Why has CHEQ's Bot Mitigation solution seen a 15% drop in blocked bot traffic over the past month?

Introduction

CHEQ's Bot Mitigation solution has experienced a 15% drop in blocked bot traffic over the past month, raising concerns about the product's effectiveness and potential impact on client security. This analysis will systematically investigate the root cause of this decline, considering both internal and external factors that could be influencing the product's performance.

Step 1

Clarifying Questions (3 minutes)

• Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to CHEQ's Bot Mitigation solution in the past 1-2 months?

Why it matters: Recent changes could directly impact performance. Expected answer: Yes, a major update was released. Impact on approach: Focus on analyzing the update's effects.

• Considering potential shifts in bot behavior, has there been any notable change in the types or sophistication of bot attacks detected recently?

Why it matters: Evolving bot tactics could explain the decrease in blocked traffic. Expected answer: Some increase in sophisticated bots observed. Impact on approach: Investigate if current detection methods are still effective.

• Looking at client demographics, has there been any significant change in the composition of CHEQ's client base over the past month?

Why it matters: New clients or industries might have different bot traffic patterns. Expected answer: No major changes in client composition. Impact on approach: Rule out client base changes as a primary factor.

• Thinking about measurement accuracy, has there been any modification to how blocked bot traffic is measured or reported in the last month?

Why it matters: Changes in measurement could explain the apparent drop. Expected answer: No changes to measurement methods. Impact on approach: Focus on actual performance issues rather than reporting anomalies.