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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.
Complexitydifferent
LowHighMedium
Timedifferent
5-20 min1-4 h or multiple rounds30-90 min
Participantsdifferent
3-204-12 Experten1-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsEstimate Range, Assumption Log, Expert Consensus NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
EstimationEffortRisk
EstimationExpertsForecasting
DecisionTreeOptions
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis