How do I approach Analytics & Experimentation interview questions?

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

What difficulty level is this interview question?

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

What role is this question designed for?

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

Track Metrics to Measure Push Notification Quality

Quick Overview

This question evaluates a data scientist's competency in defining and measuring push-notification quality by selecting relevant engagement, retention, and opt-out/uninstall metrics, setting thresholds, and designing randomized experiments to validate a notification-selection algorithm.

Scenario

A consumer mobile app sends push notifications to drive user engagement. You need to evaluate the quality of these notifications, define what constitutes “high-quality,” and design a rigorous experiment to validate a new notification-selection algorithm at launch.

Assumptions (minimal):

You can randomize at the user level and collect event-level telemetry (send, delivered, opened/tapped, session starts, conversions, opt-outs, uninstalls).
Platforms include iOS and Android; weekly seasonality exists.

Questions

Metrics: Which metrics would you track to measure push-notification quality? Include engagement, retention, and opt-out signals.
Thresholds: How would you define and set thresholds for “high-quality” notifications?
Experiment: Design an experiment to evaluate a new push-notification algorithm at launch. Specify units of randomization, key metrics and guardrails, sample size/power, duration, and rollout safeguards.

Hints: Consider engagement, retention, opt-outs, control vs. treatment setup, and sample size.

Quick Overview

Scenario

Assumptions (minimal):

You can randomize at the user level and collect event-level telemetry (send, delivered, opened/tapped, session starts, conversions, opt-outs, uninstalls).

Platforms include iOS and Android; weekly seasonality exists.

Questions

Metrics: Which metrics would you track to measure push-notification quality? Include engagement, retention, and opt-out signals.

Thresholds: How would you define and set thresholds for “high-quality” notifications?

Experiment: Design an experiment to evaluate a new push-notification algorithm at launch. Specify units of randomization, key metrics and guardrails, sample size/power, duration, and rollout safeguards.

Hints: Consider engagement, retention, opt-outs, control vs. treatment setup, and sample size.

Track Metrics to Measure Push Notification Quality

Quick Overview

Scenario

Questions

Solution

Submit Your Answer to Earn 20XP

Track Metrics to Measure Push Notification Quality

Quick Overview

Scenario

Questions

Solution

Submit Your Answer to Earn 20XP