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Product Management Root Cause Analysis Question: Facebook Stories usage decline investigation

Asked at Meta

15 mins

Facebook Stories usage is down by 30%. What would you do?

Data Analysis Problem Solving Strategic Thinking Social Media Technology Digital Advertising
Social Media Product Strategy User Engagement Data Analysis Root Cause Analysis

Introduction

The recent 30% decline in Facebook Stories usage is a significant issue that requires immediate attention and a thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify the root cause, validate our hypotheses, and develop both short-term and long-term solutions. Our goal is to not only address the current usage drop but also to strengthen the product's position and prevent similar issues in the future.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

To gain a comprehensive understanding of the situation, I'd like to ask the following questions:

  • What specific metrics are we using to measure Stories usage, and how are they calculated?

  • Over what time period has this 30% decline occurred?

  • Are there any specific user segments (e.g., age groups, regions) that show a more pronounced decline?

  • Have there been any recent product changes or updates to Facebook Stories?

  • How does this decline compare to overall Facebook usage trends?

  • Are we seeing similar trends in competing products like Instagram Stories or Snapchat?

Why these questions matter:

  1. Metric definition: Ensures we're addressing the right problem and not misinterpreting data.
  2. Time period: Helps identify potential external factors or seasonal trends.
  3. User segments: Allows for targeted analysis and solutions.
  4. Product changes: Could reveal internal factors contributing to the decline.
  5. Overall usage: Provides context for whether this is a Stories-specific issue or part of a broader trend.
  6. Competitor comparison: Helps determine if this is an industry-wide phenomenon or specific to Facebook.

Hypothetical answers and their impact:

  1. Metric: Daily Active Users (DAU) of Stories. Impact: Focuses our analysis on user engagement rather than content creation.
  2. Time period: Last 3 months. Impact: Suggests a recent, sustained issue rather than a temporary fluctuation.
  3. User segments: Significant decline among users aged 18-24. Impact: Indicates a potential loss of younger users, crucial for long-term platform health.
  4. Product changes: Recent update to Stories algorithm. Impact: Points to a possible internal cause that can be addressed directly.
  5. Overall usage: Stable. Impact: Suggests the issue is specific to Stories, not a general Facebook decline.
  6. Competitors: Stable usage. Impact: Indicates a Facebook-specific problem rather than an industry trend.

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