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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Scrum with its method-specific working model.
Agile
Scrum
Paper illustration for Bucket System.
Agile
Bucket System
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 team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries.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 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 min1-4 Wochen je Sprint, laufend30-90 min30-60 min
Participantsdifferent
3-123-10 (Scrum Team)3-122-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsProduct Backlog, Sprint Backlog, Increment, Sprint GoalBucketed Backlog, Relative Estimates, Split CandidatesSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationBacklogRelative sizing
AgileIterationCadence
EstimationBacklogRelative sizing
BacklogIterationDelivery
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