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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
Purposedifferent
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.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.
Complexitydifferent
MediumMediumHighLow
Timedifferent
1-3 hWochen bis Monate je Lernzyklus1-4 Wochen30-60 min
Participantsdifferent
1-52-81-61-5
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
AnalyticsConversionGrowth
LeanStartupValidationMVP
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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