Back to cases
DoorDashProduct SenseHard~30 min
Dispatch Dilemma
DoorDash is launching in Austin (sprawling, car-dependent) and Portland (compact, bike-friendly). The current dispatch algorithm optimizes solely for distance-to-restaurant and was trained on suburban markets. It systematically under-assigns bike Dashers in dense areas. Design an experiment to test city-optimized dispatch.
Duration
~30 minutes
Difficulty
Hard
Free
Your first session · then $3 per session
- ~30 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
Marketplace experiment designGeo-level vs. user-level randomizationBias detection in algorithm designTwo-sided marketplace metrics
Interview stages
1
Identify the algorithm bias
2
Design the experiment
3
Define guardrails and interpret results
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.