Design metrics for social features

Last updated: December 20, 2025

Quick Overview

What metrics would you use to measure the success of push notifications? How would you set up tracking?

Reddit
Product / Decision Making
Data Scientist
Reddit
December 20, 2025
Data Scientist
Onsite
Product / Decision Making
Hard

3

4

2,123 solved


What metrics would you use to measure the success of push notifications? How would you set up tracking?

This product question from Reddit'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
Platform and network effects
Data-informed decision making
Competitive analysis
Prioritization frameworks (RICE, ICE)
User segmentation and personas
Growth loops and retention
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 handle pushback from engineering on feasibility?
  • How would you validate this idea before committing engineering resources?
  • What competitive response would you expect and how would you prepare?
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