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| Criterion |  Operations ABC Analysis |  Product Discovery Pretotyping |  Product Strategy ICE Scoring |  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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 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 | Low | High |
Timedifferent | 30-60 min | Stunden bis wenige Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-4 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationOperationsPortfolio | ValidationDemandMVP | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |