Topics
Make combinations of primary, guardrail and diagnostic metrics for maximum insights.Learn the 11 characteristics of metrics to judge if they suit your usecase.See how tech-companies like Google and Airbnb select their metrics.Audience
Join if you’ve ever faced these challenges in A/B testing:
You feel the metrics you use do not indicate how customers really behave.Your team hesitates to run experiments due to fears of hurting key metrics.Winning variants often turn out to be ineffective in production for unforeseen reasons.You suspect that your team is optimising key metrics, but lagged metrics don't improve.In this talk we will discuss how to tackle these challenges by choosing the right metrics.
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 I have authored the VWO Stats Blog. In 2025, I taught a statistics bootcamp for a team of 60 marketers, product managers and data scientists.
Join me to master experimentation with clarity, depth, and fun.
Stat-Talk #1
Choose the Right Metrics
Run More Insightful Experiments
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Join the 30-student cohort and master A/B testing stats through live classes, games, and community.