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Criterion
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
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Purposedifferent
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.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.
Complexitydifferent
MediumHighLowLow
Timedifferent
0.5-5 Tage1-4 Wochen1-5 Tage1 h bis mehrere Wochen
Participantsdifferent
4-101-6Nutzertraffic1-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NotePDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
Continuous improvementLeanExperiments
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