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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bucket System.
Agile
Bucket System
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
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.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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.
Complexitysame
MediumMediumMediumMedium
Timedifferent
30-90 min30-90 min30-90 min45-120 min
Participantsdifferent
3-123-121-62-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsBucketed Backlog, Relative Estimates, Split CandidatesDecision Tree, Option Map, Assumption ListTrade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides
Tagsno overlap
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
DecisionTreeOptions
TradeoffsDecisionCriteriaOptions
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