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| Criterion |  UX Research Customer Journey Mapping |  Product Discovery User Story Mapping |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | 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 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 2-4 h | 2-4 h | 30-90 min | 30-90 min |
Participantsdifferent | 4-10 | 4-10 | 3-12 | 3-12 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Story Map, Release Slices, Backlog Candidates | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | JourneyServiceService design | BacklogJourneyPlanningMVP | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |