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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 Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumHighMediumLow
Timedifferent
60-120 min1-4 Wochen1-2 h Setup, laufend1-5 Tage
Participantsdifferent
3-81-62-8Nutzertraffic
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryAARRR funnel, Metric baseline, Experiment backlogInterest Metrics, Conversion Signal, Learning Note
Tags1 shared
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
GrowthMetricsExperiments
ValidationExperimentsDemandGrowth
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