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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration for Kaizen Event.
Operations
Kaizen Event
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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
LowMediumMediumHigh
Timedifferent
1-5 Tage45-90 min0.5-5 Tage1-4 Wochen
Participantsdifferent
Nutzertraffic2-54-101-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Interest Metrics, Conversion Signal, Learning NoteA3 Report, Action Plan, Root Cause AnalysisKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationExperimentsDemandGrowth
LeanProblem solvingCoachingOperations
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
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