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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Purposedifferent
On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk 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.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 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
MediumMediumMediumLow
Timedifferent
15-45 min30-90 min30-90 min5-20 min
Participantsdifferent
1-81-63-123-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
PERT Estimate, Expected Value, Risk NotesDecision Tree, Option Map, Assumption ListBucketed Backlog, Relative Estimates, Split CandidatesEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
EstimationUncertaintyRisk
DecisionTreeOptions
EstimationBacklogRelative sizing
EstimationEffortRisk
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