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Criterion
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
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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
MediumHighLowMedium
Timedifferent
Wochen bis Monate je Lernzyklus1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
2-81-61-5Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success MetricClick Data, Interest Signal, Learning Decision
Tags1 shared
LeanStartupValidationMVP
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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