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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 of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
2-4 h6 Wochen Cycle + 2 Wochen Cool-Down30-90 min2-5 min je Item
Participantsdifferent
4-102-4 pro Pitch3-123-9
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Story Map, Release Slices, Backlog CandidatesPitches, Bet-table decisions, Hill charts, Cooldown outcomesAffinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
BacklogJourneyPlanningMVP
PlanningDeliveryAutonomy
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
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