Product design question
How would you enhance the AI-driven recommendation system at Flipkart.
- Flipkart
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Whether the candidate can identify concrete weaknesses in an existing recommendation system and propose improvements grounded in e-commerce specifics.
How to approach it
- Clarify scope: homepage recommendations, product page 'similar items', or post-purchase suggestions, since each has different goals.
- Name likely pain points: over-recommending already-purchased or out-of-stock items, and weak personalization for infrequent or new shoppers (the cold start problem).
- Prioritize by impact: cold start for new users likely limits conversion the most, since Flipkart depends heavily on first-time buyer conversion.
- Propose improvements: blending collaborative filtering with contextual signals (festival season, browsing session intent) and using category-level popularity for new users until enough data exists.
- Define success as click-through rate and conversion rate on recommended items, segmented by new versus returning shoppers.
What a strong answer includes
- Names the cold start problem specifically as a known, concrete weakness rather than a vague 'improve personalization' answer.
- Ties the fix to Flipkart's context, such as festival sale seasonality, showing grounded understanding of the business.
- Segments the success metric by new versus returning users, since the fix targets one segment specifically.
Common mistakes
- Proposing generic machine learning improvements without naming a specific weakness like cold start.
- Measuring only overall click-through rate without segmenting by user type.
Likely follow-up questions
- How would you evaluate a new recommendation model before fully rolling it out?
- What would you do if personalization improves clicks but not actual purchases?
More product design questions
- How would you go about designing a new location sharing app for Google?Google · Product design · Medium
- You are a PM at Flipkart. The company has decided to increase the userbase of age >60 years on the platform. What will you do?Flipkart · Product design · Hard
- How would you improve YouTube?Spotify · Product design · Easy
- How would you improve Google Drive?Google · Product design · Easy
- How would you design a consumer application for a scooter sharing business?Google · Product design · Medium
- How would you increase retention for Oyo Rooms?Flipkart · Product design · Medium
More questions from Flipkart
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop