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Product Management Root Cause Analysis Question: Investigating sudden drop in Facebook Messenger daily active users

Asked at Meta

15 mins

Imagine you are PM at Facebook. You walk into your office one day and see Messenger DAU are down by 10%. Why?

Data Analysis Problem Solving Strategic Thinking Social Media Messaging Tech
User Engagement Messaging Apps Data Analysis Facebook Root Cause Analysis

Introduction

A 10% drop in Messenger's Daily Active Users (DAU) is a significant issue that demands immediate attention and a thorough investigation. As the PM at Facebook, I'll approach this problem systematically, considering various factors that could contribute to such a substantial decline in user engagement.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • What's the exact time frame for this 10% DAU drop?

  • Are there any specific user segments more affected than others?

  • Have we recently rolled out any major updates or changes to Messenger?

  • Are there any known technical issues or outages during this period?

  • Has the method for measuring DAU changed recently?

  • Are we seeing similar trends in other Facebook products or is this isolated to Messenger?

Why these questions matter: Understanding the context and scope of the issue is crucial for accurate analysis. Hypothetical answers could significantly alter our approach:

  1. Time frame: If it's a sudden drop, it might indicate a technical issue. If gradual, it could suggest a shift in user behavior or competitive pressure.
  2. User segments: Knowing if it's affecting specific demographics or regions could point to localized issues or cultural shifts.
  3. Recent updates: A new feature or UI change could be driving users away if poorly received.
  4. Technical issues: Outages or bugs could explain a temporary drop in usage.
  5. Measurement changes: Ensuring our metrics are consistent is crucial for accurate analysis.
  6. Cross-product trends: This helps determine if it's a Messenger-specific issue or a broader Facebook ecosystem problem.

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