Metrics Dashboard

This generates a properly structured product metrics dashboard with the North Star framework: one key metric that captures core value, 3-5 input metrics that drive it, and health/business guardrails. You get a full specification table with exact definitions, data sources, visualization types, targets, and alert thresholds. It includes dashboard layout with ASCII mockups, review cadences (daily for ops, weekly for engagement, monthly for NSM), and tool recommendations. Built on Lean Analytics principles, it pushes you to distinguish actionable metrics from vanity metrics and leading from lagging indicators. Useful when you're setting up product analytics from scratch or auditing an existing dashboard that's tracking too much noise.

skills.sh installs: 3.1K
GitHub stars: 27.8K
last updated: Aug 21, 2026

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Install

$ npx -y skills add phuryn/pm-skills --skill metrics-dashboard --agent claude-code

Installs into .claude/skills of the current project.

Files

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."

SKILL.md on GitHub