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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Concept Mapping |  Decision Making Red Teaming |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | 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. | 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 | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 1-2 h | 1-4 h | 1-3 h |
Participantsdifferent | 2-8 | 1-8 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Concept Map, Relationship Labels, Knowledge Gaps | Challenge Findings, Risk Register, Mitigation Plan | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | KnowledgeConceptsMappingSensemaking | RiskDecisionSensemaking | KnowledgeMappingRisk |