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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Product Kata |  Product Discovery Opportunity Solution Tree |  Knowledge Modeling Feynman Technique |
|---|---|---|---|---|
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. | Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 1-2 Wochen je Loop | 1-2 h Setup, laufend | 20-60 min |
Participantsdifferent | 1 | 3-10 | 2-6 | 1 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Direction, Current metric, Target metric, Experiment note, Learning report | Opportunity Solution Tree, Experiment Backlog, Learning Log | Plain-language Explanation, Knowledge Gaps, Study Notes |
Tagsno overlap | KnowledgeProductivityOrganization | OutcomesDiscoveryLearningIterationCoaching | DiscoveryOutcomesExperimentsOpportunity | LearningKnowledgeUnderstanding |