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| Criterion |  Innovation Design Thinking |  Product Discovery Solution Interview |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min je Interview | 30-60 min | 45-90 min |
Participantsdifferent | 4-10 | 5-10 Interviews | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Solution Feedback, Objection List, Validation Notes | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | InnovationPrototypeResearch | ValidationInterviewsPrototype | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs |