What factors are contributing to the sudden 30% increase in support tickets related to Riverbed Technology's AppResponse network performance monitoring tool this month?

Introduction

The sudden 30% increase in support tickets related to Riverbed Technology's AppResponse network performance monitoring tool this 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.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent product update. Has there been any significant change to AppResponse in the last 30-60 days?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a major update was released 45 days ago. Impact on approach: If true, I'd focus on change-related issues; if not, I'd look at external factors or gradual degradation.

• Considering user segments, I'm curious about the distribution. Are these tickets coming from a specific customer segment 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 enterprise customers. Impact on approach: If segmented, I'd investigate segment-specific factors; if widespread, I'd look at core functionality issues.

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

Why it matters: Reveals patterns in user problems and potential root causes. Expected answer: Performance slowdowns, data inaccuracies, and integration issues. Impact on approach: Would guide my technical investigation and hypothesis formation.

• Considering potential external factors, has there been any significant change in network traffic patterns or customer environments recently?

Why it matters: External changes could impact tool performance without internal changes. Expected answer: No major external changes noted. Impact on approach: If yes, I'd investigate adaptability of our tool; if no, I'd focus more on internal factors.