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| Criterion |  Agile Affinity Estimation |  UX Research Contextual Inquiry |  Agile Example Mapping |  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. | When work processes are known only from accounts and the real context stays hidden, Contextual Inquiry makes behavior at the workplace visible. Observation and follow-up questions together show how people actually work, get interrupted, and improvise. | 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 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 | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-3 Wochen | 30-60 min | 30-90 min |
Participantsdifferent | 3-12 | 4-12 Beobachtungen | 3-7 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Field Notes, Workflow Insights, Pain Points | Example Map, Acceptance Criteria, Open Questions | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | UX researchObservationContext | Behavior-Driven DevelopmentRequirementsExamplesRefinement | EstimationBacklogRelative sizing |