跳到主要内容
知仓学习社ZHICANG

metrics-dashboard

Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics…

不碰外部(只输出文字)无严重或高危命中phuryn/pm-skills

它会碰到什么

扫了多少1 个文本文件,5 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

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 one problem and dig deep into the data.

For case studies and more detail: Are You Tracking the Right Metrics? by Ben Yoskovitz

Instructions

  1. 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

  1. 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] |

  1. 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]        │
   └─────────────────────────────────────────────┘
  1. Set review cadence:
  • Daily: Operational health (errors, latency, critical flows)
  • Weekly: Input metrics and engagement trends
  • Monthly: North Star, business metrics, OKR progress
  • Quarterly: Strategic review and metric recalibration
  1. Define alerts:
  • What thresholds trigger investigation?
  • Who gets alerted and through what channel?
  • What's the expected response time?
  1. Recommend tools based on the user's context:
  • Amplitude, Mixpanel, PostHog for product analytics
  • Looker, Metabase, Mode for SQL-based dashboards
  • Datadog, Grafana for operational health

Think step by step. Save the dashboard specification as a markdown document.


Further Reading

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。

它属于哪个仓库

星标★ 26,377
本站分层T1
该仓技能数69
原文件路径pm-product-discovery/skills/metrics-dashboard/SKILL.md

同一个仓库里的其他技能

看这个仓库的全部 69 个技能