How can we explain the 30% decrease in new small business insurance policy applications through Travelers's online portal since the latest website update?

Introduction

The 30% decrease in new small business insurance policy applications through Travelers's online portal since the latest website update is a critical issue that demands immediate attention. This significant drop in a key performance metric could have far-reaching implications for the company's revenue, market share, and customer satisfaction. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking the website update might be directly related. Can you confirm when exactly the update was rolled out and if it coincided with the drop in applications?

Why it matters: Establishes a clear timeline and potential correlation. Expected answer: The update was launched 2-3 weeks ago, aligning with the decrease. Impact on approach: If confirmed, we'll focus more on the update's specifics.

• Considering user segments, I'm curious if this decrease is uniform across all small business types. Have you noticed any patterns in the types of businesses that have reduced their application rate?

Why it matters: Helps identify if the issue is global or specific to certain segments. Expected answer: The decrease is more pronounced in certain industries or business sizes. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.

• Given the significance of the drop, I'm wondering about any changes in the competitive landscape. Has there been any notable shift in competitor offerings or marketing strategies recently?

Why it matters: Rules out external factors that could be drawing customers away. Expected answer: No significant changes in competitor activities. Impact on approach: If confirmed, we'll focus more on internal factors rather than market dynamics.

• Thinking about the user journey, I'm interested in where exactly in the application process we're seeing drop-offs. Do we have data on which step of the application process is seeing the highest abandonment rate?

Why it matters: Pinpoints specific problematic areas in the user experience. Expected answer: There's a significant increase in drop-offs at a particular step. Impact on approach: We'd prioritize investigating and optimizing that specific step in the process.