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| Criterion |  Agile Affinity Estimation |  Product Discovery Context Canvas |  UX Research Contextual Inquiry |  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 an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 45-90 min | 1-3 Wochen | 30-90 min |
Participantsdifferent | 3-12 | 3-10 | 4-12 Beobachtungen | 3-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Context canvas, Open questions, Shared context notes | Field Notes, Workflow Insights, Pain Points | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | ContextFramingRequirementsCanvas | UX researchObservationContext | EstimationBacklogRelative sizing |