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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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
Wochen bis Monate je Lernzyklus1-2 WochenStunden bis wenige Tage1-4 Wochen
Participantsdifferent
2-81-61-41-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment card, Result summary, Next betPretotyping sketch, Test setup, Conversion data, Go or no-go decisionExperiment results, Decision log, Learning summary
Tagsno overlap
LeanStartupValidationMVP
MarketingGrowthExperimentsLearning
ValidationDemandMVP
ExperimentsGrowthAnalyticsValidation
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