Recognises two data products answering one question differently
Overlapping products with different answers.
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 | 75% | Not shown |
| gemini-3.5-flash-lite | Low cost | 11% | Not shown |
| gpt-6-luna | Low cost | 74% | Not shown |
| claude-haiku-5-5 | Low cost | 40% | 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: One product and one metric definition
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: DPR-01 and DPR-04 both give "average deposit balance", one from month-end balances Acceptable: One product, one definition (KP id)
Also known as: Two products answering one question differently
Related knobits
Builds on
All 14 knobits of Design the bus matrix and data products.
Source: Review checklist 03-bus-matrix-data-products, row 6 (DMBOK)