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| Criterion |  Agile Affinity Estimation |  Operations After-Action Review |  DevOps Game Day |  Operations Learning Review |
|---|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-90 min | 20-45 min | Halber Tag | 1-3 h |
Participantsdifferent | 3-12 | 3-12 | 5-20 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Lessons learned, Action items, Event summary | Simulation Notes, Gaps List, Updated Runbooks | Learning Review Notes, System Factors, Improvement Actions |
Tagsno overlap | EstimationBacklogRelative sizing | LearningOperationsImprovement | ResilienceOperationsIncident | LearningRetrospectiveIncidentOperations |