The part that tripped me up was the 'versus waiting' framing at the end.
Use the STAR method to structure your answer, focusing on a specific project where you had to make decisions with incomplete information. Highlight the options you considered, the risks you mitigated, and the measurable outcomes that showed success. Emphasize your ability to balance speed and quality, and how you leveraged data and feedback to course-correct.
Pro tip: Amazon values 'Bias for Action' and 'Deliver Results', so show how you took calculated risks and owned the outcome. Quantify the impact (e.g., 'reduced latency by 20%') and mention any mechanisms you put in place to monitor success and iterate.
Briefly describe the project, your role, and why information was missing (e.g., unclear requirements, new technology, time pressure).
Explain the alternative approaches you considered, weighing factors like speed, cost, scalability, and user impact.
Detail the risks you identified and the steps you took to reduce them, such as prototyping, feature flags, or incremental rollouts.
Describe how you moved forward, what metrics or feedback you tracked, and how you adjusted based on new information.
Conclude with the outcome, including quantifiable results, and reflect on what you learned or would do differently.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.