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| Criterion | ![]() Product Strategy RICE Scoring | ![]() Innovation Design Thinking | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Matrix |
|---|---|---|---|---|
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 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 60-90 min | 1 Tag bis mehrere Wochen | 30-90 min | 45-90 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 | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions | DecisionCriteriaScoringTradeoffs |



