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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Kaizen Event.
Operations
Kaizen Event
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.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.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
LowMediumHighLow
Timedifferent
1 h bis mehrere Wochen0.5-5 Tage1-4 Wochen1-5 Tage
Participantsdifferent
1-84-101-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Continuous improvementLeanExperiments
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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