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| Criterion |  Innovation Design Thinking |  Product Discovery Solution Interview |  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 a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | Medium | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min je Interview | 30-60 min | 1-4 Wochen |
Participantsdifferent | 4-10 | 5-10 Interviews | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Solution Feedback, Objection List, Validation Notes | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | InnovationPrototypeResearch | ValidationInterviewsPrototype | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |