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Product Management Root Cause Analysis Question: Investigating sudden increase in Monday.com mobile app notification support tickets

What's causing the sudden increase in customer support tickets related to Monday.com's mobile app's notification system?

Problem-Solving Data Analysis Technical Understanding SaaS Project Management Productivity Tools
User Experience Product Analytics Root Cause Analysis Notification Systems Mobile App Troubleshooting

Introduction

The sudden increase in customer support tickets related to Monday.com's mobile app's notification system signals a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of potential causes, data analysis, and hypothesis formation. We'll then move on to root cause analysis, validation steps, and finally, 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)

  • I'm noticing the emphasis on "sudden increase." Has there been any recent app update or server-side change?

Why it matters: Recent changes often correlate with sudden shifts in user behavior or system performance. Expected answer: A recent update was pushed last week. Impact on approach: If confirmed, we'd focus on changes introduced in that update.

  • Are these notification-related tickets concentrated in a specific user segment or spread across all users?

Why it matters: Helps determine if it's a universal issue or specific to certain user groups. Expected answer: Primarily affecting enterprise users. Impact on approach: We'd investigate enterprise-specific features or settings if confirmed.

  • Has there been any change in the volume or type of notifications being sent recently?

Why it matters: Changes in notification patterns could overwhelm or confuse users. Expected answer: No significant changes in volume or type. Impact on approach: If true, we'd focus more on delivery mechanisms rather than content.

  • Are users reporting specific error messages or just general dissatisfaction with notifications?

Why it matters: Specific error messages can point directly to technical issues. Expected answer: Mix of specific errors and general complaints. Impact on approach: We'd categorize and prioritize based on error specificity.

  • Have we seen any unusual spikes in app usage or user growth recently?

Why it matters: Rapid growth can strain systems and reveal scalability issues. Expected answer: Steady growth, no unusual spikes. Impact on approach: If confirmed, we'd look more at system performance under normal load.

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