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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
HighMediumLowLow
Timedifferent
1-4 Wochen2-3 h1-5 Tage30-60 min
Participantsdifferent
1-63-8Nutzertraffic1-5
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryCompleted Lean UX Canvas, Hypothesis list, First experimentInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
CanvasHypothesisOutcomesDiscovery
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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