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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Purposedifferent
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.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.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.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
60-120 min1-4 Wochen1-2 h1-2 h Setup, laufend
Participantsdifferent
3-81-63-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryNorth Star metric, Input metric tree, Measurement cadenceAARRR funnel, Metric baseline, Experiment backlog
Tags1 shared
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
GrowthMetricsAlignmentRetention
GrowthMetricsExperiments
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