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| Criterion |  Knowledge Modeling Concept Mapping |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Knowledge Mapping |  Decision Making Red Teaming |
|---|---|---|---|---|
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. | 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 strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 1-2 h | Mehrere Wochen | 1-3 h | 1-4 h |
Participantsdifferent | 1-8 | 2-6 researchers plus sample | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Challenge Findings, Risk Register, Mitigation Plan |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | OutcomesInnovationResearchQuantitative | KnowledgeMappingRisk | RiskDecisionSensemaking |