Causal Inference Methods for Bridging Experiments and Strategic Impact
Data Council via YouTube
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This 25-minute conference talk by Wenjing Zheng, Data Science Manager at Roblox, explores causal inference methodologies that connect controlled A/B testing results to strategic business decisions. Discover how to translate clean experimental measurements into actionable insights for messy real-world business choices. Learn techniques for attributing business growth to specific product launches and methods for generalizing experimental findings to broader populations. Gain valuable perspectives on developing a common measurement framework that links localized experimental outcomes to global business impact. Perfect for data scientists and business analysts seeking to strengthen the connection between experimental data and strategic decision-making.
Syllabus
Causal Inference Methods for Bridging Experiments and Strategic Impact
Taught by
Data Council