I rambled a bit about impact vs effort and then tried to tie it back to customer value, which felt like the right instinct for Amazon.
Start by framing prioritization as a customer-obsessed, data-driven process that balances impact, effort, and strategic alignment. Then walk through a structured framework that shows how you evaluate opportunities and make trade-offs, using a concrete example to demonstrate your approach. Finally, emphasize how you communicate decisions and iterate based on feedback.
Pro tip: Tie your prioritization criteria directly to Amazon's Leadership Principles, such as Customer Obsession and Deliver Results, and mention how you use mechanisms like Working Backwards to ensure you're solving the right problems.
Begin by defining the customer problem and desired outcome, ensuring alignment with the company's vision and customer obsession. Use data and customer feedback to validate the opportunity.
Evaluate each initiative based on potential customer impact, business value, and required effort (e.g., using RICE or weighted scoring). Consider dependencies and risks.
Check how the initiative supports strategic goals, such as market expansion, competitive differentiation, or operational efficiency. Ensure it fits the long-term roadmap.
Prioritize based on the highest impact-to-effort ratio and strategic fit, using frameworks like Kano or MoSCoW. Be prepared to say no to low-value requests.
Share the rationale with stakeholders, gather feedback, and adjust as new information emerges. Use mechanisms like weekly business reviews to track progress.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.