What You'll Learn
Learn to identify unrealiable winners by inspecting segments.See if there is a primacy/novelty effect in your data.Find personalisation opportunities in your audience.Debug unrealiable results by finding the problematic segment.This Webinar Is For You If
This talk is for you if:
You want to increase confidence in your results by identifying problematic tests.You are new to A/B tests and do not segment your results by audience.You want to personalise your page for different audience segments.There is an A/A test winner or an SRM in your test that you need to debug.After this talk, you will be able to get advanced insights by segmenting your data.
Hi, I am Ishan Goel, a statistician, educator and founder of Thinking Bell.
I previously led data science research at VWO, where I built VWO's Stats Engine.
Today, I teach experimentation statistics through analogies, simulations, games, doodles and real-world problems, making difficult statistical ideas intuitive and useful.
I have also taught experimentation and statistics to cross-functional teams across product, marketing and data, including a 60-person training programme at The Economist.
My goal is simple: help people reason confidently about experiments without turning them into statisticians.
Stat-Talk #5