What caused the sudden 30% increase in customer support tickets for Next Insurance's Professional Liability coverage this month?

Introduction

The sudden 30% increase in customer support tickets for Next Insurance's Professional Liability coverage this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and customers.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor. Has there been a similar increase in support tickets during this month in previous years?

Why it matters: Helps distinguish between cyclical patterns and unique issues. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on scaling support; if not, we'd investigate recent changes.

• Considering the specificity of the increase, I'm wondering about recent product changes. Have there been any updates to the Professional Liability coverage or related systems in the past 30-60 days?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: A minor update to the policy terms was implemented 45 days ago. Impact on approach: If changes occurred, we'd scrutinize those specific areas; if not, we'd look at external factors.

• Given the magnitude of the increase, I'm curious about user segments. Is this increase uniform across all customer types, or is it concentrated in specific segments?

Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The increase is more pronounced among small business owners in the tech sector. Impact on approach: If segmented, we'd focus on that specific user group; if uniform, we'd look at broader systemic issues.

• Considering potential data anomalies, I'm wondering about our ticket categorization. Has there been any recent change in how we categorize or tag support tickets?

Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: No recent changes to ticket categorization processes. Impact on approach: If changed, we'd need to normalize data; if not, we can trust the categorization.