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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() Systems Thinking Future Reality Tree | ![]() Agile Ideal Days |
|---|---|---|---|
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. | 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 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-3 h | 2-4 h | 15-60 min |
Participantsdifferent | 3-12 | 3-8 | 2-9 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Ideal Day Estimates, Assumption Notes, Capacity Caveats |
Tagsno overlap | KnowledgeMappingRisk | Theory of ConstraintsSystems thinkingChange | EstimationEffortAgile |
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