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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bucket System.
Agile
Bucket System
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 decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
30-90 min60-90 min30-90 min30-90 min
Participantsdifferent
1-64-103-123-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListProblem Cluster, Prioritized Challenge, ExperimentAffinity Size Map, Grouped Estimates, Unclear ItemsBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
DecisionTreeOptions
FacilitationDecisionProblem solvingWorkshop
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
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