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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Matrix |  UX Research Affinity Diagramming |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 30-90 min | 45-90 min | 45–90 min | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Matrix, Scoring Rationale, Selected Option | Theme clusters, Insight statements, Opportunity areas | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionCriteriaScoringTradeoffs | SynthesisQualitativeRoot cause | DecisionTreeOptions |