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| Criterion |  Architecture C4 Model |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | Medium | High |
Timedifferent | 1-4 h | 30-240 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | ArchitectureCommunicationVisualization | TroubleshootingProblem solvingDiagnosis | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |