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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Product Kata |  Knowledge Modeling Feynman Technique |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-2 Wochen je Loop | 20-60 min | 1-2 h Setup, laufend |
Participantsdifferent | 1 | 3-10 | 1 | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Direction, Current metric, Target metric, Experiment note, Learning report | Plain-language Explanation, Knowledge Gaps, Study Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | KnowledgeProductivityOrganization | OutcomesDiscoveryLearningIterationCoaching | LearningKnowledgeUnderstanding | DiscoveryOutcomesExperimentsOpportunity |