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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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.
Complexitydifferent
LowMediumMedium
Timedifferent
5-20 min30-90 min30-90 min
Participantsdifferent
3-201-63-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsDecision Tree, Option Map, Assumption ListAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationEffortRisk
DecisionTreeOptions
EstimationBacklogRelative sizing
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis