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Criterion
Paper illustration of Scrum with its method-specific working model.
Agile
Scrum
Paper illustration of Acceptance Criteria Workshop with a method-specific labelled workspace.
Agile
Acceptance Criteria Workshop
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries.When a story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update.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
MediumLowLowMedium
Timedifferent
1-4 Wochen je Sprint, laufend20-40 min pro Story30-90 min30-90 min
Participantsdifferent
3-10 (Scrum Team)3-62-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Product Backlog, Sprint Backlog, Increment, Sprint GoalAcceptance Criteria, Story UpdateConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
AgileIterationCadence
AgileRequirementsRefinementBehavior-Driven Development
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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