Recognises a data principle with no rationale or implications
The statement alone; the reader cannot tell why, or what it changes. Principles without implications are not applied, because nobody can see where they apply.
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 | 61% | Not shown |
| gemini-3.5-flash-lite | Low cost | 48% | Not shown |
| gpt-6-luna | Low cost | 62% | Not shown |
| claude-haiku-5-5 | Low cost | 60% | 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 principle and the missing parts
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: DP-008 Data is reusable, no rationale, no implications Acceptable: Rationale ("re-keying customer data caused 40 % of address defects") and implications ("new systems read party data from CRM; they do not capture it again")
Also known as: Principle with no rationale or implications
Related knobits
Builds on
All 25 knobits of Set the data strategy and principles.
Source: Review checklist 01-strategy-principles, row 11 (TOGAF)