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| Criterion |  Innovation Design Thinking |  Product Strategy RICE Scoring |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 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 | High | Medium | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 60-90 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 4-10 | 2-10 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | RICE Scores, Ranked List, Assumption Log | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | InnovationPrototypeResearch | PrioritizationScoringRoadmapTradeoffs | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |