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| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 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 | Medium | High | Low |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | Designers, developers as users, and facilitation | 1-5 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |



