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| Criterion |  Agile Affinity Estimation |  Agile Bucket System |  Operations Learning Review |  DevOps Game Day |
|---|---|---|---|---|
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. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 30-90 min | 30-90 min | 1-3 h | Halber Tag |
Participantsdifferent | 3-12 | 3-12 | 3-10 | 5-20 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates | Learning Review Notes, System Factors, Improvement Actions | Simulation Notes, Gaps List, Updated Runbooks |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | LearningRetrospectiveIncidentOperations | ResilienceOperationsIncident |