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| Criterion | ![]() Operations PDCA Cycle | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Low | Medium | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-8 | Designers, developers as users, and facilitation | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Continuous improvementLeanExperiments | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



