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| Criterion |  Operations PDCA Cycle |  Operations Root Cause Tree Analysis |  Agile Affinity Estimation |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 1-8 | 2-8 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Cause Tree, Evidence Notes, Countermeasures | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | Continuous improvementLeanExperiments | Root causeTreeIncidentQuality | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |