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Company focus

Rocket Companies

What factors are causing the increased abandonment rate for Rocket Companies's online refinancing calculator in the last quarter?

Prepared by NextSprints

15 mins
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Data Analysis User Experience Design Problem-Solving Financial Services Mortgage Lending Online Banking Conversion Optimization Root Cause Analysis User Behavior FinTech Mortgage
Product Management RCA Question: Analyzing increased abandonment rate in Rocket Companies' online refinancing calculator

Introduction

The increased abandonment rate for Rocket Companies's online refinancing calculator in the last quarter 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 relevant metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive plan for validation and resolution.

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 be seasonal factors at play. Has this increase in abandonment rate been compared to the same quarter last year?

Why it matters: Seasonal trends could explain the shift and impact our solution approach. Expected answer: Yes, it's been compared and the increase is still significant. Impact on approach: If seasonal, we'd focus on optimizing for known patterns; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the distribution of the abandonment rate. Are we seeing this increase across all user segments or is it concentrated in specific groups?

Why it matters: Identifying affected segments helps narrow down potential causes and tailor solutions. Expected answer: The increase is more pronounced among first-time users. Impact on approach: If segment-specific, we'd focus on onboarding and user education; if universal, we'd look at core functionality issues.

  • Thinking about recent changes, have there been any updates to the calculator's UI, functionality, or the underlying interest rate data in the last quarter?

Why it matters: Recent changes often correlate with shifts in user behavior. Expected answer: A minor UI update was implemented two months ago. Impact on approach: If changes coincide with the increase, we'd scrutinize those specific updates; if not, we'd look at external factors or gradual trends.

  • Considering data integrity, has there been any change in how abandonment rate is measured or in the systems tracking this metric?

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in measurement or tracking systems. Impact on approach: If measurement has changed, we'd need to recalibrate our analysis; if not, we can proceed with confidence in the data.

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Updated Jan 22, 2025