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Criterion
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Flywheel.
Growth
Flywheel
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Purposedifferent
When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-2 h1-4 Wochen60-120 min1-2 h Setup, laufend
Participantsdifferent
3-81-63-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
North Star metric, Input metric tree, Measurement cadenceExperiment results, Decision log, Learning summaryFlywheel Map, Friction Points, Growth Levers, Experiment BacklogAARRR funnel, Metric baseline, Experiment backlog
Tags1 shared
GrowthMetricsAlignmentRetention
ExperimentsGrowthAnalyticsValidation
GrowthRetentionConversion
GrowthMetricsExperiments
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