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| Criterion | ![]() Operations ABC Analysis | ![]() Operations Gemba Walk | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 30-60 min | 30-120 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-6 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Observation Notes, Improvement Ideas | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationOperationsPortfolio | LeanObservationProcessOperations | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



