Should we build AI-powered search?
Last updated: December 6, 2025
Quick Overview
Your team is considering building a social feed. How would you evaluate this decision?
Twitter/X
December 6, 202554
8
3,277 solved
Your team is considering building a social feed. How would you evaluate this decision?
This product question from Twitter/X's Onsite goes beyond feature brainstorming. The interviewer expects a framework-driven approach that considers market dynamics, user segmentation, and data-informed decision making.
What the Interviewer Expects
- Identify the target user and their core problem
- Propose reasonable solutions with basic prioritization
- Define 2-3 key success metrics
- Consider basic trade-offs and risks
Key Topics to Cover
How to Approach This
- Start with the user. Who are they, what problem do they have, and what is their current workaround?
- Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
- Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
- Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
- How would you validate this idea before committing engineering resources?
- What competitive response would you expect and how would you prepare?
- What would you do if usage data contradicts user feedback?
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Browse Product QuestionsSample Answer
Problem Framing
The core problem we need to evaluate is whether building an AI-powered search functionality will enhance user engagement and retention on Twitter/X. This involves understanding how users currently int...
User & Market Context
The primary users for the proposed AI-powered search feature are active Twitter users who seek real-time information, including news enthusiasts, marketers, and influencers. These users value quick ac...
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