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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Decision Tree |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 60-90 min |
Participantsdifferent | 1 | 1-6 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Decision Tree, Option Map, Assumption List | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | ExperimentsPrioritizationDiscoveryHypothesis |
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