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| Criterion |  Engineering Fault Isolation |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | 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. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-180 min | 2-8 h | 2-6 h | 30-240 min |
Participantsdifferent | 1-6 | 5-12 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | TroubleshootingDiagnosisEngineering | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior | TroubleshootingProblem solvingDiagnosis |