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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk 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.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 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
MediumHighLowLow
Timedifferent
15-45 min1-4 Wochen20–45 min1-5 Tage
Participantsdifferent
1-81-6Small cross-functional groupNutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
PERT Estimate, Expected Value, Risk NotesExperiment results, Decision log, Learning summaryRisk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
EstimationUncertaintyRisk
ExperimentsGrowthAnalyticsValidation
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
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