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Product Management Root Cause Analysis Question: Netflix account settings not saving for 30% of users

Why are Netflix account settings not saving for 30% of users?

Problem Solving Technical Understanding Data Analysis Streaming Services Entertainment Technology
User Experience Root Cause Analysis API Management Bug Fixing Data Integrity

Introduction

Netflix's account settings not saving for 30% of users is a critical issue that directly impacts user experience and potentially affects 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 scope, I'm thinking this might be a recent issue. Has this 30% failure rate been consistent, or did it spike suddenly?

Why it matters: Helps determine if it's a new bug or an ongoing problem. Expected answer: It's a recent spike. Impact on approach: A sudden spike would point towards recent changes or external factors.

  • Considering user segments, I'm wondering if this affects all user types equally. Are we seeing any patterns in terms of device types, regions, or account types experiencing this issue?

Why it matters: Identifies if it's a universal problem or specific to certain user groups. Expected answer: It's more prevalent on mobile devices and in certain regions. Impact on approach: Would focus on mobile app architecture and regional server performance.

  • Thinking about system changes, have there been any recent updates to the account settings feature or related backend systems?

Why it matters: Could pinpoint a specific change that introduced the bug. Expected answer: A backend update was rolled out last week. Impact on approach: Would investigate the recent update and consider a rollback if necessary.

  • Considering data integrity, I'm curious about our monitoring systems. Are we confident in the accuracy of this 30% figure, and how is it being measured?

Why it matters: Ensures we're working with reliable data. Expected answer: The figure is accurate, based on server-side logs. Impact on approach: Would trust the data and focus on server-side issues rather than tracking problems.

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