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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Team Design Spotify Model Mapping |  Facilitation Expectation Mapping |  Engineering Fault Isolation |
|---|---|---|---|---|
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. | When a team landscape has grown without clear grouping, it maps roles and relationships onto the Spotify model. It clarifies responsibility, interaction, and load between teams. The result is captured as a Spotify model map and action list. | When roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-240 min | 90-180 min | 45-90 min | 30-180 min |
Participantsdifferent | 1-6 | 5-15 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Spotify Model Map, Action List | Expectation Map, Alignment Notes, Agreements | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | TeamOrganizationAlignmentDiagnosis | AlignmentStakeholdersTeam | TroubleshootingDiagnosisEngineering |