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| Criterion |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Knowledge Mapping |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 1-2 h | 1-3 h | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 1-8 | 3-12 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | KnowledgeMappingRisk | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |