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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowHighMediumLow
Timedifferent
1 h bis mehrere Wochen1-4 WochenWochen bis Monate je Lernzyklus1-5 Tage
Participantsdifferent
1-81-62-8Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summaryHypothesis list, MVPs, Learning reports, Pivot or persevere decisionInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Continuous improvementLeanExperiments
ExperimentsGrowthAnalyticsValidation
LeanStartupValidationMVP
ValidationExperimentsDemandGrowth
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