Why is Quantexa's Customer Intelligence platform seeing a 20% increase in processing time for large datasets compared to last year?

Introduction

Quantexa's Customer Intelligence platform is experiencing a 20% increase in processing time for large datasets compared to last year, indicating a significant performance degradation. This issue could impact customer satisfaction, operational efficiency, and potentially the company's competitive edge. 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 there might have been recent changes to the platform. Have there been any significant updates or new features added to the Customer Intelligence platform in the past year?

Why it matters: Recent changes could directly impact processing times. Expected answer: Yes, there have been updates. Impact on approach: If yes, we'll focus on recent changes; if no, we'll look at gradual degradation factors.

• Considering the specificity of the issue, I'm wondering about the dataset characteristics. Has there been any change in the nature or complexity of the datasets being processed?

Why it matters: Changes in data complexity could explain increased processing times. Expected answer: Data complexity has increased. Impact on approach: If confirmed, we'll investigate data preprocessing and optimization techniques.

• Given the performance metric, I'm curious about the infrastructure. Has there been any change in the underlying hardware or cloud resources allocated to the platform?

Why it matters: Infrastructure changes could significantly impact processing times. Expected answer: No major infrastructure changes. Impact on approach: If unchanged, we'll focus more on software and algorithmic issues.

• Thinking about user behavior, have there been any changes in how customers are using the platform, such as increased concurrent users or more complex queries?

Why it matters: Changes in usage patterns could strain the system. Expected answer: Usage patterns have evolved. Impact on approach: If confirmed, we'll investigate scalability and query optimization.