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| Criterion |  Operations PDCA Cycle |  Growth Funnel Analysis |  Operations Kaizen Event |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 1 h bis mehrere Wochen | 1-3 h | 0.5-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-8 | 1-5 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Funnel report, Drop-off analysis, Optimization hypotheses | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | AnalyticsConversionGrowth | LeanContinuous improvementOperations | ExperimentsGrowthAnalyticsValidation |