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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Thinking | ![]() Decision Making Decision Matrix | ![]() Decision Making Trade-off Analysis |
|---|---|---|---|---|
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. | 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. | 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 | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 45-90 min | 45-120 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Decision Matrix, Scoring Rationale, Selected Option | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | DecisionCriteriaScoringTradeoffs | TradeoffsDecisionCriteriaOptions |



