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Product Management Root Cause Analysis Question: Investigating sudden increase in support tickets for time tracking module
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Nextsprints

Updated Jan 22, 2025

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Asked at Exxat

15 mins

What factors contributed to the sudden 35% increase in support tickets related to Exxat's time tracking module last month?

Problem Solving Data Analysis Technical Understanding Healthcare IT Workforce Management SaaS
User Experience Root Cause Analysis Time Tracking SaaS Troubleshooting Support Tickets

Introduction

The sudden 35% increase in support tickets related to Exxat's time tracking module last month is a critical issue that demands immediate attention and thorough analysis. This unexpected surge in user complaints could indicate underlying problems with the product's functionality, user experience, or recent changes. To address this effectively, we'll follow a systematic approach to identify the root cause, validate our hypotheses, and develop 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 timing, I'm thinking there might have been a recent update. Has there been any significant change or update to the time tracking module in the past 1-2 months?

Why it matters: Recent changes often correlate with sudden increases in support tickets. Expected answer: Yes, there was a minor update to improve performance. Impact on approach: If confirmed, we'd focus on the update's specifics and potential unintended consequences.

  • Considering user segments, I'm curious about the distribution. Are these support tickets coming from a specific user group or spread across all users?

Why it matters: Helps identify if the issue is widespread or localized to a particular segment. Expected answer: The increase is seen across all user groups, but slightly higher in new users. Impact on approach: If concentrated in new users, we'd look at onboarding processes and documentation.

  • Thinking about the nature of the complaints, I'm wondering about the content. What are the most common issues reported in these support tickets?

Why it matters: Identifies specific areas of the module causing problems. Expected answer: Most tickets relate to difficulties in logging hours or syncing with other systems. Impact on approach: Would guide our technical investigation and user experience analysis.

  • Considering external factors, I'm curious about any changes in client usage patterns. Has there been any significant increase in overall system usage or new client onboarding during this period?

Why it matters: External factors could explain increased support needs without indicating a product issue. Expected answer: Usage has remained relatively stable, with a small increase in new clients. Impact on approach: If usage spike confirmed, we'd need to assess scalability and performance under load.

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