They want the full arc here: what happened, who got hit by it, what you actually did in the moment, and what changed after.
Choose a real mistake with meaningful impact but no catastrophic consequences, and focus on your systematic handling: detection, root cause analysis, resolution, and prevention. Show ownership without excessive self-blame, and emphasize the concrete changes you made to avoid recurrence.
Pro tip: Quantify the impact and the fix (e.g., 'reduced error rate by 90%') and mention how you shared the lesson with the team—DoorDash values engineers who improve systems, not just code.
Describe the project, your role, and the state of the system before the mistake. Keep it concise so you can spend most time on handling and learning.
State what you did wrong and its impact without deflecting blame. Use 'I' statements and avoid passive voice.
Detail how you investigated the issue—logs, metrics, reproduction—and identified the underlying cause, not just the symptom.
Explain how you fixed the immediate problem and what systemic changes you implemented to prevent recurrence (e.g., tests, monitoring, process changes).
Summarize what you learned, how you grew, and how you shared the lesson with your team or organization to create broader value.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying the user impact and business goals, then walk through a systematic approach covering detection, user communication, and resolution options. Emphasize cross-functional collaboration with restaurant partners and engineering solutions that balance user experience with operational constraints.
Pro tip: Frame your answer around minimizing user friction and maximizing order completion rate, while acknowledging the need for restaurant accountability and real-time inventory accuracy.
Explain how the system detects an item is out of stock (e.g., restaurant marks it, real-time inventory sync) and how to confirm it's not a false positive.
Evaluate the impact on the order (e.g., single item vs. multiple items) and determine possible resolutions: substitution, removal, or cancellation.
Design clear, timely notifications to the customer explaining the issue and presenting options, with a default action if no response.
Work with the restaurant to confirm stock, suggest substitutions, and involve support for refunds or escalations if needed.
Propose engineering solutions (e.g., real-time inventory APIs, automated substitution suggestions) and metrics to measure success and improve over time.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.