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| Criterion |  Agile Bucket System |  Product Discovery Kano Model |  Agile Affinity Estimation |  Operations ABC Analysis |
|---|---|---|---|---|
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. | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 1-2 Tage | 30-90 min | 30-60 min |
Participantsdifferent | 3-12 | 10-50 | 3-12 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Kano Matrix, Feature Classes, Priority Themes | Affinity Size Map, Grouped Estimates, Unclear Items | ABC Classification, Focus Rules, Control List |
Tagsno overlap | EstimationBacklogRelative sizing | SatisfactionPrioritizationCustomer | EstimationBacklogRelative sizing | PrioritizationOperationsPortfolio |