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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
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
Purposedifferent
When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
20-45 min1-3 h30-90 min20–45 min
Participantsdifferent
Based on research question3-81-6Small cross-functional group
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Content groups, Label set, IA hypothesesFailure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsDecision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption log
Tagsno overlap
Information architectureNavigationStructure
FailureResilienceRisk
DecisionTreeOptions
RiskDecisionFailurePlanning
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