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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Outcome-Driven Innovation |  Decision Making Trade-off Analysis |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Low | High | Medium | Low |
Timedifferent | 30-60 min | Mehrere Wochen | 45-120 min | 30-90 min |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PrioritizationScoringGrowthDecision | OutcomesInnovationResearchQuantitative | TradeoffsDecisionCriteriaOptions | ConstraintsDecisionPlanningOptions |