Recognises a concern no viewpoint frames
A concern framed by no viewpoint: the description will not answer it.
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 | 56% | Not shown |
| gemini-3.5-flash-lite | Low cost | 48% | Not shown |
| gpt-6-luna | Low cost | 57% | Not shown |
| claude-haiku-5-5 | Low cost | 53% | 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 concern and the viewpoint that answers it
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CN-003 "Can we cut licence costs?", addressed_by: [] Acceptable: Framed by a deployment/cost viewpoint, or recorded as out of scope with the stakeholder's agreement
Also known as: Concern no viewpoint addresses
Related knobits
Builds on
All 17 knobits of Frame stakeholder concerns and architecture principles.
Source: Review checklist 01-concerns-principles, row 3 (42010)