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| Criterion | ![]() UX Research Affinity Diagramming | ![]() UX Research User Interviews | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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. | 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 | Low | Low | Medium |
Timedifferent | 45–90 min | 30–60 min per interview | 30-90 min | 30-90 min |
Participantsdifferent | 3-10 | 1 participant per interview | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Interview Notes, Themes, Insight Summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | SynthesisQualitativeRoot cause | QualitativeResearchCustomerDiscovery | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |



