D7: Root Cause Analysis for Incorrect DoorDash Orders

How to diagnose a restaurant's order accuracy crisis without burning days on the wrong hypothesis

Every leader has had this moment. You’re staring at the dashboard, and one restaurant—just one—has an error rate that’s suddenly three times higher than everyone else. Wrong items. Missing food. Angry customers.

Here’s how to diagnose the problem systematically.

D7: Root Cause Analysis for Incorrect DoorDash Orders

Interview Question: “We’re seeing a higher than average number of incorrect orders from a specific restaurant partner. What data would you explore to diagnose the cause?”

Clarify the Problem

First, I’d clarify what “incorrect orders” means—wrong items? Missing items? Wrong modifications? Wrong quantities? This matters because each points to different failure modes.