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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
LowMediumMediumLow
Timedifferent
5-20 min30-90 min30-90 min30-90 min
Participantsdifferent
3-201-63-122-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsDecision Tree, Option Map, Assumption ListBucketed Backlog, Relative Estimates, Split CandidatesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
EstimationEffortRisk
DecisionTreeOptions
EstimationBacklogRelative sizing
ConstraintsDecisionPlanningOptions
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