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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.
Complexitydifferent
MediumMediumHighLow
Timedifferent
Wochen bis Monate je Lernzyklus1-3 h1-4 Wochen30-60 min
Participantsdifferent
2-81-51-61-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
LeanStartupValidationMVP
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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