Your question is Experiment Speed vs Statistical Rigor. 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).
You're running product experiments on surfaces like Asana Inbox, task creation, or project onboarding. The team wants results quickly, but shorter tests and repeated looks at the data can weaken inference.
How would you think about the trade-off between faster experimentation and statistical rigor?