What factors are contributing to the increased error rate in Origami Risk's policy administration system during peak usage hours?

Introduction

Addressing the increased error rate in Origami Risk's policy administration system during peak usage hours requires a systematic approach to identify, validate, and resolve the root cause. This analysis will focus on dissecting the problem, generating data-driven hypotheses, and developing a comprehensive solution strategy.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be a load-related issue. Can you provide more details on what constitutes "peak usage hours" for the system?

Why it matters: Understanding usage patterns helps identify potential capacity issues. Expected answer: Peak hours are typically 9 AM to 2 PM EST on weekdays. Impact on approach: This would focus our investigation on system performance during specific time windows.

• Considering the nature of the product, I'm curious about the current error rate compared to historical baselines. Has there been a gradual increase or a sudden spike in errors?

Why it matters: This helps determine if the issue is new or an escalation of an existing problem. Expected answer: A 20% increase in errors over the past month. Impact on approach: A gradual increase might suggest a cumulative effect of recent changes or growing system strain.

• Given the complexity of policy administration, I'm wondering about the specific types of errors being reported. Are they concentrated in particular modules or spread across the system?

Why it matters: This helps pinpoint whether the issue is systemic or localized to specific features. Expected answer: Errors are primarily occurring in the policy quoting and binding modules. Impact on approach: This would focus our investigation on those specific modules and their dependencies.

• Considering recent product developments, have there been any significant updates or changes to the system in the past few weeks?

Why it matters: Recent changes could be directly related to the increased error rate. Expected answer: A new feature for real-time risk assessment was deployed two weeks ago. Impact on approach: This would prompt a thorough review of the new feature and its impact on system performance.