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 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 a statistician, a teacher and the founder of Thinking Bell.
I am known for simplifying experimentation with analogies, doodles, and games that make decisions sharper and science practical.
I have led data science research at VWO and recently taught 60 leaders at The Economist. I have authored the VWO Stats Blog and have delivered 15+ talks for experimenters.
Join me to master experimentation with clarity, depth, and fun.
Stat-Talk #5
