Should we build social features?

Last updated: May 29, 2026

Quick Overview

Your team is considering building a social feed. How would you evaluate this decision?

Scale AI
Product / Decision Making
Data Scientist
Scale AI
May 29, 2026
Data Scientist
Take-home Project
Product / Decision Making
Easy

10

6

3,727 solved


Your team is considering building a social feed. How would you evaluate this decision?

This product question from Scale AI's Take-home Project 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
User research and problem identification
Data-informed decision making
Competitive analysis
User segmentation and personas
Prioritization frameworks (RICE, ICE)
Platform and network effects
How to Approach This
  1. Start with the user. Who are they, what problem do they have, and what is their current workaround?
  2. Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
  3. Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
  4. Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
  • How would you sequence the rollout across different user segments?
  • How would you decide to kill this feature if it's not working?
  • How would you handle pushback from engineering on feasibility?
  • How would you validate this idea before committing engineering resources?
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