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| Criterion |  Growth A/B Testing |  Architecture Views and Beyond |  Product Discovery MVP Test Matrix |  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. | Views and Beyond organizes architecture into several views so no single diagram has to do everything at once. This makes it possible to choose the representation that fits the stakeholder's question. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 Tage | 45-75 min | 30-60 min |
Participantsdifferent | 1-6 | 1-4 | 2-8 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Architecture Views, Cross-view Notes, Rationale | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | DocumentationStakeholdersArchitecture | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |