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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Architecture C4 Model |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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. | 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. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 30-240 min | 1-4 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Context Diagram, Container Diagram, Component Diagram | Experiment results, Decision log, Learning summary |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ArchitectureCommunicationVisualization | ExperimentsGrowthAnalyticsValidation |
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