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| Criterion |  Knowledge Modeling PARA Method |  Knowledge Modeling Feynman Technique |  Product Strategy Counter Metrics |  Growth Growth Experiment |
|---|---|---|---|---|
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. | 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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 20-60 min | 30-60 min | 1-2 Wochen |
Participantsdifferent | 1 | 1 | 2-6 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Plain-language Explanation, Knowledge Gaps, Study Notes | Counter Metric List, Guardrail Definitions | Experiment card, Result summary, Next bet |
Tagsno overlap | KnowledgeProductivityOrganization | LearningKnowledgeUnderstanding | MetricsMeasurementStrategyExperiments | MarketingGrowthExperimentsLearning |