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| Criterion | ![]() UX Research Surveys | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Learning Card | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | Low |
Timedifferent | 3-14 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 25-40 min | 30-60 min |
Participantsdifferent | 50+ | Designers, developers as users, and facilitation | 1-5 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tags1 shared | QuantitativeResearchValidation | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |



