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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 WochenWochen bis Monate je Lernzyklus1-5 Tage1-5 Tage
Participantsdifferent
1-62-8NutzertrafficNutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryHypothesis list, MVPs, Learning reports, Pivot or persevere decisionInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tags1 shared
ExperimentsGrowthAnalyticsValidation
LeanStartupValidationMVP
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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