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 Younited Financial's personal loan approval rate dropped by 15% in the last month?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem-Solving Risk Management Fintech Banking Personal Finance Data Analysis Fintech Root Cause Analysis Risk Assessment Loan Approval
Product Management Root Cause Analysis Question: Investigating sudden drop in loan approval rates

Introduction

The recent 15% drop in Younited Financial's personal loan approval rate is a critical issue that demands immediate attention. This significant decline could have far-reaching consequences for the company's revenue, customer satisfaction, and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 change in our credit scoring model. Has there been any update to our risk assessment algorithms in the past month?

Why it matters: Changes in credit scoring can directly impact approval rates. Expected answer: Yes, there was a minor update to the model. Impact on approach: If confirmed, we'd focus on validating the new model's performance.

  • Considering market conditions, I'm wondering if there's been a shift in the quality of loan applicants. Have we seen any changes in the average credit scores of applicants over the last month?

Why it matters: A decline in applicant quality could explain the lower approval rate. Expected answer: No significant change in average credit scores. Impact on approach: If true, we'd need to look at other factors affecting approvals.

  • Given the sudden drop, I'm curious about any changes in our data sources. Have we switched or lost any credit bureau data providers recently?

Why it matters: Data quality and completeness are crucial for accurate loan assessments. Expected answer: No changes in data providers. Impact on approach: If there were changes, we'd investigate data quality and integration issues.

  • Thinking about operational aspects, I'm wondering if there have been any changes in our loan processing team or procedures. Have we implemented any new approval workflows or training programs?

Why it matters: Operational changes can impact approval decisions and consistency. Expected answer: No significant operational changes. Impact on approach: If changes occurred, we'd examine their impact on approval processes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025