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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Delivery RAID Log |  Team Design Spotify Model Mapping |
|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 30-240 min | 30 min Setup, dann laufend | 90-180 min |
Participantsdifferent | 1-6 | 1-3 maintaining, briefing for everyone | 5-15 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | RAID Log, Status Report Source | Spotify Model Map, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | RiskTrackingStakeholdersGovernance | TeamOrganizationAlignmentDiagnosis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
