Your question is Diagnose Neighborhood Wait Time Spike. 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 are supporting operations analytics for an autonomous ride-hailing service. In one neighborhood, median rider wait time on the Waymo app increased from 5.0 minutes to 6.0 minutes week over week, a 20% spike, while the broader city stayed roughly flat at 5.1 minutes. The increase started suddenly on Tuesday afternoon and has persisted for four days. There were no citywide pricing changes, but there was a recent service area adjustment and a software release earlier in the week.
If rider wait times in a specific neighborhood suddenly spike by 20%, what steps would you take to diagnose the root cause?