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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Option Framing.
Decision Making
Option Framing
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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
MediumMediumMedium
Timedifferent
30-90 min45-120 min30-90 min
Participantsdifferent
3-123-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsDecision Tree, Option Map, Assumption List
Tagsno overlap
EstimationBacklogRelative sizing
OptionsDecision framingStrategyComparison
DecisionTreeOptions
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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 illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method