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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.
Complexitydifferent
MediumLowMedium
Timedifferent
30-90 min2-5 min je Item30-90 min
Participantsdifferent
1-63-93-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListRelative Estimates, Assumption Notes, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
DecisionTreeOptions
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats