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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighHighMedium
Timedifferent
20–45 min1-4 Wochen2-6 h45-60 min
Participantsdifferent
Small cross-functional group1-63-102-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryFMEA Table, Risk Priority, Mitigation ActionsAssumption map, Test backlog, Risk ranking
Tagsno overlap
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
RiskQualityOperationsRoot cause
AssumptionsRiskExperimentsValidation
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