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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 for Smoke Test.
Product Discovery
Smoke Test
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowHighHighLow
Timedifferent
20–45 min1-4 Wochen2-6 h1-5 Tage
Participantsdifferent
Small cross-functional group1-63-10Nutzertraffic
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryFMEA Table, Risk Priority, Mitigation ActionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
RiskQualityOperationsRoot cause
ValidationExperimentsDemandGrowth
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