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

Happy Money

Why has Happy Money's Joy loan 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 Personal Finance Consumer Lending User Experience Conversion Optimization Data Analysis Fintech Root Cause Analysis
Product Management Root Cause Analysis Question: Investigating sudden drop in loan application completion rate

Introduction

The recent 15% drop in Happy Money's Joy loan 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 the decline and prevent similar issues in the future.

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 Joy loan application process in the last 1-2 months?

Why it matters: Recent changes could directly impact user experience and completion rates. Expected answer: Yes, there was a UI redesign or No, no major changes. Impact on approach: If yes, we'd focus on the specific changes and their effects. If no, we'd look more broadly at other factors.

  • Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all user segments, or are certain groups more affected?

Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: It's uniform or It's concentrated in specific segments. Impact on approach: Uniform decline suggests a broader issue, while segment-specific problems would narrow our focus.

  • Thinking about external factors, have there been any notable changes in the competitive landscape or marketing strategies recently?

Why it matters: External pressures could be driving users away or affecting their decision-making process. Expected answer: Yes, new competitor entered the market or No, landscape remains stable. Impact on approach: If yes, we'd consider competitive analysis. If no, we'd focus more on internal factors.

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

Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No change in measurement or Yes, we adjusted our metrics. Impact on approach: A change in measurement would require us to recalibrate our analysis based on the new definition.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025