Individual skill
pm-okr-metric-validity-audit
Run a structured validity audit on OKRs, KPIs, North Star Metrics, or any success-metric set. Produces a severity-rated issue list with concrete fixes — catches vanity metrics, unfalsifiable key results, outputs disguised as outcomes, gameable targets without guardrails, and metrics disconnected from business value. Use when reviewing OKRs, goals, KPIs, dashboards, or success metrics, or as a validation step after defining metrics in a spec, roadmap, or strategy doc.
pm/audits/okr-metric-validity/SKILL.md
Source commit 5007cd0241ccaa51ae2e4681f9618912dc10e239
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Jul 2, 2026
- License
- MIT
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- ai-skills Repository topic
- claude-skills Repository topic
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# OKR & Metric Validity Audit Skill
## What this skill changes vs. default behavior
By default, Claude reviews OKRs by polishing wording and nodding at structure — it rarely challenges whether a key result is *falsifiable*, whether a metric is *vanity*, whether an "objective" is just a feature launch in disguise, or whether hitting the target could actually *harm* the product. This audit forces four things: every finding names the violated principle, every metric is tested for decision-usefulness ("what would we do differently if this number changed?"), every optimization target is checked for gaming exposure and guardrails, and findings come severity-rated with concrete rewrites — not general encouragement.
This is an **evaluative** skill: it auto-runs whenever OKRs, KPIs, or success metrics are present in work being reviewed or generated.
**Scope discipline.** When invoked directly (the user named this audit), review **only this concern** — don't pull in sibling audits. It runs alongside other lenses only when the `pm-product-review` orchestrator or a generative skill calls it under `docs/orchestration-policy.md`, where it sits in **an artifact-specific lens — offered (when metrics/OKRs are defined)**. Explicit scope always wins.
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## The framework — what to check and what a violation looks like