A/B testing is a powerful tool in the world of data analysis, but it’s not without its pitfalls. In this comprehensive guide, we’ll explore some of the most common mistakes that data analysts make when conducting A/B tests and provide valuable insights on how to avoid them. Whether you’re a seasoned pro or just getting started, this post will help you navigate the tricky waters of A/B testing with confidence.
