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| Criterion |  Product Strategy RICE Scoring |  Product Discovery Solution Interview |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | Medium | Medium | Low | High |
Timedifferent | 60-90 min | 30-60 min je Interview | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-10 | 5-10 Interviews | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Solution Feedback, Objection List, Validation Notes | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | ValidationInterviewsPrototype | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |