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| Criterion |  Growth A/B Testing |  Innovation Design Sprint |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 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 | High | High | Medium | Low |
Timedifferent | 1-4 Wochen | 4-5 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 30-60 min |
Participantsdifferent | 1-6 | 5-8 | Designers, developers as users, and facilitation | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Completed Experiment Canvas, Success Metric |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryHypothesis |