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| Criterion |  Agile Affinity Estimation |  DevOps Game Day |  Operations Gemba Walk |  Agile Bucket System |
|---|---|---|---|---|
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. | 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. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 30-90 min | Halber Tag | 30-120 min | 30-90 min |
Participantsdifferent | 3-12 | 5-20 | 2-6 | 3-12 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Simulation Notes, Gaps List, Updated Runbooks | Observation Notes, Improvement Ideas | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | ResilienceOperationsIncident | LeanObservationProcessOperations | EstimationBacklogRelative sizing |