Confidence intervals

We have a column for the a/b testing analytics report - Confidence intervals. This should help you make better decisions and understand the impact of your a/b tests better.

Hypothesis field

We've added a hypothesis field, which you can use to describe your hypothesis for each test for future reference.

Full-stack/API experiments and feature flags

You can now create a/b tests that can be run directly in your code using a new full-stack type of experiment. Use our JS API to run the experiment and pull parameters assigned to each variation to experiment with your UI components and other complex scenarios.

Go to our JS API docs page to learn more about how to use them: https://docs.personizely.net/js-api