What factors are contributing to the sudden 30% increase in customer support tickets related to QGenda's time tracking module?

Introduction

The sudden 30% increase in customer support tickets related to QGenda's time tracking module 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 strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change. Has there been any update to the time tracking module in the past month?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a minor update was released two weeks ago. Impact on approach: If confirmed, we'd focus on the update's specifics and rollout process.

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

Why it matters: Helps identify if it's a targeted issue or a system-wide problem. Expected answer: Tickets are primarily from new users onboarded in the last quarter. Impact on approach: If true, we'd investigate the onboarding process and new user experience.

• Thinking about the nature of the tickets, I'm wondering about the content. What are the top 3 issues reported in these tickets?

Why it matters: Reveals patterns in user difficulties and potential system weak points. Expected answer: Login issues, data syncing problems, and confusion about new features. Impact on approach: Would guide our technical investigation and user education efforts.

• Considering external factors, has there been any change in how we're measuring or categorizing support tickets?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or categorization. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new methodology.