You and your team might spend a lot of time building a new feature. But how do you know if this feature will be liked by the users? One of the ways to statistically prove this is by using A/B testing. Listen to this episode to get tips, tricks and intuition behind hypothesis testing, alpha, beta, p-values, two-sample t-tests and more.
These understandings have been learnt from experiences deploying A/B tests in the field, and talking to experts.
These ideas are typically not covered in traditional A/B testing texts which tend to focus a lot on math without the intuition, and that's why I really wanted to cover it in this podcast episode. Thanks for listening! I'd really appreciate your support for this podcast. Follow the link below.
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