I went straight into defining what the badge means to customers and started listing criteria like ratings, price, and shipping speed.
Start by clarifying the goal of Amazon's Choice: to help customers quickly find highly-rated, well-priced products that are likely to meet their needs, while driving sales for Amazon. Then, walk through a structured product design process: identify user needs, define success metrics, design the feature (including algorithm and UI), and consider trade-offs and risks.
Pro tip: Emphasize that Amazon's Choice is not just a badge but a system that balances customer trust, seller incentives, and Amazon's business goals. Discuss how you would prevent gaming and ensure fairness to maintain long-term trust.
Ask clarifying questions to understand the scope: Is this for a specific category or all products? What are the primary goals (e.g., increase conversion, reduce search effort)? Define what success looks like.
Identify the target users (e.g., busy shoppers, gift buyers) and their pain points: too many choices, uncertainty about quality, price concerns. Explain how Amazon's Choice addresses these by providing a trusted recommendation.
Propose key metrics such as click-through rate, conversion rate, customer satisfaction (e.g., returns, reviews), and seller metrics (e.g., sales lift, fairness). Include guardrail metrics like trust and long-term customer retention.
Outline the algorithm: factors like customer reviews, ratings, price competitiveness, shipping speed, and return rate. Describe the UI: badge placement, explanation tooltip, and how it integrates with search and product pages.
Discuss potential risks: bias toward Amazon private label, seller manipulation, and impact on smaller sellers. Propose mitigation strategies and how to iterate based on data and feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.