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Criterion
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
45-90 min30-90 min30-90 min30-90 min
Participantsdifferent
2-81-63-123-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Decision Matrix, Scoring Rationale, Selected OptionDecision Tree, Option Map, Assumption ListBucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
DecisionCriteriaScoringTradeoffs
DecisionTreeOptions
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
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