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How would you improve Facebook Search?

Difficultyproduct designAsked at Meta (Facebook)

Question Explain

This question is putting your product management skills to the test. The interviewer wants to know if you are able to identify potential improvements to an existing, popular product, in this case, Facebook Search. They are gauging your critical thinking skills, your understanding of user-experience (UX) design, and your creativity. To answer this question, you should:

  1. Describe any problems or limitations you see with the current Facebook Search design.
  2. Discuss your proposed solution(s) and how it/they would improve the user experience.
  3. Keep your answer focused on the search feature specifically, not Facebook as a whole.

Answer Example 1

I think Facebook Search could improve by providing more customizable or advanced search features. Currently, the search function is quite generic and may not always yield the most relevant results for users.

To improve this, Facebook could incorporate filters into their search mechanism to allow users to refine results by factors such as relationship to the user, location, or mutual friends. This would enhance the user experience by facilitating more effective searches.

An additional improvement could be implementing a feature that allows users to save search queries. This could be particularly beneficial for users who frequently search for similar content, making the process more convenient and efficient for them.

Answer Example 2

I believe an area for improvement within Facebook Search is in its ability to effectively surface the most relevant content. At the moment, the search function seems to place more emphasis on recency rather than relevance.

One enhancement could be the integration of machine learning systems into the search algorithm. This could help prioritize results based on a user’s engagement history, presenting the most likely sought-after content first.

Another potential improvement is for Facebook to provide "suggested search queries" based on trending topics, or personalized according to the user's browsing history and likes. This would not only enhance the search user experience but could also facilitate user engagement with trending conversations or popular topics.

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