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| Criterion |  Product Strategy RICE Scoring |  UX Research Surveys |  Innovation Design Thinking |  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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 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 | Medium | High | Medium |
Timedifferent | 60-90 min | 3-14 Tage | 1 Tag bis mehrere Wochen | 45-90 min |
Participantsdifferent | 2-10 | 50+ | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | QuantitativeResearchValidation | InnovationPrototypeResearch | DecisionCriteriaScoringTradeoffs |