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| Criterion |  Knowledge Modeling Knowledge Mapping |  Decision Making PERT Estimation |  Systems Thinking Future Reality Tree |  Facilitation Dot Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h | 15-45 min | 2-4 h | 5-20 min |
Participantsdifferent | 3-12 | 1-8 | 3-8 | 3-20 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | PERT Estimate, Expected Value, Risk Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | KnowledgeMappingRisk | EstimationUncertaintyRisk | Theory of ConstraintsSystems thinkingChange | EstimationEffortRisk |