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Criterion
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 Tage1-3 h1-4 Wochen1 h bis mehrere Wochen
Participantsdifferent
4-101-51-61-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryPDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
LeanContinuous improvementOperations
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
Continuous improvementLeanExperiments
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