Diagnosing an Instagram daily active user decline while monthly actives stay flat

Quick Overview

A metric diagnosis question about Instagram daily active users declining while monthly active users stay flat. It tests whether a candidate reads the relationship between the two metrics correctly, rules out data and seasonal causes, segments the drop to find its source, and proposes a fix with guardrails.

Diagnosing an Instagram daily active user decline while monthly actives stay flat

Company: Capital One

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

You are a product manager at Meta. Instagram's daily active users (DAU) are falling, while monthly active users (MAU) have stayed flat. How would you find the cause and fix it? ```hint Read the ratio first Before listing causes, work out what it means for a monthly audience of the same size to show up on fewer days. That tells you which kinds of explanation to check first. ``` ### Clarifying Questions - How large is the DAU decline, and did it appear suddenly or build over several weeks? - How is an active user defined for both metrics (any app open, or a meaningful action such as viewing content), and has that definition or its logging changed recently? - Is the decline worldwide, or concentrated on a platform (iOS, Android, web), in a region or in an app version? - Over what window has MAU been flat, and how do both metrics compare with the same weeks last year? ### What a Strong Answer Covers - A correct reading of the DAU and MAU relationship: visit frequency, not reach, is falling, and MAU lags because it is a trailing window - Ruling out data and logging problems, and seasonal or external causes, before product causes - Segmenting the decline by platform, region, user cohort, entry point and surface to localize it - Testable hypotheses about recent changes such as releases, ranking, notifications and content supply - A fix matched to the root cause, a way to confirm it worked, and guardrails against chasing DAU at any cost ### Follow-up Questions - You trace the decline to a cut in push notification volume that the team made to reduce complaints. Would you reverse it? - Leadership asks whether a lower DAU with a flat MAU is actually a problem. How do you answer? - The decline is concentrated among users who joined in the last few months. What does that change about your diagnosis?

Overview: A metric diagnosis question about Instagram daily active users declining while monthly active users stay flat. It tests whether a candidate reads the relationship between the two metrics correctly, rules out data and seasonal causes, segments the drop to find its source, and proposes a fix with guardrails.

Capital One logo
Capital One
Jan 26, 2026
mediumProduct ManagerOtherAnalytics & Experimentation
0
0

You are a product manager at Meta. Instagram's daily active users (DAU) are falling, while monthly active users (MAU) have stayed flat. How would you find the cause and fix it?

Clarifying Questions Guidance

  • How large is the DAU decline, and did it appear suddenly or build over several weeks?
  • How is an active user defined for both metrics (any app open, or a meaningful action such as viewing content), and has that definition or its logging changed recently?
  • Is the decline worldwide, or concentrated on a platform (iOS, Android, web), in a region or in an app version?
  • Over what window has MAU been flat, and how do both metrics compare with the same weeks last year?

What a Strong Answer Covers Guidance

  • A correct reading of the DAU and MAU relationship: visit frequency, not reach, is falling, and MAU lags because it is a trailing window
  • Ruling out data and logging problems, and seasonal or external causes, before product causes
  • Segmenting the decline by platform, region, user cohort, entry point and surface to localize it
  • Testable hypotheses about recent changes such as releases, ranking, notifications and content supply
  • A fix matched to the root cause, a way to confirm it worked, and guardrails against chasing DAU at any cost

Follow-up Questions Guidance

  • You trace the decline to a cut in push notification volume that the team made to reduce complaints. Would you reverse it?
  • Leadership asks whether a lower DAU with a flat MAU is actually a problem. How do you answer?
  • The decline is concentrated among users who joined in the last few months. What does that change about your diagnosis?