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Determine Success Metrics for Instagram Video-Call Feature

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in product analytics, experiment design, metric definition, and retention/engagement analysis for a social app's group video-call feature, focusing on practical application of adoption, activation, depth, retention, quality, and churn metrics.

  • medium
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Determine Success Metrics for Instagram Video-Call Feature

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario After shipping the group video-call MVP, Instagram needs to track whether the feature drives engagement and retention. ##### Question What business goals should define success for the new feature? Which engagement or retention metrics would you monitor and why? Should metrics measure overall app usage or the video-call module only? How would you define and calculate churn for this context? ##### Hints Connect feature-level metrics to higher-level KPIs (DAU/WAU/MAU, session time, churn, latency) and explain trade-offs.

Quick Answer: This question evaluates a data scientist's competency in product analytics, experiment design, metric definition, and retention/engagement analysis for a social app's group video-call feature, focusing on practical application of adoption, activation, depth, retention, quality, and churn metrics.

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Meta
Aug 4, 2025, 10:55 AM
Data Scientist
Technical Screen
Analytics & Experimentation
2
0

Instagram Group Video-Call MVP: Defining Success and Metrics

Context

You are the data scientist responsible for evaluating the group video-call MVP on Instagram. The feature is in a staged rollout. Leadership wants to know whether it increases meaningful engagement and improves user retention without harming overall app health.

Tasks

  1. Business Goals: What goals should define success for this feature (near-term and long-term)?
  2. Metrics: Which engagement and retention metrics would you monitor, and why? Include adoption, activation, depth, retention, and quality/latency.
  3. Scope: Should metrics focus on overall app usage, the video-call module only, or both? Explain trade-offs and how to connect feature-level metrics to app-level KPIs (e.g., DAU/WAU/MAU, session time, churn).
  4. Churn: How would you define and calculate churn in this context? Consider both app-level churn and feature-level churn.

Solution

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