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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Strategy ICE Scoring |  Innovation Design Thinking |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 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 | Low | High | Medium |
Timedifferent | Mehrere Wochen | 30-60 min | 1 Tag bis mehrere Wochen | 45-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | ICE Table, Top Idea List | Problem Statement, Prototype, Test Learnings | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | OutcomesInnovationResearchQuantitative | PrioritizationScoringGrowthDecision | InnovationPrototypeResearch | DecisionCriteriaScoringTradeoffs |