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| Criterion | ![]() Product Strategy RICE Scoring | ![]() Innovation Design Thinking | ![]() Decision Making Constraint Analysis | ![]() Decision Making Trade-off Analysis |
|---|---|---|---|---|
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. | 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 | Medium | High | Low | Medium |
Timedifferent | 60-90 min | 1 Tag bis mehrere Wochen | 30-90 min | 45-120 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 | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions | TradeoffsDecisionCriteriaOptions |



