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| Criterion |  UX Research Affinity Diagramming |  Decision Making Argument Mapping |  Knowledge Modeling Concept Mapping |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 1-3 h | 1-2 h | 2-8 h |
Participantsdifferent | 3-10 | 1-8 | 1-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Argument Map, Evidence Gaps, Decision Rationale | Concept Map, Relationship Labels, Knowledge Gaps | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | SensemakingDecisionRationale | KnowledgeConceptsMappingSensemaking | Problem solvingRoot causeDecisionOperations |