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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Operations PDCA Cycle |
|---|---|---|---|
Purposedifferent | 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 | Medium | High | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 1 h bis mehrere Wochen |
Participantsdifferent | 1-5 | 1-6 | 1-8 |
Formatdifferent | Async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | PDCA Log, Experiment Plan, Learning Outcome, Standard Change |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | Continuous improvementLeanExperiments |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
