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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 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 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.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.
Complexitydifferent
LowMediumLowMedium
Timedifferent
60-90 min30-90 min30-90 min30-90 min
Participantsdifferent
4-103-122-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentAffinity Size Map, Grouped Estimates, Unclear ItemsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
EstimationBacklogRelative sizing
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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