Product design question

How would you improve Flipkart?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Product improvement for a major e-commerce platform: identifying a real friction point in a well-known app and proposing a targeted fix.

Identify a specific area to improve, such as product discovery, search relevance, or post-purchase delivery tracking.
Diagnose the pain point, like search results showing irrelevant or out-of-stock items frequently.
Propose a concrete fix, like improved search ranking that deprioritizes out-of-stock items and highlights higher-rated sellers.
Consider trade-offs, since Flipkart's marketplace model means sellers may push back on ranking changes affecting their visibility.
Define success as improved search-to-purchase conversion rate and reduced search abandonment.

Names a specific, plausible friction point (search relevance) rather than a vague 'make the app better.'
Proposes a concrete ranking change, like deprioritizing out-of-stock listings, addressing a common complaint in marketplaces.
Acknowledges the seller-side trade-off, showing awareness of Flipkart's two-sided marketplace dynamics.
Uses an assumed metric, e.g. targeting a 5 percent lift in search-to-purchase conversion.

Chapters of the AI PM course that teach what this question tests.