The potential for distorted outcomes due to small sample sizes, the impact of outside factors on outcomes, the risk of implementing changes based on statistically insignificant findings, and the misinterpretation of data are some of the obstacles and pitfalls associated with A/B testing. It takes careful thought and reliable techniques to overcome these obstacles and obtain valuable insights from A/B testing.