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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door 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.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
MediumHighLowMedium
Timedifferent
15-45 min1-4 Wochen1-5 Tage1-5 Tage
Participantsdifferent
1-81-6NutzertrafficNutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
PERT Estimate, Expected Value, Risk NotesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
EstimationUncertaintyRisk
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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