Why have support ticket resolution times for Commvault's Intelligent Data Services Platform doubled in the last month?

Introduction

The doubling of support ticket resolution times for Commvault's Intelligent Data Services Platform in the last month 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 platform in the last 1-2 months?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.

• Considering user segments, I'm wondering if this is affecting all customers equally. Are we seeing this increase across all customer types or is it concentrated in specific segments?

Why it matters: Helps identify if it's a universal issue or specific to certain users. Expected answer: The issue is more pronounced in enterprise customers. Impact on approach: If segmented, we'd investigate those specific user groups more closely.

• Given the nature of support tickets, I'm curious about the types of issues being reported. Has there been a shift in the categories of support tickets being submitted?

Why it matters: Changes in ticket types could indicate new product issues or user confusion. Expected answer: There's been an increase in data migration-related tickets. Impact on approach: We'd focus on specific features or processes related to the dominant ticket types.

• Thinking about system capacity, I'm wondering if there have been any changes in overall platform usage. Has there been a significant increase in data volume or user activity in the past month?

Why it matters: Increased load could strain system resources and impact performance. Expected answer: Data volume has grown by 30% in the last quarter. Impact on approach: If yes, we'd investigate scalability issues; if no, we'd look at other factors.