Your question is Mitigating Experimentation Pitfalls. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What are some common experimentation pitfalls, such as sample ratio mismatch or network effects, and how do you mitigate them?
Discuss how you would detect and respond to the most important risks in an online A/B test. Cover at least four pitfalls, including their impact on validity, diagnostic checks, and mitigation strategies. Include how you would distinguish a trustworthy result from one affected by implementation or analysis problems.