Recognises a missing or wrong requirement type
No type, a value outside the seven in the schema, or a type that does not match the statement. The type decides where the requirement lands later.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 20% | Not shown |
| gemini-3.1-pro-preview | Flagship | 33% | Not shown |
| gpt-6-astra | Flagship | 20% | Not shown |
| claude-fable-5-1 | Flagship | 21% | Not shown |
| gemini-3.8-flash | Mid tier | 21% | Not shown |
| gpt-6.1-sol | Mid tier | 19% | Not shown |
| claude-sonnet-5-5 | Mid tier | 22% | Not shown |
| gemini-3.5-flash-lite | Low cost | 36% | Not shown |
| gpt-6-luna | Low cost | 20% | Not shown |
| claude-haiku-5-5 | Low cost | 19% | 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 requirement and the type its statement implies
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: DR-009 "Payment volumes reach ninety thousand rows a year." with type: reporting Acceptable: type: volume. A requirement for a report becomes one requirement per question the report answers (row 32), each typed by what it asks for.
Also known as: Type missing or wrong (data requirement)
Related knobits
Builds on
All 47 knobits of Capture data requirements.
Source: Review checklist 01-requirements, row 17; 29148 5.2.8 (type); REQ-013, REQ-014