pm-metrics

# pm-metrics — Product metrics review Part of the Personal Corp framework — running a one-person business through AI agents. Systematically review product metrics, identify trend changes, locate root causes, output action recommendations. Includes North Star decomposition, retention diagnostics, funnel methodology, and A/B experiment reading. ## Inputs | Field | Required | Notes | |---|---|---| | Metric data | yes | Excel / CSV / pasted table / verbal description | | Cycle | no | Weekly / monthly / quarterly review; default weekly | | Focus | no | Full review / single-metric anomaly / experiment readout | | Business context | no | Releases, campaigns, incidents in the period | **Mode:** full data → complete review; single-metric change → focused anomaly analysis. ## Step 1 — Data integrity check - Confirm time coverage (current vs comparison period) - Confirm metric coverage (which North Star / L1 / L2 are present) - Flag missing critical data ## Step 2 — North Star metric system **Decomposition:** North Star → L1 → L2. **L1 dimensions:** - **User growth:** DAU/WAU/MAU, new, returning - **User engagement:** core action frequency, session length, feature reach - **User retention:** D1 / D7 / D30 - **Conversion efficiency:** signup → activation → paid step-by-step rates - **Business value:** paid rate, ARPU, LTV - **Satisfaction:** NPS, complaint rate, ratings **North Star selection guide:** | Product type | Recommended NSM | Typical L1 | |---|---|---| | Social / co...