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| Criterion |  UX Research Surveys |  Decision Making Decision Tree |  Innovation Design Thinking |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 3-14 Tage | 30-90 min | 1 Tag bis mehrere Wochen | 30-90 min |
Participantsdifferent | 50+ | 1-6 | 4-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Decision Tree, Option Map, Assumption List | Problem Statement, Prototype, Test Learnings | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | QuantitativeResearchValidation | DecisionTreeOptions | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions |