ab-test-plan

SKILLFlujo de trabajocomunidad
v0.0.0indranilbanerjeeMITActualizado hace 6 dFuente →

Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers

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hace 6 dÚltima actualización
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Autorindranilbanerjee
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
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Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on \"/digital-marketing-pro:ab-test-plan\", \"set up an A/B test\", \"how long should my test run\"

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