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| Criterion |  Product Discovery User Story Mapping |  Operations ABC Analysis |  Agile Affinity Estimation |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 2-4 h | 30-60 min | 30-90 min | 30-90 min |
Participantsdifferent | 4-10 | 1-5 | 3-12 | 3-12 |
Formatdifferent | Workshop | Async | Workshop | Workshop |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | ABC Classification, Focus Rules, Control List | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | BacklogJourneyPlanningMVP | PrioritizationOperationsPortfolio | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |