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| Criterion |  Operations PDCA Cycle |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery MVP Test Matrix |  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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | 45-75 min | 30-60 min |
Participantsdifferent | 1-8 | Designers, developers as users, and facilitation | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | 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 | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Continuous improvementLeanExperiments | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |