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| Criterion |  Operations ABC Analysis |  Operations A3 Problem Solving |  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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 | Medium | Medium | High |
Timedifferent | 30-60 min | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-5 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | ABC Classification, Focus Rules, Control List | A3 Report, Action Plan, Root Cause Analysis | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationOperationsPortfolio | LeanProblem solvingCoachingOperations | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |