Why has Plymouth Rock Assurance's auto insurance quote completion rate dropped by 15% over the past month?

Introduction

Plymouth Rock Assurance's 15% drop in auto insurance quote completion rate over the past 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 fixes and long-term strategic implications.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the quote process. Has there been any update to the quote flow in the last 1-2 months?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was a minor UI update. Impact on approach: If yes, I'd focus on the specific changes and their potential impact.

• Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all user segments, or are certain groups more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more pronounced in younger demographics. Impact on approach: If segmented, I'd tailor solutions to the most affected groups.

• Thinking about the competitive landscape, have there been any significant moves by competitors recently, like new products or aggressive marketing campaigns?

Why it matters: External factors can influence user behavior and expectations. Expected answer: No major competitor actions noted. Impact on approach: If yes, I'd consider how to differentiate our offering or improve competitiveness.

• Regarding data integrity, I'm wondering if there have been any changes to how we track or define quote completion. Has the definition or measurement of this metric remained consistent?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to metric definition or tracking. Impact on approach: If changed, I'd need to recalibrate our baseline and analysis approach.