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| Criterion |  Innovation Design Thinking |  Decision Making Risk Matrix |  Growth A/B Testing |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk 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. | 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. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 4-10 | 3-10 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Risk Matrix, Top Risk List | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | InnovationPrototypeResearch | RiskDecisionPrioritizationAssessment | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |