Explains outcome, control and activity metrics
Outcome metrics measure the state a goal names, control metrics whether controls ran, activity metrics what the programme did; every metric measures a goal.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 97% | Not shown |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 98% | 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: Outcome metrics measure the state a goal names, control metrics whether controls ran, activity metrics what the programme did; every metric measures a goal.
How it is assessed: Answers a written question on the kinds of governance metric correctly
Related knobits
Needed for
- G-601 Recognises an activity count presented as an outcome
- G-603 Recognises a governance metric with no owner
- G-606 Recognises a metric measuring no goal
- G-607 Recognises a strategy goal no metric measures
- G-614 Recognises duplicate governance metrics
- G-631 Replaces an activity metric with an outcome metric
All 21 knobits of Build the governance scorecard.
Source: Practice the stage 6 reference and review checklist rest on