SKILL.md
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For case studies and more detail: Are You Tracking the Right Metrics? by Ben Yoskovitz
Instructions
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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
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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]
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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] │
└─────────────────────────────────────────────┘
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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
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Define alerts:
- What thresholds trigger investigation?
- Who gets alerted and through what channel?
- What's the expected response time?
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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
- Continuous Product Discovery Masterclass (CPDM) (video course)