PM KPI Dashboards
(2026 Edition)
6 dashboards every PM should have, 6 design rules, 6 anti-patterns, and the cadence that keeps dashboards alive vs stale.
Build PM Metric Intuition Daily — Free →6 Dashboards Every PM Should Have
1. North Star Dashboard
Check daily (30 sec)Single view of your one most important metric + 3–5 inputs + guardrails
2. Funnel Dashboard
Review weekly (15 min)Conversion at each funnel stage + weekly trends + cohort breakouts
3. Retention Dashboard
Review weekly (10 min)D1/D7/D30 retention curves by cohort + segment slices
4. Experiment Dashboard
Review 2x weeklyActive experiments, status, metrics, expected end date
5. Revenue / Unit Economics Dashboard
Review weekly (10 min)MRR, NRR, CAC, LTV, payback — if revenue is in your scope
6. Quality / Health Dashboard
Review weekly (5 min)Bugs, crashes, support ticket trends, NPS — guardrail metrics
6 Design Rules
Name the owner of each metric on the dashboard — accountability + question routing
Pair absolute numbers with trend (last week, last month) — context matters
Compare against target — visible gap drives action
Auto-refresh — stale dashboards get ignored
Link from metric to diagnostic — 'retention dropped' should link to segmented view
Annotate major events (launches, outages) — explains metric movements later
6 Dashboard Anti-Patterns
50-chart dashboards — nobody reads them, everyone ignores them
Vanity metrics prominently displayed — signals to the team what to optimise for (poorly)
No guardrails — primary metric wins, team celebrates, silent damage elsewhere
Dashboard that requires a data analyst to interpret — PM-owned dashboards should be self-explanatory
Not showing baselines — 'retention 28%' without 'was 25% last week' loses meaning
Building the dashboard once and never updating it — metrics shift as products evolve
FAQ
How many dashboards should a PM maintain?
2–4 actively. North Star + funnel + retention + experiment is usually enough for most PM scopes. Adding more dashboards dilutes attention — great dashboards are ones you check weekly, not ones that exist. If a dashboard hasn't been checked in 2 weeks, it's not a dashboard — it's a document.
Should PMs build dashboards themselves or work with data analysts?
Core dashboards: build yourself in Amplitude/Mixpanel if possible — keeps you close to the numbers. Complex dashboards (custom SQL, multiple sources): partner with data analysts. The failure mode: PMs who can't build any dashboard themselves stay dependent and slow. SQL basics + Amplitude fluency is a force multiplier.
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Daily scenarios on diagnosing metrics, designing dashboards, and making decisions from data.
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