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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
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 PDCA Cycle.
Operations
PDCA Cycle
Purposedifferent
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.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.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
15-45 min0.5-5 Tage1-4 Wochen1 h bis mehrere Wochen
Participantsdifferent
1-84-101-61-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
PERT Estimate, Expected Value, Risk NotesKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summaryPDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
EstimationUncertaintyRisk
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
Continuous improvementLeanExperiments
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