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Design an app suggestion system for phones.
- Technical PM
- Top-Interview
- Easy
- 10 min
Focus on the key components that make an app suggestion system effective. Start by identifying the user data that can inform suggestions, such as app usage patterns, user preferences, and demographic information. Discuss the algorithms you might use for recommendations, such as collaborative filtering or content-based filtering. Consider the user interface and experience—how will suggestions be presented to users in a way that feels intuitive and engaging? Finally, think about how to incorporate user feedback to continually improve the system.
What this question tests
- Technical PM
- Structured problem solving
- Communication
- Trade-off reasoning
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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