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| Criterion |  Agile Example Mapping |  Agile Story Points |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | 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. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 30-60 min | laufend, 1-5 min je Item | 30-90 min | 30-90 min |
Participantsdifferent | 3-7 | 3-9 | 3-12 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Point Estimates, Reference Stories, Velocity Data | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | EstimationAgileMeasurement | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |