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| Criterion |  Knowledge Modeling PARA Method |  Growth Pirate Metrics AARRR |  Engineering Goal Question Metric |  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. | 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. | 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. | 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 | 1-2 h Setup, laufend | 90-180 min | 1-4 Wochen |
Participantsdifferent | 1 | 2-8 | 3-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | AARRR funnel, Metric baseline, Experiment backlog | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeProductivityOrganization | GrowthMetricsExperiments | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |