A/B testing has become a cornerstone of data-driven decision-making, but the focus on conducting experiments at scale is often overlooked. This talk aims to bridge the gap by addressing the challenge of accelerating A/B testing and significantly increasing the volume of experiments performed. Throughout the session, we will explore a range of methods and techniques that can boost experimentation speed. We will discuss the potential trade-offs and considerations associated with each method, ensuring to give a comprehensive picture.
Technical level: Technical practitioner
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