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Criterion
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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 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
MediumMediumHighLow
Timedifferent
0.5-5 Tage15-45 min1-4 Wochen1 h bis mehrere Wochen
Participantsdifferent
4-101-81-61-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdatePERT Estimate, Expected Value, Risk NotesExperiment results, Decision log, Learning summaryPDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
LeanContinuous improvementOperations
EstimationUncertaintyRisk
ExperimentsGrowthAnalyticsValidation
Continuous improvementLeanExperiments
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