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,…

INSTALLATION
npx skills add https://github.com/phuryn/pm-skills --skill metrics-dashboard
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$27

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

Instructions

-

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

-

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]

-

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]        │

└─────────────────────────────────────────────┘

-

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

-

Define alerts:

  • What thresholds trigger investigation?
  • Who gets alerted and through what channel?
  • What's the expected response time?

-

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

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