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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
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.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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
MediumLowMediumHigh
Timedifferent
60-120 min1-5 TageWochen bis Monate je Lernzyklus1-4 Wochen
Participantsdifferent
3-8Nutzertraffic2-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogInterest Metrics, Conversion Signal, Learning NoteHypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
ValidationExperimentsDemandGrowth
LeanStartupValidationMVP
ExperimentsGrowthAnalyticsValidation
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