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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
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 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.When a topic gets stuck too quickly in the same thinking mode, Six Thinking Hats deliberately separates the perspectives. This means facts, risks, creativity, and emotional signals get worked through one after another instead of mixed together.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min30-90 min2-5 min je Item45-90 min
Participantsdifferent
1-63-123-94-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListAffinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split CandidatesPerspective Notes, Decision Inputs, Action Items
Tagsno overlap
DecisionTreeOptions
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
FacilitationOptionsDecision
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