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| Criterion |  Knowledge Modeling Knowledge Mapping |  Agile Ideal Days |  Systems Thinking Future Reality Tree |  Systems Thinking Systems Mapping |
|---|---|---|---|---|
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. | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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. | Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h | 15-60 min | 2-4 h | 1-3 h |
Participantsdifferent | 3-12 | 2-9 | 3-8 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | System Map, Dependencies, Leverage Points |
Tagsno overlap | KnowledgeMappingRisk | EstimationEffortAgile | Theory of ConstraintsSystems thinkingChange | Systems thinkingMappingBoundariesChange |