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| Criterion |  UX Research Surveys |  Product Discovery Smoke Test |  Architecture ARID (Active Reviews for Intermediate Designs) |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 3-14 Tage | 1-5 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 1-4 Wochen |
Participantsdifferent | 50+ | Nutzertraffic | Designers, developers as users, and facilitation | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Interest Metrics, Conversion Signal, Learning Note | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Experiment results, Decision log, Learning summary |
Tags1 shared | QuantitativeResearchValidation | ValidationExperimentsDemandGrowth | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsGrowthAnalyticsValidation |