Klaviyo Data Science Podcast Ep 13 | How to run a product experiment

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

Making your product experiments count

We’ve talked about quite a few aspects of data science on this podcast, but one that’s perhaps conspicuously absent so far is running experiments on your product. It’s no secret that experiments provide extraordinarily high-quality data to help you make decisions, but it’s also no secret that you only get good experimental results if you run good experiments. You’ll hear about running a good experiment and more, including:

• How experimentation fits into the design cycle
• What sorts of changes can drive unexpectedly large growth
• How to understand and adapt to counterintuitive results

Resources

• Evan Miller’s A/B testing guide: https://www.evanmiller.org/ab-testing/

Who’s who

• Michael Lawson, Senior Data Scientist
• Eric Gravlin, Lead Product Designer
• Hannah McGrath, Product Analyst II

Edited by: Michael Lawson, Aaron Goeglein

Logo by: Griffin Drigotas, Ally Hangartner from Klaviyo Design