ai-conversation-impact/tasks/07-positive-metrics.md

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# Task 7: Define positive impact metrics
**Plan**: measure-positive-impact
**Status**: DONE
**Deliverable**: New section in `impact-methodology.md`
## What to do
1. Add a "Positive Impact" section to `impact-methodology.md` defining
proxy metrics:
- **Reach**: number of people affected by the output.
- **Counterfactual**: would the result have been achieved without
this conversation? (none / slower / not at all)
- **Durability**: expected useful lifetime of the output.
- **Severity**: for bug/security fixes, severity of the issue.
- **Reuse**: was the output referenced or used again?
2. For each metric, document:
- How to estimate it (with examples).
- Known biases (e.g., tendency to overestimate reach).
- Confidence level.
3. Add a "net impact" formula or rubric that combines cost and value
estimates into a qualitative assessment (clearly net-positive /
probably net-positive / uncertain / probably net-negative / clearly
net-negative).
## Done when
- The methodology document covers both sides of the equation.
- A reader can apply the rubric to their own conversations.