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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
60-120 min1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
3-83-12Nutzertraffic1-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogSystem Map, Dependencies, Leverage PointsInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
Systems thinkingMappingBoundariesChange
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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