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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 a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
MediumMediumMediumHigh
Timedifferent
Wochen bis Monate je Lernzyklus1-2 Wochen45-60 min1-4 Wochen
Participantsdifferent
2-81-62-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment card, Result summary, Next betAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
LeanStartupValidationMVP
MarketingGrowthExperimentsLearning
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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