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| Criterion |  Product Discovery User Story Mapping |  Operations DMAIC |  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. | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | 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 | High | Medium | Medium |
Timedifferent | 2-4 h | 2-12 Wochen | 30-90 min | 30-90 min |
Participantsdifferent | 4-10 | 3-10 | 3-12 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | BacklogJourneyPlanningMVP | Continuous improvementQualityProcess improvement | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |