Introduction
To improve Wish's product reviews system and make it more helpful for shoppers, we need to focus on enhancing the quality, relevance, and trustworthiness of reviews. I'll outline a strategic approach to address this challenge, considering user needs, technical feasibility, and business impact.
Step 1
Clarifying Questions (5 mins)
Why it matters: This will help tailor the review system to Wish's specific user base and product types. Expected answer: Wish targets budget-conscious shoppers with a wide range of affordable products, often from lesser-known brands or manufacturers. Impact on approach: Would focus on features that help users make informed decisions about unfamiliar products and sellers.
Why it matters: Determines if we need to design a globally consistent system or region-specific solutions. Expected answer: There are some variations in review engagement and trust across regions, but the core system is consistent globally. Impact on approach: Would consider features that can be customized or localized while maintaining a unified core experience.
Why it matters: Helps identify the most critical areas for improvement in the review system. Expected answer: There are basic verification measures, but fake reviews and reliability issues remain significant challenges. Impact on approach: Would prioritize features that enhance review authenticity and user trust.
Why it matters: Ensures that our solutions are optimized for the primary platforms used by Wish shoppers. Expected answer: Majority of users access Wish via mobile apps, with some desktop usage. Mobile review interactions face space and usability constraints. Impact on approach: Would focus on mobile-optimized features with consideration for cross-platform consistency.
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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