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| Criterion |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Knowledge Mapping |  Product Discovery Outcome-Driven Innovation |  Decision Making Argument 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. | 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. | 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 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 | Medium | Medium | High | Medium |
Timedifferent | 1-2 h | 1-3 h | Mehrere Wochen | 1-3 h |
Participantsdifferent | 1-8 | 3-12 | 2-6 researchers plus sample | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | KnowledgeMappingRisk | OutcomesInnovationResearchQuantitative | SensemakingDecisionRationale |