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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bucket System.
Agile
Bucket System
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
MediumMediumHigh
Timedifferent
30-90 min30-90 min1-4 Wochen
Participantsdifferent
1-63-126-30 Experten
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListBucketed Backlog, Relative Estimates, Split CandidatesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB