methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
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.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 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
30-90 min30-90 min6 Wochen Cycle + 2 Wochen Cool-Down30-60 min
Participantsdifferent
3-123-122-4 pro Pitch2-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsBucketed Backlog, Relative Estimates, Split CandidatesPitches, Bet-table decisions, Hill charts, Cooldown outcomesSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
PlanningDeliveryAutonomy
BacklogIterationDelivery
Add more methods