metrics-dashboard

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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.

Web & Frontend 11,758 stars 1390 forks Updated 1 weeks ago MIT

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Skill Content

## 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 o...

Details

Author
phuryn
Repository
phuryn/pm-skills
Created
3 months ago
Last Updated
1 weeks ago
Language
N/A
License
MIT

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