Your question is Avoiding 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 the most common experimentation pitfalls, and how do you mitigate selection bias?
Discuss this as a practical experimentation-design question. Cover how you would define the estimand, select and randomize eligible units, validate experiment integrity, size the test, and interpret results when assumptions fail.
Address the primary metric, guardrails, MDE, power, unit of randomization, sample ratio mismatch, peeking, novelty, interference, and selection bias. Include a concise analysis plan and a ship or do-not-ship rule.