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| Criterion |  Decision Making Decision Tree |  UX Research Surveys |  Decision Making Pre-Mortem |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | Low | Low |
Timedifferent | 30-90 min | 3-14 Tage | 20–45 min | 30-90 min |
Participantsdifferent | 1-6 | 50+ | Small cross-functional group | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Survey Results, Charts, Segment Insights | Risk list, Mitigation plan, Assumption log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | QuantitativeResearchValidation | RiskDecisionFailurePlanning | ConstraintsDecisionPlanningOptions |