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Product Management Root Cause Analysis Question: Investigating Kindle highlight saving failures and their impact on user experience

Why are Kindle highlights not saving for 30% of attempts?

Problem Solving Data Analysis Technical Understanding E-commerce Digital Publishing Cloud Services
User Experience Amazon Root Cause Analysis E-Reader Technology Cloud Sync

Introduction

The Kindle highlights saving issue affects 30% of attempts, impacting user experience and potentially undermining the core value proposition of the e-reader platform. 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 failure rate, I'm wondering about the scope. Is this 30% failure rate consistent across all Kindle devices and apps, or is it specific to certain versions?

Why it matters: Helps narrow down potential hardware or software-specific issues. Expected answer: Varies across devices/apps. Impact on approach: Focus on specific platforms or a system-wide investigation.

  • Considering user behavior, have we seen any changes in highlight frequency or length recently?

Why it matters: Could indicate user-driven factors or changes in content. Expected answer: No significant changes observed. Impact on approach: Shift focus to technical or system-related causes.

  • Thinking about recent updates, has there been any change to the highlighting feature or related backend systems in the past month?

Why it matters: Identifies potential correlation with recent changes. Expected answer: Minor update to sync algorithm. Impact on approach: Investigate the update's impact on highlight saving.

  • Regarding data integrity, are we confident in the accuracy of the 30% failure rate, and how is this metric being tracked?

Why it matters: Ensures we're addressing a real issue, not a measurement error. Expected answer: Metric is accurate, tracked through server-side logs. Impact on approach: Proceed with root cause analysis, focusing on server-side issues.

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