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| Criterion |  Knowledge Modeling PARA Method |  Growth North Star Metric |  Product Discovery Assumption Mapping |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-2 h | 45-60 min | 1-2 h Setup, laufend |
Participantsdifferent | 1 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | North Star metric, Input metric tree, Measurement cadence | Assumption map, Test backlog, Risk ranking | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | KnowledgeProductivityOrganization | GrowthMetricsAlignmentRetention | AssumptionsRiskExperimentsValidation | GrowthMetricsExperiments |