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Product Management Root Cause Analysis Question: Investigating Google Photos shared album loading issues

Asked at Google

15 mins

Why are Google Photos shared albums not loading for 45% of recipients?

Problem Solving Data Analysis Technical Understanding Cloud Storage Social Media Mobile Apps
User Experience Google Root Cause Analysis Cloud Storage API Troubleshooting

Introduction

Google Photos shared albums not loading for 45% of recipients is a critical issue that directly impacts user experience and the core functionality of the product. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the Google Photos ecosystem.

I'll approach this issue by first clarifying the problem's context, then ruling out external factors before diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

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 specific 45% figure, I'm wondering about the data source. Could you confirm if this percentage is based on server-side logs or client-side telemetry?

Why it matters: Understanding the data source helps determine the reliability of the metric and potential blind spots. Expected answer: Server-side logs Impact on approach: Server-side data might miss client-side issues, prompting investigation into front-end problems.

  • Considering the nature of shared albums, I'm curious about the timeline. Has this 45% non-loading rate been consistent, or did it spike recently?

Why it matters: A sudden spike could indicate a recent change or external event, while a consistent issue might suggest a long-standing problem. Expected answer: Recent spike in the last week Impact on approach: A recent spike would focus our investigation on recent changes or external factors.

  • Looking at user segments, I'm thinking about device types. Is this issue more prevalent on mobile devices, desktop, or evenly distributed?

Why it matters: Device-specific issues could narrow down the problem to certain platforms or browsers. Expected answer: More prevalent on mobile devices Impact on approach: Mobile prevalence would shift focus to mobile-specific factors like app versions or OS updates.

  • Considering potential system changes, have there been any recent updates to the sharing mechanism or content delivery network?

Why it matters: Recent changes often correlate with new issues and could provide a starting point for investigation. Expected answer: Minor update to sharing API last week Impact on approach: This would prioritize investigation of the API change and its potential downstream effects.

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