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| Criterion |  Knowledge Modeling PARA Method |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Discovery Experiment 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 1-4 Wochen | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 1 | 1-6 | 2-8 | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Completed Experiment Canvas, Success Metric |
Tagsno overlap | KnowledgeProductivityOrganization | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis |