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| Criterion |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  UX Research Affinity Diagramming |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 45–90 min | 1-5 Tage |
Participantsdifferent | 1-6 | Designers, developers as users, and facilitation | 3-10 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Theme clusters, Insight statements, Opportunity areas | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | SynthesisQualitativeRoot cause | ValidationExperimentsDemandGrowth |