Recognises a BI question the data cannot answer
A measure or dimension no source holds.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 67% | Not shown |
| gemini-3.5-flash-lite | Low cost | 61% | Not shown |
| gpt-6-luna | Low cost | 69% | Not shown |
| claude-haiku-5-5 | Low cost | 68% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The missing data and a feasible restatement
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: BQ-004 "why customers leave" - no reason captured anywhere Acceptable: Restated to what is captured, or a data gap raised
Also known as: Question the data cannot answer
Related knobits
Builds on
All 13 knobits of Capture BI requirements.
Source: Review checklist 01-bi-requirements, row 2 (29148 (feasible))