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Product Management Root Cause Analysis Question: Investigating Netflix search filter malfunction causes and solutions
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Vinay

Updated Dec 12, 2024

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Why are Netflix search filters not working for 35% of queries?

Problem Solving Data Analysis Technical Understanding Streaming Services Entertainment Technology
User Experience Data Analysis Netflix Root Cause Analysis Search Functionality

Introduction

Netflix's search functionality is a critical component of its user experience, directly impacting content discovery and viewer engagement. The reported issue of search filters not working for 35% of queries is a significant concern that requires immediate attention and a thorough root cause analysis.

In this analysis, we'll systematically investigate the potential causes, validate our hypotheses, and develop a comprehensive plan to address the issue. We'll consider technical, user behavior, and product-related factors while also examining potential external influences.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the scope, I'm thinking this might be a recent issue. Has there been a sudden spike in filter failures, or has it been gradually increasing over time?

Why it matters: This helps determine if it's related to a recent change or a long-term trend. Expected answer: A sudden spike within the last week. Impact on approach: A sudden spike would focus our investigation on recent changes, while a gradual increase might indicate a systemic issue.

  • Given the specific 35% figure, I'm assuming we have robust tracking in place. Can you confirm our data collection methods for search filter performance?

Why it matters: Ensures we're working with accurate data and not facing a measurement issue. Expected answer: Confirmation of reliable tracking systems. Impact on approach: If tracking is unreliable, we'd need to address data collection before proceeding with root cause analysis.

  • Considering user segments, I'm wondering if this issue is affecting all user types equally. Do we see any patterns in terms of device types, regions, or user demographics?

Why it matters: Helps narrow down potential technical or localization issues. Expected answer: The issue is more prevalent on mobile devices and in certain regions. Impact on approach: This would focus our investigation on mobile-specific issues or regional infrastructure.

  • Thinking about recent updates, have there been any significant changes to the search algorithm or UI in the past month?

Why it matters: Recent changes could be directly related to the filter issues. Expected answer: A minor update to the search UI was rolled out two weeks ago. Impact on approach: This would make us prioritize investigating the recent UI changes and their potential impact on filter functionality.

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