Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Why has Haven Technologies's life insurance quote engine experienced a 30% drop in conversion rates over the past month?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Product Strategy InsurTech Financial Services Digital Insurance User Experience Conversion Optimization Data Analysis Root Cause Analysis InsurTech
Product Management Root Cause Analysis Question: Investigating Haven Technologies's life insurance quote engine conversion rate drop

Introduction

Haven Technologies's life insurance quote engine has experienced a significant 30% drop in conversion rates over the past month. This issue requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this problem systematically, analyzing both internal and external factors that could be contributing to the decline in conversions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

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

Why it matters: Recent changes could directly impact user experience and conversion rates. Expected answer: Yes, there was a UI refresh or new feature added. Impact on approach: If yes, we'd focus on the changes and their potential unintended consequences.

  • Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user segments, or are certain groups more affected?

Why it matters: Helps identify if the issue is global or specific to certain user types. Expected answer: The drop is more pronounced in certain segments. Impact on approach: We'd prioritize investigating the most affected segments first.

  • Given the magnitude of the drop, I'm wondering about any changes in the competitive landscape. Have any major competitors launched new products or pricing strategies recently?

Why it matters: External market factors could be drawing potential customers away. Expected answer: No significant changes in competitor offerings. Impact on approach: If no, we'd focus more on internal factors and user experience issues.

  • Considering potential technical issues, have there been any reported problems with the quote engine's performance or uptime in the past month?

Why it matters: Technical issues could directly impact user ability to complete quotes. Expected answer: No major reported technical issues. Impact on approach: If yes, we'd prioritize technical investigations and fixes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025