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| Criterion |  Knowledge Modeling PARA Method |  Engineering Goal Question Metric |  Growth Pirate Metrics AARRR |  Growth A/B Testing |
|---|---|---|---|---|
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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 h Setup, laufend | 90-180 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 1 | 3-6 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | GQM Table, Metric Profiles | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeProductivityOrganization | MetricsMeasurementEngineeringAlignment | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |