09
Do answers show the queries or evidence they rest on?
- 10
Do you block unsafe or unsupported answers before users see them?
0 / 10 answered