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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |  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. | 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. | 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 | Low | Medium |
Timedifferent | Mehrere Wochen | 45-90 min | 30-60 min | 45-120 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision | TradeoffsDecisionCriteriaOptions |