Introduction
To improve Wayfair's product review system and provide more helpful information for potential buyers, we need to analyze the current system, identify pain points, and propose innovative solutions. I'll outline a comprehensive approach to enhance the review experience, focusing on user needs, data quality, and engagement.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the scope of the improvement and potential impact on different product segments. Expected answer: Millions of reviews across diverse categories, with furniture and home decor having the highest volume. Impact on approach: Would focus on scalable solutions and category-specific improvements.
Why it matters: Helps identify the most critical areas for improvement and potential trust barriers. Expected answer: Moderate satisfaction, with concerns about review authenticity and relevance. Impact on approach: Would prioritize solutions that enhance credibility and user confidence.
Why it matters: Ensures that improvements to the review system reinforce Wayfair's competitive advantages. Expected answer: Wayfair focuses on variety and customization; the review system could better support these aspects. Impact on approach: Would explore ways to highlight product customization experiences in reviews.
Why it matters: Determines the feasibility of advanced solutions and integration with existing systems. Expected answer: Some AI used for product recommendations, potential for expansion to review analysis. Impact on approach: Would consider AI-driven solutions for review summarization and sentiment analysis.
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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