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| Criterion |  Agile Bucket System |  Operations PDCA Cycle |  Operations Gemba Walk |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 30-90 min | 1 h bis mehrere Wochen | 30-120 min | 30-90 min |
Participantsdifferent | 3-12 | 1-8 | 2-6 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Observation Notes, Improvement Ideas | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | Continuous improvementLeanExperiments | LeanObservationProcessOperations | EstimationBacklogRelative sizing |