Stat-Talk #2

Stat-Talk #2

Simplifying Stats of A/B Testing

Simplifying Stats of A/B Testing

Simplifying Stats of A/B Testing

Making Sense of Data

Making Sense of Data

Making Sense of Data

Set the sample size. Interpret statistics. Take the right decisions.

Set the sample size. Interpret statistics. Take the right decisions.

Set the sample size. Interpret statistics. Take the right decisions.

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60 Mins

60 Mins

60 Mins

Live with Ishan Goel, who built VWO's Stats Engine.

Live with Ishan Goel, who built VWO's Stats Engine.

Live with Ishan Goel, who built VWO's Stats Engine.

What You'll Learn

checkSetting an appropriate MDE and sample size before the test.
checkInterpreting 4 numbers that matter in your A/B Test Report.
checkAsking 7 questions to make the right decisions in your test.

This Webinar Is For You If

This talk is for you if you have struggled with the following questions

checkYou have seen uplifts in tests but don't understand which ones are trustworthy.
checkYou have deployed winners in the past, but looking back you are not sure if they worked.
checkYou are unsure when to stop a test and save visitors, and when to keep them running.

After this talk, you will be able to run your tests with basic understanding of statistics.

Learn with

Learn with

Ishan Goel

Ishan Goel

Built the Stats Engine at VWO

Built the Stats Engine at VWO

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

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 #2

Simplifying Stats of A/B Testing

Making Sense of Data

Time