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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Decision Tree |  Operations Theory of Constraints |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 2-4 h Analyse, laufend | 30-90 min |
Participantsdifferent | 1 | 1-6 | 3-12 | 2-8 |
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 | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | OperationsConstraintsFlowImprovement | ConstraintsDecisionPlanningOptions |