I went straight to 'yes obviously' without really justifying it, which felt sloppy in retrospect.
Start by clarifying the question's scope and Wayfair's business context, then argue for the necessity of reviews by linking to customer trust and conversion metrics. Structure your answer by first justifying the feature, then outlining a phased design and build plan that balances user needs, technical trade-offs, and business impact.
Pro tip: Anchor your answer in Wayfair's unique context—high-consideration furniture purchases where returns are costly—and emphasize how reviews reduce uncertainty and return rates, not just drive conversions.
Ask clarifying questions about Wayfair's current state (e.g., existing reviews, business goals) and restate the problem to ensure alignment. Briefly highlight Wayfair's business model and customer pain points.
Argue why reviews are essential for Wayfair: they build trust, reduce purchase anxiety for high-ticket items, lower return rates, and improve SEO. Use data or logical reasoning to support the need.
Outline key design components: review collection (incentives, post-purchase emails), display (sorting, filtering, photos), and moderation (fake review detection). Prioritize features based on user impact and effort.
Discuss build approach: buy vs. build, scalability, data storage, and integration with existing systems. Consider MVP vs. full rollout, and metrics for success (e.g., conversion lift, return rate reduction).
Define success metrics and a feedback loop for continuous improvement. Mention A/B testing, monitoring review quality, and iterating based on user behavior.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.