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| Criterion |  Knowledge Modeling Concept Mapping |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-2 h | Mehrere Wochen | 3-14 Tage | 1-3 h |
Participantsdifferent | 1-8 | 2-6 researchers plus sample | 50+ | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | KnowledgeMappingRisk |