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| Criterion |  Product Strategy RICE Scoring |  Innovation Design Thinking |  Decision Making Constraint Analysis |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 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. | 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. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 60-90 min | 1 Tag bis mehrere Wochen | 30-90 min | 30-60 min |
Participantsdifferent | 2-10 | 4-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Problem Statement, Prototype, Test Learnings | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | ICE Table, Top Idea List |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions | PrioritizationScoringGrowthDecision |