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| Criterion |  Innovation Design Thinking |  Innovation Design Sprint |  Product Strategy ICE Scoring |  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 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 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 | High | High | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | 4-5 Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | 4-10 | 5-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |