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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.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.The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min20–45 min2-3 h30-60 min
Participantsdifferent
1-6Small cross-functional group3-81-5
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logCompleted Lean UX Canvas, Hypothesis list, First experimentCompleted Experiment Canvas, Success Metric
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
CanvasHypothesisOutcomesDiscovery
ExperimentsValidationDiscoveryHypothesis
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