How Spotify Analyzes Thousands of A/B Tests With Confidence
Confidence (spotify-confidence on PyPi) is an open source python library that has been used to analyse experiments at Spotify for more than four years and is now also an integrated part of Spotify's internal experimentation platform, where it's used to automatically analyse thousands of experiments every year. In this talk we will discuss its benefits, demonstrate how to use it, and talk about what lies ahead.
Erik Stenberg is a Data Scientist working on the Experimentation Platform team at Spotify in Stockholm, but with roots in Lerum outside of Göteborg. He got his masters in statistics from Uppsala university in 2019, and wrote his thesis on variance reduction methods in sequential A/B testing at Spotify.
