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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Team Design Spotify Model Mapping |  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. | 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. | 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 | Medium | Low |
Timedifferent | 30-240 min | 90-180 min | 15-30 min |
Participantsdifferent | 1-6 | 5-15 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Spotify Model Map, Action List | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | TeamOrganizationAlignmentDiagnosis | Root causeIncidentLeanProblem solving |
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