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| Criterion |  Operations ABC Analysis |  Product Strategy ICE Scoring |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | 30-60 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | ABC Classification, Focus Rules, Control List | ICE Table, Top Idea List | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationOperationsPortfolio | PrioritizationScoringGrowthDecision | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |