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| Criterion |  Team Design Spotify Model Mapping |  Operations A3 Problem Solving |  Engineering Hypothesis-Driven Troubleshooting |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 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 | Medium | Low |
Timedifferent | 90-180 min | 45-90 min | 30-240 min | 15-30 min |
Participantsdifferent | 5-15 | 2-5 | 1-6 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Spotify Model Map, Action List | A3 Report, Action Plan, Root Cause Analysis | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Root cause notes, Countermeasures |
Tagsno overlap | TeamOrganizationAlignmentDiagnosis | LeanProblem solvingCoachingOperations | TroubleshootingProblem solvingDiagnosis | Root causeIncidentLeanProblem solving |