Why has the average response time for Moveworks's natural language processing engine increased by 30% since the latest software update?

Introduction

The recent 30% increase in average response time for Moveworks's natural language processing (NLP) engine following a software update is a critical issue that demands immediate attention. This performance degradation directly impacts user experience and the core value proposition of our AI-powered IT support platform. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to the recent software update. Can you confirm when exactly the update was rolled out and if the performance degradation was immediate or gradual?

Why it matters: Pinpointing the exact timeline helps correlate the issue with specific changes. Expected answer: The update was rolled out last week, and the performance decline was noticed within 24 hours. Impact on approach: An immediate decline suggests a direct link to the update, while a gradual decline might indicate a scaling issue.

• I'm curious about the scope of this performance issue. Is the 30% increase in response time consistent across all types of queries or user segments?

Why it matters: Understanding the scope helps narrow down potential causes and affected components. Expected answer: The increase is more pronounced for complex queries but affects all user segments. Impact on approach: This would lead us to focus on the NLP engine's handling of complex language processing tasks.

• Considering potential changes in usage patterns, has there been any significant increase in query volume or complexity since the update?

Why it matters: Changes in user behavior or system load could explain performance issues. Expected answer: Query volume has remained stable, but there's been a slight increase in query complexity. Impact on approach: This might point towards optimizing the NLP engine for more complex language processing.

• I'm wondering about any changes to the underlying infrastructure. Have there been any modifications to the hardware, cloud resources, or database systems supporting the NLP engine?

Why it matters: Infrastructure changes could impact processing capacity and response times. Expected answer: No significant infrastructure changes were made alongside the software update. Impact on approach: This would shift our focus more towards the software changes rather than infrastructure issues.