Your question is Diagnose Sample Ratio Mismatch in Ops Test. 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 work on an operations workflow in a marketplace app, and you’ve launched an A/B test on a new dispatch rule. Midway through the experiment, the treatment and control counts look unexpectedly uneven, and stakeholders are asking whether the result is still trustworthy.
How would you handle sample ratio mismatch in this operational experiment, and how would you decide whether the test can still be used for a ship decision?