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

Klaviyo Data Science Podcast

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4y ago 34:09

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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

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#Business #Marketing #Michael Lawson