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| Criterion |  Decision Making Decision Tree |  Innovation Design Sprint |  UX Research Surveys |
|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-90 min | 4-5 Tage | 3-14 Tage |
Participantsdifferent | 1-6 | 5-8 | 50+ |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Prototype, Test Findings, Decision Rationale | Survey Results, Charts, Segment Insights |
Tagsno overlap | DecisionTreeOptions | Design sprintPrototypeValidationInnovation | QuantitativeResearchValidation |
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