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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a MoSCoW board with four columns and a visible release boundary.
Delivery
MoSCoW
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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 release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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
MediumLowMediumLow
Timedifferent
30-90 min30-90 min45-90 min30-90 min
Participantsdifferent
1-63-122-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPrioritized Backlog, Release Scope, Tradeoff NotesDecision Matrix, Scoring Rationale, Selected OptionConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tags1 shared
DecisionTreeOptions
PrioritizationScopeDecision
DecisionCriteriaScoringTradeoffs
ConstraintsDecisionPlanningOptions
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