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| Criterion |  Product Strategy ICE Scoring |  Innovation Design Thinking |  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. | 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. | 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 | 1 Tag bis mehrere Wochen | 45-120 min | 30-90 min |
Participantsdifferent | 2-8 | 4-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Problem Statement, Prototype, Test Learnings | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PrioritizationScoringGrowthDecision | InnovationPrototypeResearch | TradeoffsDecisionCriteriaOptions | ConstraintsDecisionPlanningOptions |