Lisa Qian lays out the process for a successful A/B test, from defining a goal and hypothesis, to knowing when to end the test. The most rigorous form of data-gathering when done right, A/B tests can't be run by guesswork or gut instinct.
Lisa is a data scientist at Airbnb, where she focuses on search and discovery. Prior to joining Airbnb, Lisa completed a PhD in Applied Physics at Stanford University. Outside of data science, Lisa enjoys playing the violin and road biking.