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Criterion
Paper illustration of a horizontal story map with an activity backbone, task cards below it and a cross-map release line.
Product Discovery
User Story Mapping
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitysame
MediumMediumMedium
Timedifferent
2-4 h30-90 min30-90 min
Participantsdifferent
4-103-121-6
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Story Map, Release Slices, Backlog CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsDecision Tree, Option Map, Assumption List
Tagsno overlap
BacklogJourneyPlanningMVP
EstimationBacklogRelative sizing
DecisionTreeOptions
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem