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| Criterion |  Product Discovery User Story Mapping |  Decision Making Constraint 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | 30-90 min | 30-90 min | 30-90 min |
Participantsdifferent | 4-10 | 2-8 | 3-12 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | BacklogJourneyPlanningMVP | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |