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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Change Analysis.
Operations
Change Analysis
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.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.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
LowMediumLowHigh
Timedifferent
20–45 min45-120 min1-5 Tage1-4 Wochen
Participantsdifferent
Small cross-functional group2-6Nutzertraffic1-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logChange Matrix, Cause Hypotheses, Validation Questions, Action ListInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
ChangeRoot causeTroubleshootingComparison
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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