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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Architecture C4 Model |  Engineering Fault Isolation |  Operations 5 Whys |
|---|---|---|---|---|
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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-240 min | 1-4 h | 30-180 min | 15-30 min |
Participantsdifferent | 1-6 | 1-5 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Context Diagram, Container Diagram, Component Diagram | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ArchitectureCommunicationVisualization | TroubleshootingDiagnosisEngineering | Root causeIncidentLeanProblem solving |