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 .

Company focus

Credible

Why has Credible's student loan refinancing application completion rate dropped by 15% over the past month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving User Experience Design Fintech Student Loans Personal Finance User Experience Conversion Optimization Data Analysis Fintech Root Cause Analysis
Product Management Root Cause Analysis Question: Investigating student loan refinancing application completion rate drop

Introduction

The recent 15% drop in Credible's student loan refinancing application completion rate is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of the application process, user behavior, technical factors, and external influences. We'll generate data-driven hypotheses, validate them rigorously, and develop a comprehensive plan to reverse this concerning trend.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development, ensuring we leave no stone unturned in our quest to improve Credible's application completion rate.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has this drop coincided with any particular time of year, such as the start of a new academic semester?

Why it matters: Seasonal trends could explain the fluctuation and inform our solution approach. Expected answer: The drop occurred during a typically stable period. Impact on approach: If seasonal, we'd focus on adapting to cyclical patterns; if not, we'd investigate other factors more deeply.

  • Considering user segments, I'm curious about the distribution of this drop. Are we seeing a uniform 15% decrease across all user groups, or is it more pronounced in specific segments?

Why it matters: This helps us identify if the issue is universal or targeted to specific user types. Expected answer: The drop is more significant among first-time applicants. Impact on approach: A segmented issue would lead us to focus on specific user journeys or demographics.

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

Why it matters: Recent changes could directly correlate with the drop in completion rates. Expected answer: A minor UI update was implemented three weeks ago. Impact on approach: If changes coincide with the drop, we'd prioritize investigating those specific alterations.

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

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If measurement has changed, we'd need to reassess the validity of the 15% drop before proceeding.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025