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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
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 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.When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.
Complexitysame
MediumMediumMediumMedium
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down30-90 min30-90 min30-60 min
Participantsdifferent
2-4 pro Pitch3-123-122-6
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesBucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
PlanningDeliveryAutonomy
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
BacklogIterationDelivery
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