# Product Metrics

> Define a complete product metrics framework: North Star metric selection, input metrics, dashboard design, alert thresholds, and — for AI products — a four-layer AI metrics stack (model quality, operational, product-level, business). Use when setting up metrics for a new product, choosing a North Star, designing a dashboard, or defining KPIs for an AI feature.

## Facts
- Page: https://tashan.sh/capability/skill-tarunccet-product-metrics
- tashan id: skill:tarunccet/product-metrics
- Source: https://github.com/tarunccet/pm-skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 95.0
- Freshness: 90.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r product-metrics ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

---
Measured 2026-08-25 by tashan (https://tashan.sh) from public evidence. Scorer s5.