Have you ever wanted a crystal ball that would predict the best A/B test to boost your product’s growth, or identify which part of your UI drives a target metric? With a statistical model and a SHAP decision plot, you can identify impactful A/B test ideas in bulk. The Indeed Interview team used this […]
All posts categorized in: A/B Testing
Time-Tested: 7 Ways to Improve Velocity When A/B Testing a New UX
A/B testing holistic redesigns can be tough. Here at Indeed, we learned this firsthand when we tried to take our UX from this to this: The Indeed mobile Search Engine Results Page (SERP) circa mid-2017 (left) and circa mid-2018 (right) Detailed description of image The before and after image includes two screenshots: one of […]
Using Proctor for A/B Testing from a Non-Java Platform
We’re excited to announce the open sourcing of proctor-pipet, a tool we created that allows you to deploy Proctor as a remote service. proctor-pipet is a Java web application that exposes Proctor as a simple REST API accessible over HTTP. This means that you can do A/B testing in applications written in non-JVM languages like Python. […]
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