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| Criterion |  Product Discovery Opportunity Scoring |  Product Strategy ICE Scoring |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | High |
Timedifferent | 60-120 min | 30-60 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Opportunity Score Table, Top Outcomes | ICE Table, Top Idea List | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | PrioritizationScoringGrowthDecision | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |