How I Run A/B Tests in a Chrome Extension (Without Re-Releasing to the Store)
Hi, this is Alexey Belozerov, author of PerfectPixel, a pixel-perfect design comparison tool used by 350k people. At some point of product growth an owner needs to launch experiments and measure impact against a reference group - i.e. A/B testing. Browser extensions are no different. Unfortunately there isn't any lib or tool tailored for Chrome/web extension development specifically, so I've decided to write my own and open-source it.
Browser extensions specifics
Compared to websites, extensions have a long update cycle - each new version should pass moderation and the process of rollout into the userbase, which can take up to several weeks. So it's critical to have a way to manage experiments asynchronously.
Requirements for extensions A/B testing library
- Multiple experiments at a time
- Extension user should be assigned to an experiment branch and persist its state
- Remote kill switch and pin of the winning variant
- Work in service worker,...
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