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Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

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This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Meta.

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This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Quality and frequency control for push notifications | Meta Interview Question

Quality and frequency control for push notifications

Last updated: Mar 29, 2026

Quick Overview

This question evaluates skills in analytics and experimentation, specifically notification quality metric design, detection of user fatigue versus re‑engagement, causal and observational analysis of opt‑outs/uninstalls, and algorithmic design for per‑user caps.

Push Notifications: Quality, Overload Mitigation, and Per‑User Caps

Context

You are a data scientist working on push notifications for a consumer app. Pushes increase re‑engagement but can cause fatigue that drives opt‑outs and uninstalls. Answer the following:

What metrics should you use to gauge notification quality?
Users complain about too many pushes—how would you improve the system?
Design a daily per‑user push cap algorithm that maximizes opens while avoiding uninstalls/opt‑outs.

Assume you have standard notification logs (send, deliver, open timestamps), app session logs, opt‑out/uninstall events, user features (timezone, locale, activity), and content metadata.

Solution

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