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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Surveys method illustration showing its working structure
UX Research
Surveys
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
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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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
30-90 min3-14 Tage20–45 min1-3 h
Participantsdifferent
1-650+Small cross-functional group3-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListSurvey Results, Charts, Segment InsightsRisk list, Mitigation plan, Assumption logFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
DecisionTreeOptions
QuantitativeResearchValidation
RiskDecisionFailurePlanning
FailureResilienceRisk
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