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Product Management Root Cause Analysis Question: Investigating streaming quality issues and support ticket surge for FuboTV
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Vinay

Updated Nov 28, 2024

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Why has customer support ticket volume related to streaming quality doubled in the past week for FuboTV?

Problem Solving Data Analysis Technical Understanding Streaming Services Sports Entertainment OTT Platforms
Data Analysis Product Metrics Root Cause Analysis Customer Support Streaming Quality

Introduction

The sudden doubling of customer support ticket volume related to streaming quality for FuboTV in the past week is a critical issue that demands immediate attention. This surge in complaints not only impacts user satisfaction but also strains support resources and potentially threatens customer retention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Given the abrupt increase, I'm wondering if there's been a recent product update. Has FuboTV rolled out any new features or changes to the streaming infrastructure in the past two weeks?

Why it matters: Recent changes often correlate with sudden spikes in support tickets. Expected answer: Yes, a new video compression algorithm was implemented. Impact on approach: If confirmed, we'd focus on the new algorithm's performance and rollback options.

  • Considering potential external factors, have there been any major sporting events or live broadcasts that could have stressed the system?

Why it matters: High-traffic events can expose underlying system weaknesses. Expected answer: The World Cup qualifiers started last week. Impact on approach: We'd investigate capacity planning and load balancing strategies.

  • Looking at user segmentation, are these issues concentrated in specific geographic regions or device types?

Why it matters: Localized problems can indicate network or device-specific issues. Expected answer: Complaints are primarily from West Coast users on smart TVs. Impact on approach: We'd focus on regional CDN performance and smart TV app optimization.

  • Regarding the nature of complaints, what specific quality issues are users reporting most frequently?

Why it matters: Different types of quality issues point to different root causes. Expected answer: Users are reporting frequent buffering and pixelation. Impact on approach: We'd investigate network congestion and adaptive bitrate streaming algorithms.

  • To ensure data integrity, has there been any change in how support tickets are categorized or processed in the last month?

Why it matters: Changes in ticket classification could artificially inflate numbers. Expected answer: No changes to the ticketing system have been made. Impact on approach: We'd focus on actual increases rather than data anomalies.

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