Your question is Finding Flight Drop-Off Friction. 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).
Given a dataset containing flight search and booking history, how would you identify the top three friction points causing users to drop off before purchasing?