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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Purposedifferent
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 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.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 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
LowLowMediumMedium
Timedifferent
20–45 min20-45 min30-90 min1-3 h
Participantsdifferent
Small cross-functional groupBased on research question1-63-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Risk list, Mitigation plan, Assumption logContent groups, Label set, IA hypothesesDecision Tree, Option Map, Assumption ListFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
RiskDecisionFailurePlanning
Information architectureNavigationStructure
DecisionTreeOptions
FailureResilienceRisk
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