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Product Management Root Cause Analysis Question: Investigating increased buffering time for Facebook Watch long videos
Image of author vinay

Vinay

Updated Dec 6, 2024

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Asked at Meta

15 mins

Why has Facebook Watch buffering time increased by 30% for long videos?

Data Analysis Problem Solving Technical Understanding Social Media Streaming Services Digital Entertainment
User Experience Facebook Performance Optimization Root Cause Analysis Video Streaming

Introduction

Facebook Watch's 30% increase in buffering time for long videos is a critical issue that demands immediate attention. This performance degradation directly impacts user experience, potentially leading to reduced engagement and retention. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the specificity of the issue, I'm wondering about the exact definition of "long videos." Could you clarify what duration qualifies as a long video on Facebook Watch?

Why it matters: This helps us focus our investigation on the correct subset of content. Expected answer: Videos longer than 10 minutes. Impact on approach: If shorter, we might look at different encoding or delivery mechanisms.

  • Considering the magnitude of the increase, I'm curious about the timeframe. Over what period did we observe this 30% increase in buffering time?

Why it matters: It helps identify potential correlations with recent changes or events. Expected answer: The increase occurred over the last month. Impact on approach: A sudden spike might indicate a specific trigger event, while a gradual increase could suggest a cumulative effect.

  • Given the nature of video streaming, I'm thinking about geographical variations. Are we seeing this buffering increase uniformly across all regions, or are some areas more affected than others?

Why it matters: This could point to infrastructure or CDN issues in specific locations. Expected answer: The issue is more pronounced in certain regions. Impact on approach: If localized, we'd focus on regional infrastructure; if global, we'd look at core systems.

  • Considering user behavior, I'm wondering about the device breakdown. Is this buffering increase consistent across all devices (mobile, desktop, smart TVs), or is it more prevalent on certain platforms?

Why it matters: Device-specific issues could indicate problems with particular apps or optimizations. Expected answer: The issue is more noticeable on mobile devices. Impact on approach: If device-specific, we'd investigate app performance and mobile optimizations.

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