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| Criterion |  Knowledge Modeling Concept Mapping |  UX Research Affinity Diagramming |  Product Discovery Opportunity Interview |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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 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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 h | 45–90 min | 30-60 min je Interview | 1-2 h Setup, laufend |
Participantsdifferent | 1-8 | 3-10 | 5-12 Interviews | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Theme clusters, Insight statements, Opportunity areas | Interview Notes, Opportunity Themes, Customer Quotes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | SynthesisQualitativeRoot cause | DiscoveryInterviewsOpportunityCustomer | DiscoveryOutcomesExperimentsOpportunity |