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| Criterion |  UX Research Affinity Diagramming |  Knowledge Modeling Knowledge Mapping |  Product Strategy DIBB |  Knowledge Modeling Concept 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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 45–90 min | 1-3 h | 1-2 h | 1-2 h |
Participantsdifferent | 3-10 | 3-12 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Knowledge Map, Critical Knowledge Areas, Transfer Plan | DIBB document, Belief list, Bet list, Learning report | Concept Map, Relationship Labels, Knowledge Gaps |
Tagsno overlap | SynthesisQualitativeRoot cause | KnowledgeMappingRisk | StrategyDecisionAssumptionsHypothesis | KnowledgeConceptsMappingSensemaking |