InfoQ Homepage Presentations Too Big to Fail: Running A/B Experiments When You're Betting the Bank
Too Big to Fail: Running A/B Experiments When You're Betting the Bank
Summary
Andrea Burbank discusses the risks, benefits, and lessons from running a single huge experiment with hundreds of moving parts, and with long-term engagement as the metric of success.
Bio
Andrea Burbank works as a data scientist at Pinterest, where she has led A/B testing for the past two years.
About the conference
Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.