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+---
+name: metrics-dashboard
+description: "Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. Triggers: metrics dashboard, product dashboard, KPI dashboard, analytics setup, what to track, product metrics, monitoring."
+---
+
+## Product Metrics Dashboard
+
+Design a comprehensive product metrics dashboard with the right metrics, visualizations, and alert thresholds.
+
+### Context
+
+You are designing a metrics dashboard for **$ARGUMENTS**.
+
+If the user provides files (existing dashboards, analytics data, OKRs, or strategy docs), read them first.
+
+### Domain Context
+
+**Metrics vs KPIs vs NSM**: Metrics = all measurable things. KPIs = a few key quantitative metrics tracked over a longer period. North Star Metric = a single customer-centric KPI that is a leading indicator of business success.
+
+**4 criteria for a good metric** (Ben Yoskovitz, *Lean Analytics*): (1) Understandable — creates a common language. (2) Comparative — over time, not a snapshot. (3) Ratio or Rate — more revealing than whole numbers. (4) Behavior-changing — the Golden Rule: "If a metric won't change how you behave, it's a bad metric."
+
+**8 metric types**: Vanity vs Actionable (only actionable metrics change behavior), Qualitative vs Quantitative (WHAT vs WHY — you need both; never stop talking to customers), Exploratory vs Reporting (explore data to uncover unexpected insights), Lagging vs Leading (leading indicators enable faster learning cycles, e.g. customer complaints predict churn).
+
+**5 action steps**: (1) Audit metrics against the 4 good-metric criteria. (2) Update dashboards — ensure all key metrics are good ones. (3) Identify vanity metrics — be careful how you use them. (4) Classify leading vs lagging indicators. (5) Pick one problem and dig deep into the data.
+
+For case studies and more detail: [Are You Tracking the Right Metrics?](https://www.productcompass.pm/p/are-you-tracking-the-right-metrics) by Ben Yoskovitz
+
+### Instructions
+
+1. **Identify the metrics framework** — organize metrics into layers:
+
+   **North Star Metric**: The single metric that best captures core value delivery
+
+   **Input Metrics** (3-5): The levers that drive the North Star
+
+   **Health Metrics**: Guardrails that ensure overall product health
+
+   **Business Metrics**: Revenue, cost, and unit economics
+
+2. **For each metric, define**:
+
+   | Metric | Definition | Data Source | Visualization | Target | Alert Threshold |
+   |---|---|---|---|---|---|
+   | [Name] | [Exact calculation: numerator/denominator, time window] | [Where the data comes from] | [Line chart / Bar / Number / Funnel] | [Goal value] | [When to trigger an alert] |
+
+3. **Design the dashboard layout**:
+
+   ```
+   ┌─────────────────────────────────────────────┐
+   │  NORTH STAR: [Metric] — [Current Value]     │
+   │  Trend: [↑/↓ X% vs last period]             │
+   ├──────────────────┬──────────────────────────┤
+   │  Input Metric 1  │  Input Metric 2          │
+   │  [Sparkline]     │  [Sparkline]             │
+   ├──────────────────┼──────────────────────────┤
+   │  Input Metric 3  │  Input Metric 4          │
+   │  [Sparkline]     │  [Sparkline]             │
+   ├──────────────────┴──────────────────────────┤
+   │  HEALTH: [Latency] [Error Rate] [NPS]       │
+   ├─────────────────────────────────────────────┤
+   │  BUSINESS: [MRR] [CAC] [LTV] [Churn]        │
+   └─────────────────────────────────────────────┘
+   ```
+
+4. **Set review cadence**:
+   - **Daily**: Operational health (errors, latency, critical flows)
+   - **Weekly**: Input metrics and engagement trends
+   - **Monthly**: North Star, business metrics, OKR progress
+   - **Quarterly**: Strategic review and metric recalibration
+
+5. **Define alerts**:
+   - What thresholds trigger investigation?
+   - Who gets alerted and through what channel?
+   - What's the expected response time?
+
+6. **Recommend tools** based on the user's context:
+   - Amplitude, Mixpanel, PostHog for product analytics
+   - Looker, Metabase, Mode for SQL-based dashboards
+   - Datadog, Grafana for operational health
+
+Think step by step. Save the dashboard specification as a markdown document.
+
+---
+
+### Further Reading
+
+- [The Ultimate List of Product Metrics](https://www.productcompass.pm/p/the-ultimate-list-of-product-metrics)
+- [The North Star Framework 101](https://www.productcompass.pm/p/the-north-star-framework-101)
+- [The Product Analytics Playbook: AARRR, HEART, Cohorts & Funnels for PMs](https://www.productcompass.pm/p/the-product-analytics-playbook-aarrr)
+- [AARRR (Pirate) Metrics: The 5-Stage Framework for Growth](https://www.productcompass.pm/p/aarrr-pirate-metrics)
+- [The Google HEART Framework: Your Guide to Measuring User-Centric Success](https://www.productcompass.pm/p/the-google-heart-framework)
+- [Funnel Analysis 101: How to Track and Optimize Your User Journey](https://www.productcompass.pm/p/funnel-analysis)
+- [Are You Tracking the Right Metrics?](https://www.productcompass.pm/p/are-you-tracking-the-right-metrics)
+- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)