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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 of a Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas
Paper illustration for Smoke Test.
Product Discovery
Smoke 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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable.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
HighMediumMediumLow
Timedifferent
1-4 WochenWochen bis Monate je Lernzyklus45-90 min1-5 Tage
Participantsdifferent
1-62-81-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryHypothesis list, MVPs, Learning reports, Pivot or persevere decisionLean Canvas, Core Assumptions, Experiment BacklogInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
LeanStartupValidationMVP
StartupLeanAssumptionsBusiness model
ValidationExperimentsDemandGrowth
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