Description: Subject to Revision
Subject to Revision
This post was co-written with Emily Robinson , co-author of Build A Career in Data Science .
A/B tests are a powerful tool used by thousands of companies, from small start-ups to tech giants to companies founded in the 1850s . While they sound simple in theory, remember that “getting numbers is easy, getting numbers you can trust is hard!” Mistakes can be costly – we’ve caught and fixed multi-million dollar issues. To make A/B testing useful, you need to design the experiment well, check data trustworthiness, run some statistics, oversee an experimentation platform, and effectively communicate resu