Should we build dark mode?

Last updated: May 20, 2026

Quick Overview

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

Lyft
Product / Decision Making
Product Manager
Lyft
May 20, 2026
Product Manager
Phone Screen
Product / Decision Making
Easy

7

10

50 solved


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

Product questions at Lyft test your ability to think like a product leader. This Phone Screen question evaluates how you balance user needs, business goals, and technical constraints when making product decisions.

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
Prioritization frameworks (RICE, ICE)
Growth loops and retention
Platform and network effects
Competitive analysis
User segmentation and personas
User research and problem identification
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 would you do if usage data contradicts user feedback?
  • What competitive response would you expect and how would you prepare?
  • How would you decide to kill this feature if it's not working?
  • How would you handle pushback from engineering on feasibility?
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Sample Answer
Problem Framing

To evaluate whether Lyft should build a dark mode for a new social feed feature, we need to frame the problem by understanding the user base and context. The primary question is: "How can we enhance u...

User & Market Context

The target users are primarily Lyft riders aged 18-35, who are tech-savvy and value aesthetics and usability in apps. These users often share moments from their rides on social media and may appreciat...


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