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| Criterion |  Decision Making Three-Point Estimation |  Knowledge Modeling Concept Mapping |  Delivery Monte Carlo Forecasting |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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 | Medium | Medium | High | Medium |
Timedifferent | 10-30 min je Item | 1-2 h | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 1-8 | 1-8 | 1-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Three-Point Estimate, Risk Range, Assumption Notes | Concept Map, Relationship Labels, Knowledge Gaps | Forecast Percentiles, Throughput Dataset, Risk Communication | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | EstimationUncertaintyForecasting | KnowledgeConceptsMappingSensemaking | ForecastingFlowDelivery | KnowledgeMappingRisk |