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| Criterion |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Matrix |  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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | 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 | High | Medium | Low |
Timedifferent | 1 Tag bis mehrere Wochen | Mehrere Wochen | 45-90 min | 30-60 min |
Participantsdifferent | 4-10 | 2-6 researchers plus sample | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tagsno overlap | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |