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| Criterion |  Growth A/B Testing |  Architecture C4 Model |  Product Discovery Test Card |  Product Discovery Hypothesis Prioritization 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. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 1-4 h | 20-35 min | 60-90 min |
Participantsdifferent | 1-6 | 1-5 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Context Diagram, Container Diagram, Component Diagram | Test Card with a pre-set threshold | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ArchitectureCommunicationVisualization | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |