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| Criterion |  Innovation Design Thinking |  Decision Making Decision Matrix |  Product Discovery Outcome-Driven Innovation |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
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 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. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 45-90 min | Mehrere Wochen | 45-120 min |
Participantsdifferent | 4-10 | 2-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Decision Matrix, Scoring Rationale, Selected Option | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | InnovationPrototypeResearch | DecisionCriteriaScoringTradeoffs | OutcomesInnovationResearchQuantitative | TradeoffsDecisionCriteriaOptions |