Introduction
Google Docs' auto-save functionality failing for 25% of documents is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.
I'll approach this problem by first clarifying the issue's context, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps determine if it's a new bug or a long-standing issue. Expected answer: It's a recent spike in the last week. Impact on approach: A sudden spike would point towards recent changes or external factors.
Why it matters: Identifies if it's a universal problem or specific to certain user groups. Expected answer: It's more prevalent in larger documents and on mobile devices. Impact on approach: Would focus our investigation on mobile infrastructure and large document handling.
Why it matters: Could pinpoint a specific change that introduced the issue. Expected answer: A backend update was rolled out two weeks ago. Impact on approach: Would prioritize investigating that update's impact on auto-save functionality.
Why it matters: Provides direct clues about the nature of the failure. Expected answer: There's an increase in timeout errors during auto-save attempts. Impact on approach: Would focus on network connectivity and server response times.
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