Should we build social features?

Last updated: January 31, 2026

Quick Overview

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

LinkedIn
Product / Decision Making
Data Scientist
LinkedIn
January 31, 2026
Data Scientist
Onsite
Product / Decision Making
Hard

62

6

1,366 solved


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

This product question from LinkedIn'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
  • Demonstrate strategic product thinking beyond feature-level decisions
  • Analyze second-order effects and long-term ecosystem impact
  • Balance multiple stakeholder needs with clear trade-off rationale
  • Design experiments to validate key assumptions before building
  • Consider platform effects, network effects, and marketplace dynamics
  • Propose a phased rollout strategy with go/no-go criteria
Key Topics to Cover
Growth loops and retention
Success metrics and KPIs
Product strategy and vision
Platform and network effects
Competitive analysis
User segmentation and personas
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
  • What competitive response would you expect and how would you prepare?
  • What would you do if usage data contradicts user feedback?
  • How would you decide to kill this feature if it's not working?
  • How would you sequence the rollout across different user segments?
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