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| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Fake Door Test | ![]() Innovation Lean Startup | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | Low |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | Wochen bis Monate je Lernzyklus | 30-60 min |
Participantsdifferent | Designers, developers as users, and facilitation | Nutzertraffic | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Click Data, Interest Signal, Learning Decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Completed Experiment Canvas, Success Metric |
Tags1 shared | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandDiscovery | LeanStartupValidationMVP | ExperimentsValidationDiscoveryHypothesis |



