Design metrics for social features
Last updated: April 6, 2026
Quick Overview
What metrics would you use to measure the success of a social feed? How would you set up tracking?
Lyft
April 6, 202626
7
3,316 solved
What metrics would you use to measure the success of a social feed? How would you set up tracking?
Lyft asks this during the Take-home Project to assess your product sense and structured thinking. They want to see how you define the problem, identify the target user, prioritize features, and measure success.
What the Interviewer Expects
- Apply a structured framework for product thinking (user, problem, solution, metrics)
- Segment users and identify differentiated needs
- Prioritize features using a clear framework (RICE, ICE, impact vs effort)
- Define comprehensive success metrics across the user funnel
- Consider competitive dynamics and market positioning
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
- What would you do if usage data contradicts user feedback?
- How would you sequence the rollout across different user segments?
- What competitive response would you expect and how would you prepare?
- How would you decide to kill this feature if it's not working?
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Browse Product QuestionsSample Answer
Problem Framing
To scope the problem of measuring the success of a social feed for Lyft, we need to define what 'success' looks like in the context of enhancing user engagement and community building. The social feed...
User & Market Context
Our primary users are Lyft riders, particularly those who frequently engage with the platform for ridesharing and community interaction. Within this segment, younger users (ages 18-35) who are more in...
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