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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Assumption Mapping |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 | Low | Medium | High | High |
Timedifferent | 30-60 min | 45-60 min | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | ICE Table, Top Idea List | Assumption map, Test backlog, Risk ranking | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | AssumptionsRiskExperimentsValidation | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |