metrics-dashboard
定义并设计产品指标仪表盘,包括关键指标、数据源、可视化类型和告警阈值。适用于创建指标仪表盘、定义 KPI、搭建产品分析或制定数据监控计划。
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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.
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从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
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原文涵盖的主题
- 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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- phuryn/pm-skills
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- pm-product-discovery/skills/metrics-dashboard/SKILL.md
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- 9af7bfd0bc47fdad43c2eaa7a43cd13918e7aaef
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原作者:phuryn/pm-skills · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T16:01:01.765Z。
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