What factors are causing the increased abandonment rate for Ally's auto loan applications in the last quarter?

Introduction

The increased abandonment rate for Ally's auto loan applications 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 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 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 if this is affecting all applicants equally. Have we seen any differences in abandonment rates across various credit score ranges or loan amount tiers?

Why it matters: Identifying affected segments helps narrow down potential causes and tailor solutions. Expected answer: Higher abandonment rates in lower credit score ranges. Impact on approach: If segmented, we'd investigate specific user pain points; if uniform, we'd look at system-wide issues.

• Thinking about recent changes, have there been any updates to the application process, UI, or backend systems in the past quarter?

Why it matters: Recent changes often correlate with metric shifts and could be the root cause. Expected answer: A new credit check API was implemented. Impact on approach: If changes occurred, we'd focus on those areas; if not, we'd look at external factors or gradual trends.

• Considering data integrity, has there been any change in how we're measuring or defining abandonment rate?

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in measurement or definition. Impact on approach: If changed, we'd recalibrate our metrics; if not, we'd proceed with investigating the actual abandonment increase.