Why has Flare's DDoS mitigation service seen a 15% drop in customer retention over the past quarter?

Introduction

Flare's DDoS mitigation service has experienced a concerning 15% drop in customer retention over the past quarter. This issue requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could be contributing to the retention decline.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 15% drop been compared to the same quarter last year?

Why it matters: Seasonal patterns could explain fluctuations in retention rates. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than quarter-over-quarter.

• Considering the metric specificity, I'm curious about the definition of "customer retention." Are we measuring by number of customers, contract value, or another metric?

Why it matters: Different retention metrics could point to different underlying issues. Expected answer: It's measured by the number of customers who renew their contracts. Impact on approach: If it's contract value, we'd focus more on high-value customers and pricing strategies.

• Given the nature of DDoS attacks, I'm wondering if there have been any significant changes in the threat landscape. Have we seen an increase in attack sophistication or frequency?

Why it matters: Changes in attack patterns could affect the perceived value of our service. Expected answer: There has been a slight increase in attack sophistication. Impact on approach: If yes, we'd need to assess our technology's ability to handle new types of attacks.

• Thinking about recent product changes, have there been any major updates or feature releases in the past quarter that might have impacted user experience?

Why it matters: New features or changes could potentially disrupt user workflows or expectations. Expected answer: A new dashboard was released two months ago. Impact on approach: If yes, we'd need to closely examine user feedback and usage data related to the new features.