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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
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.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.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.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
45-90 min30-90 min45-120 min30-90 min
Participantsdifferent
2-83-122-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Matrix, Scoring Rationale, Selected OptionAffinity Size Map, Grouped Estimates, Unclear ItemsTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesDecision Tree, Option Map, Assumption List
Tagsno overlap
DecisionCriteriaScoringTradeoffs
EstimationBacklogRelative sizing
TradeoffsDecisionCriteriaOptions
DecisionTreeOptions
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