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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.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
LowMediumHighLow
Timedifferent
20–45 min10-30 min je Item1-4 Wochen1-5 Tage
Participantsdifferent
Small cross-functional group1-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logThree-Point Estimate, Risk Range, Assumption NotesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskDecisionFailurePlanning
EstimationUncertaintyForecasting
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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