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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
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 for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Purposedifferent
When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.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.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-2 Tage30-90 min20–45 min1-3 h
Participantsdifferent
Based on research question1-6Small cross-functional group3-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Findability Metrics, Path Analysis, Revised IADecision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
Information architectureNavigationFindability
DecisionTreeOptions
RiskDecisionFailurePlanning
FailureResilienceRisk
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