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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

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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.

Recorded at:

Mar 01, 2015

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