Why has the average time to resolve support tickets for BetterCloud's data loss prevention feature doubled in the past quarter?

Introduction

The doubling of average time to resolve support tickets for BetterCloud's data loss prevention feature over the past quarter 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 have been a recent product update. Has there been any significant change to the data loss prevention feature in the last quarter?

Why it matters: Product changes often impact support ticket resolution times. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the update's impact on complexity and user experience.

• Considering user segments, I'm curious about the distribution of ticket types. Has there been a shift in the nature of support tickets being submitted?

Why it matters: Changes in ticket complexity can significantly affect resolution times. Expected answer: There's been an increase in complex tickets. Impact on approach: If confirmed, we'd investigate why users are encountering more complex issues.

• Thinking about support team capacity, has there been any change in staffing or training for the support team handling these tickets?

Why it matters: Support team changes can directly impact resolution times. Expected answer: No significant changes in the support team. Impact on approach: If unchanged, we'd focus more on product and user-related factors.

• Regarding system performance, have there been any reported issues with the tools or systems used to manage and resolve these tickets?

Why it matters: Technical issues can slow down ticket resolution processes. Expected answer: Some intermittent system slowdowns reported. Impact on approach: If confirmed, we'd prioritize technical infrastructure in our analysis.