Metrics dashboard
Skill ComeOnOliver/skillshub/skills/phuryn/pm-skills/metrics-dashboard
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SKILL.md
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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 β creates a common language. (2) Comparative β over time, not a snapshot. (3) Ratio or Rate β more revealing than whole numbers. (4) Behavior-changing β 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 β 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 β ensure all key metrics are good ones. (3) Identify vanity metrics β 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
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Identify the metrics framework β 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] -
Design the dashboard layout:
βββββββββββββββββββββββββββββββββββββββββββββββ β NORTH STAR: [Metric] β [Current Value] β β Trend: [β/β X% vs last period] β ββββββββββββββββββββ¬βββββββββββββββββββββββββββ€ β Input Metric 1 β Input Metric 2 β β [Sparkline] β [Sparkline] β ββββββββββββββββββββΌβββββββββββββββββββββββββββ€ β Input Metric 3 β Input Metric 4 β β [Sparkline] β [Sparkline] β ββββββββββββββββββββ΄βββββββββββββββββββββββββββ€ β HEALTH: [Latency] [Error Rate] [NPS] β βββββββββββββββββββββββββββββββββββββββββββββββ€ β BUSINESS: [MRR] [CAC] [LTV] [Churn] β βββββββββββββββββββββββββββββββββββββββββββββββ -
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
- The Ultimate List of Product Metrics
- The North Star Framework 101
- The Product Analytics Playbook: AARRR, HEART, Cohorts & Funnels for PMs
- AARRR (Pirate) Metrics: The 5-Stage Framework for Growth
- The Google HEART Framework: Your Guide to Measuring User-Centric Success
- Funnel Analysis 101: How to Track and Optimize Your User Journey
- Are You Tracking the Right Metrics?
- Continuous Product Discovery Masterclass (CPDM) (video course)
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.