What factors are contributing to the recent 20% increase in support tickets related to Neo4j Aura, our fully managed cloud service?

Introduction

The recent 20% increase in support tickets related to Neo4j Aura, our fully managed cloud service, is a critical issue that demands immediate attention and a thorough root cause analysis. This surge in support requests not only impacts our customer satisfaction but also strains our support resources and potentially affects our reputation in the cloud database market.

To address this challenge, I'll employ a systematic approach that covers issue identification, hypothesis generation, validation, and solution development. My analysis will focus on uncovering the underlying factors contributing to this increase, considering both technical and user-centric aspects of our service.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in our service. Has there been any significant update or feature release for Neo4j Aura in the past month?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, we rolled out a major update two weeks ago. Impact on approach: If confirmed, I'd focus on the update's impact on user experience and system stability.

• Considering user segments, I'm wondering if this increase is uniform across all customer types. Are we seeing a disproportionate increase in tickets from any particular user segment (e.g., enterprise vs. small business)?

Why it matters: Helps identify if the issue is more prevalent in specific user groups. Expected answer: Enterprise customers are submitting 30% more tickets than usual. Impact on approach: I'd prioritize investigating enterprise-specific features or scaling issues.

• Regarding the nature of support tickets, I'm curious about the most common issues reported. What are the top three categories of problems users are reporting in these increased tickets?

Why it matters: Identifies patterns in user issues to guide our root cause analysis. Expected answer: Performance slowdowns, connection errors, and data inconsistency issues. Impact on approach: I'd focus on system performance, network infrastructure, and data integrity in my analysis.

• Considering external factors, I'm wondering about any changes in our monitoring or ticket categorization system. Have we made any recent modifications to how we track or categorize support tickets?

Why it matters: Ensures the increase isn't due to changes in our measurement system. Expected answer: No recent changes to our ticketing system. Impact on approach: If confirmed, I'd rule out measurement issues and focus on actual service problems.