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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration for Bucket System.
Agile
Bucket System
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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 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.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 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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
60-90 min30-90 min30-90 min30-90 min
Participantsdifferent
4-103-121-63-12
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentBucketed Backlog, Relative Estimates, Split CandidatesDecision Tree, Option Map, Assumption ListAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
EstimationBacklogRelative sizing
DecisionTreeOptions
EstimationBacklogRelative sizing
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