Back to cases
DoorDashProduct SenseHard~25 min

Wrong Order Prediction System

Wrong orders are one of DoorDash's biggest customer pain points and refund cost drivers. You've been asked to design a machine learning system that minimizes wrong orders — but you first need to clarify what 'minimize' means and where in the pipeline to intervene.

Wrong orders are one of DoorDash's biggest customer pain points and refund cost drivers.

Duration
~25 minutes
Difficulty
Hard
Free
Your first session · then $3 per session
  • ~25 minute AI-powered mock interview
  • Realistic interviewer pushback
  • Stage-by-stage debrief with ratings
  • Signal coverage map
  • Reference response for comparison

Sign up free with Google · No card required

Skills tested
ML system designProblem framingPrecision/recall tradeoffsFeature engineering
Interview stages
1
Frame the problem
2
Feature engineering
3
Precision vs. recall tradeoffs
What you'll get back

After the session, you'll get a detailed debrief: stage-by-stage ratings (Strong / Developing / Weak), a signal coverage map showing which key points you hit, specific feedback on your reasoning and communication, and a reference response to compare against.

Related guide