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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Operations 8D Problem Solving |  Team Design Spotify Model Mapping |  Operations Change Analysis |
|---|---|---|---|---|
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. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. | 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 deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 30-240 min | 1-6 Wochen | 90-180 min | 45-120 min |
Participantsdifferent | 1-6 | 4-10 | 5-15 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Spotify Model Map, Action List | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | QualityProblem solvingRoot cause | TeamOrganizationAlignmentDiagnosis | ChangeRoot causeTroubleshootingComparison |