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| Criterion |  UX Research Affinity Diagramming |  Product Strategy DIBB |  Knowledge Modeling Concept Mapping |  Decision Making Argument Mapping |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | 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. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 45–90 min | 1-2 h | 1-2 h | 1-3 h |
Participantsdifferent | 3-10 | 2-8 | 1-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report | Concept Map, Relationship Labels, Knowledge Gaps | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis | KnowledgeConceptsMappingSensemaking | SensemakingDecisionRationale |