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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Acceptance Criteria Workshop with a method-specific labelled workspace.
Agile
Acceptance Criteria Workshop
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of a yellow story card, blue rule cards, green example cards and a red question card on a light workspace.
Agile
Example Mapping
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 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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound.
Complexitydifferent
MediumLowLowLow
Timedifferent
30-90 min20-40 min pro Story20–45 min30-60 min
Participantsdifferent
1-63-6Small cross-functional group3-7
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListAcceptance Criteria, Story UpdateRisk list, Mitigation plan, Assumption logExample Map, Acceptance Criteria, Open Questions
Tagsno overlap
DecisionTreeOptions
AgileRequirementsRefinementBehavior-Driven Development
RiskDecisionFailurePlanning
Behavior-Driven DevelopmentRequirementsExamplesRefinement
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