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| Criterion |  Knowledge Modeling Concept Mapping |  Decision Making Three-Point Estimation |  Knowledge Modeling Knowledge Mapping |  Decision Making PERT Estimation |
|---|---|---|---|---|
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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 10-30 min je Item | 1-3 h | 15-45 min |
Participantsdifferent | 1-8 | 1-8 | 3-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Three-Point Estimate, Risk Range, Assumption Notes | Knowledge Map, Critical Knowledge Areas, Transfer Plan | PERT Estimate, Expected Value, Risk Notes |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | EstimationUncertaintyForecasting | KnowledgeMappingRisk | EstimationUncertaintyRisk |