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Criterion
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h20–45 min1-3 h1-4 Wochen
Participantsdifferent
3-8Small cross-functional group1-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Failure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsRisk list, Mitigation plan, Assumption logFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
FailureResilienceRisk
RiskDecisionFailurePlanning
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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