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Selected:ARID (Active Reviews for Intermediate Designs)Design ThinkingExperiment CanvasFake Door Test
| Criterion |  Architecture ARID (Active Reviews for Intermediate Designs) |  Innovation Design Thinking |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1 Tag bis mehrere Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | Designers, developers as users, and facilitation | 4-10 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Problem Statement, Prototype, Test Learnings | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | InnovationPrototypeResearch | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |