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Product Management Root Cause Analysis Question: Investigating Google Calendar reminder delivery failures

Asked at Google

15 mins

Why has Google Calendar reminder delivery failed for 40% of events?

Problem Solving Data Analysis Technical Understanding Tech Productivity Software Cloud Services
Google Root Cause Analysis Notification Systems Calendar Apps System Reliability

Introduction

Google Calendar's reminder delivery failure for 40% of events is a critical issue that demands immediate attention. This problem directly impacts user experience and trust in a core functionality of the product. I'll approach this analysis 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 widespread issue. Is this failure rate consistent across all user segments and device types?

Why it matters: Understanding the scope helps prioritize our investigation and potential solutions. Expected answer: The issue affects all user segments similarly, but mobile users are experiencing slightly higher failure rates. Impact on approach: If certain segments are more affected, we'd focus our investigation on those specific use cases or device types.

  • Considering recent changes, I'm wondering if there have been any updates to the reminder system in the past month. Have there been any deployments or infrastructure changes that coincide with the onset of this issue?

Why it matters: Recent changes often correlate with new issues and provide a starting point for investigation. Expected answer: A server-side update was deployed two weeks ago to improve reminder processing efficiency. Impact on approach: This would narrow our focus to the recent deployment and its potential unintended consequences.

  • Thinking about user behavior, I'm curious about the types of events affected. Are we seeing this failure more frequently with certain event types (e.g., recurring events, events with multiple reminders)?

Why it matters: Pattern recognition in affected events could point to specific system components or user behaviors causing the issue. Expected answer: Recurring events and events with multiple reminders show a higher failure rate. Impact on approach: We'd investigate the handling of complex event types and the reminder queuing system.

  • Considering system performance, I'm wondering about our current server load and capacity. Has there been any unusual spike in user activity or calendar events that might be overwhelming our systems?

Why it matters: System overload could explain widespread failures and guide our solution towards scaling infrastructure. Expected answer: Overall system load has remained stable, with no significant spikes observed. Impact on approach: This would shift our focus from infrastructure scaling to potential bugs or logic errors in the reminder system.

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