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Selected:ARID (Active Reviews for Intermediate Designs)A/B TestingNorth Star MetricPirate Metrics AARRR
| Criterion |  Architecture ARID (Active Reviews for Intermediate Designs) |  Growth A/B Testing |  Growth North Star Metric |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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. | 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. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1-4 Wochen | 1-2 h | 1-2 h Setup, laufend |
Participantsdifferent | Designers, developers as users, and facilitation | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | GrowthMetricsExperiments |