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From pm-product-discovery
Designs product metrics dashboards with North Star, input, health, and business metrics, data sources, visualizations, targets, and alert thresholds.
npx claudepluginhub phuryn/pm-skills --plugin pm-product-discoveryHow this skill is triggered — by the user, by Claude, or both
Slash command
/pm-product-discovery:metrics-dashboardThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Design a comprehensive product metrics dashboard with the right metrics, visualizations, and alert thresholds.
Designs product metrics dashboards with North Star metrics, input KPIs, data sources, visualizations, alert thresholds, and review cycles. Useful for KPI setup, analytics, monitoring plans.
Use this skill when the user asks to "design a metrics dashboard", "what should be on my PM dashboard", "structure our analytics dashboard", "what metrics to track", "what should I put on a product dashboard", "build a metrics framework", or wants to design a coherent set of metrics and dashboard layout that drives good product decisions without creating information overload.
Reviews product metrics with trend analysis, scorecard tables, and actionable insights. Use for periodic reviews, anomaly investigations, target comparisons, or data organization.
Share bugs, ideas, or general feedback.
Design a comprehensive product metrics dashboard with the right metrics, visualizations, and alert thresholds.
You are designing a metrics dashboard for $ARGUMENTS.
If the user provides files (existing dashboards, analytics data, OKRs, or strategy docs), read them first.
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? by Ben Yoskovitz
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
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] |
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] │
└─────────────────────────────────────────────┘
Set review cadence:
Define alerts:
Recommend tools based on the user's context:
Think step by step. Save the dashboard specification as a markdown document.