Product Metrics Dashboard

Metrics dashboard

by phuryn · MIT license · ★ 26,557 on GitHub · updated Sep 14

Metrics dashboard cover

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.

---
name: metrics-dashboard
description: "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."
---

## 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.

Overview

Design a comprehensive product metrics dashboard with the right metrics, visualizations, and alert thresholds.

Manual install (npx, ZIP)
Claude Codenpx skills add phuryn/pm-skills --skill metrics-dashboard -g -a claude-code
Claude Code (degit)npx degit phuryn/pm-skills/pm-product-discovery/skills/metrics-dashboard#main ~/.claude/skills/metrics-dashboard
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md5.6 KB
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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

  2. 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]
  3. 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]        │
    └─────────────────────────────────────────────┘
    
  4. 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
  5. Define alerts:

    • What thresholds trigger investigation?
    • Who gets alerted and through what channel?
    • What's the expected response time?
  6. 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
1---
2name: metrics-dashboard
3description: "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."
4---
5 
6## Product Metrics Dashboard
7 
8Design a comprehensive product metrics dashboard with the right metrics, visualizations, and alert thresholds.
9 
10### Context
11 
12You are designing a metrics dashboard for **$ARGUMENTS**.
13 
14If the user provides files (existing dashboards, analytics data, OKRs, or strategy docs), read them first.
15 
16### Domain Context
17 
18**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.
19 
20**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."
21 
22**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).
23 
24**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.
25 
26For case studies and more detail: [Are You Tracking the Right Metrics?](https://www.productcompass.pm/p/are-you-tracking-the-right-metrics) by Ben Yoskovitz
27 
28### Instructions
29 
301. **Identify the metrics framework** — organize metrics into layers:
31 
32 **North Star Metric**: The single metric that best captures core value delivery
33 
34 **Input Metrics** (3-5): The levers that drive the North Star
35 
36 **Health Metrics**: Guardrails that ensure overall product health
37 
38 **Business Metrics**: Revenue, cost, and unit economics
39 
402. **For each metric, define**:
41 
42 | Metric | Definition | Data Source | Visualization | Target | Alert Threshold |
43 |---|---|---|---|---|---|
44 | [Name] | [Exact calculation: numerator/denominator, time window] | [Where the data comes from] | [Line chart / Bar / Number / Funnel] | [Goal value] | [When to trigger an alert] |
45 
463. **Design the dashboard layout**:
47 
48 ```
49 ┌─────────────────────────────────────────────┐
50 │ NORTH STAR: [Metric] — [Current Value] │
51 │ Trend: [↑/↓ X% vs last period] │
52 ├──────────────────┬──────────────────────────┤
53 │ Input Metric 1 │ Input Metric 2 │
54 │ [Sparkline] │ [Sparkline] │
55 ├──────────────────┼──────────────────────────┤
56 │ Input Metric 3 │ Input Metric 4 │
57 │ [Sparkline] │ [Sparkline] │
58 ├──────────────────┴──────────────────────────┤
59 │ HEALTH: [Latency] [Error Rate] [NPS] │
60 ├─────────────────────────────────────────────┤
61 │ BUSINESS: [MRR] [CAC] [LTV] [Churn] │
62 └─────────────────────────────────────────────┘
63 ```
64 
654. **Set review cadence**:
66 - **Daily**: Operational health (errors, latency, critical flows)
67 - **Weekly**: Input metrics and engagement trends
68 - **Monthly**: North Star, business metrics, OKR progress
69 - **Quarterly**: Strategic review and metric recalibration
70 
715. **Define alerts**:
72 - What thresholds trigger investigation?
73 - Who gets alerted and through what channel?
74 - What's the expected response time?
75 
766. **Recommend tools** based on the user's context:
77 - Amplitude, Mixpanel, PostHog for product analytics
78 - Looker, Metabase, Mode for SQL-based dashboards
79 - Datadog, Grafana for operational health
80 
81Think step by step. Save the dashboard specification as a markdown document.
82 
83---
84 
85### Further Reading
86 
87- [The Ultimate List of Product Metrics](https://www.productcompass.pm/p/the-ultimate-list-of-product-metrics)
88- [The North Star Framework 101](https://www.productcompass.pm/p/the-north-star-framework-101)
89- [The Product Analytics Playbook: AARRR, HEART, Cohorts & Funnels for PMs](https://www.productcompass.pm/p/the-product-analytics-playbook-aarrr)
90- [AARRR (Pirate) Metrics: The 5-Stage Framework for Growth](https://www.productcompass.pm/p/aarrr-pirate-metrics)
91- [The Google HEART Framework: Your Guide to Measuring User-Centric Success](https://www.productcompass.pm/p/the-google-heart-framework)
92- [Funnel Analysis 101: How to Track and Optimize Your User Journey](https://www.productcompass.pm/p/funnel-analysis)
93- [Are You Tracking the Right Metrics?](https://www.productcompass.pm/p/are-you-tracking-the-right-metrics)
94- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)
95 
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Details

Updated
Sep 14, 2026
License
MIT
Stars on the repo
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Source
phuryn/pm-skills ↗
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