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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.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.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
LowHighLowHigh
Timedifferent
20–45 minHalber Tag1-5 Tage1-4 Wochen
Participantsdifferent
Small cross-functional group5-20Nutzertraffic1-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logSimulation Notes, Gaps List, Updated RunbooksInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
ResilienceOperationsIncident
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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