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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Purposedifferent
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 h or multiple rounds30-90 min20–45 min5-20 min
Participantsdifferent
4-12 Experten1-6Small cross-functional group3-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesDecision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
EstimationExpertsForecasting
DecisionTreeOptions
RiskDecisionFailurePlanning
EstimationEffortRisk
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