SKILL

metrics-dashboard

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.

Target: Design & content creation. Automatically collected · unverified.

Excerpt from the author’s documentation

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Topics in the source

  • Product Metrics Dashboard
  • Context
  • Domain Context
  • Instructions
  • Further Reading

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 ag

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Source repository
phuryn/pm-skills
Source file
pm-product-discovery/skills/metrics-dashboard/SKILL.md
Fixed revision
9af7bfd0bc47fdad43c2eaa7a43cd13918e7aaef
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Author: phuryn/pm-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T16:01:01.765Z.

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