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| Criterion |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | Medium | Low | High | High |
Timedifferent | 45-90 min | 30-60 min | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |