ab-test-plan

SKILLWorkflowcommunauté
v0.0.0indranilbanerjeeMITMis à jour il y a 6 jSource →

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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il y a 6 jDernière mise à jour
Skill
Auteurindranilbanerjee
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptOuvrir (voir l’onglet Prompt)
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Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

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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