How can we explain the sudden increase in processing times for Capitolis's portfolio compression tool over the last two weeks?

Introduction

The sudden increase in processing times for Capitolis's portfolio compression tool over the last two weeks 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 implications for our product strategy.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the system. Has there been any significant update or deployment to the portfolio compression tool in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update two weeks ago. Impact on approach: If confirmed, we'd focus on the recent changes first.

• Considering user behavior, I'm curious about usage patterns. Have we seen any unusual spikes in user activity or data volume being processed recently?

Why it matters: Increased load could explain slower processing times. Expected answer: Usage has been relatively stable. Impact on approach: If stable, we'd shift focus to internal system issues.

• Thinking about system health, I'm wondering about our infrastructure. Have there been any reported issues with our servers or cloud services in the last two weeks?

Why it matters: Infrastructure problems can directly impact processing speed. Expected answer: No major outages, but some minor instabilities reported. Impact on approach: We'd investigate these instabilities as a potential contributor.

• Considering data complexity, has there been any change in the nature of portfolios being compressed? For example, are users submitting more complex or larger portfolios?

Why it matters: Changes in input complexity could affect processing times. Expected answer: No significant changes noted in portfolio complexity. Impact on approach: If confirmed, we'd focus more on internal system optimizations.