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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Decision Tree |  Operations Theory of Constraints |  Operations After-Action Review |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 2-4 h Analyse, laufend | 20-45 min |
Participantsdifferent | 1 | 1-6 | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Decision Tree, Option Map, Assumption List | Constraint Map, Improvement Plan, Flow Metrics | Lessons learned, Action items, Event summary |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | OperationsConstraintsFlowImprovement | LearningOperationsImprovement |