I had a story ready but second-guessed it halfway through because the mistake felt too small.
Choose a real, specific error from the past 1-2 years that had meaningful stakes but was recoverable. Use a structured narrative (e.g., STAR) to show ownership, the corrective actions you took, and the measurable outcome. Emphasize what you learned and how you applied it to prevent recurrence, aligning with Amazon's bias for action and ownership.
Pro tip: Avoid errors that are trivial or that blame others; instead, pick one where you had clear ownership and the fix required cross-functional collaboration. Quantify the impact of both the error and the recovery to demonstrate customer obsession and deliver results.
Briefly describe the project, your role, and the decision or judgment call that went wrong. Keep it concise and focused on the error itself.
State clearly that it was your error, without deflecting blame. Show self-awareness and accountability.
Explain the immediate steps you took to mitigate the impact and the longer-term actions to prevent recurrence. Highlight collaboration with stakeholders.
Quantify the outcome: what was the impact of the error, and what was the result of your corrective actions? Use metrics if possible.
Summarize what you learned and how you've applied that learning to subsequent decisions or projects. Show growth and maturity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.