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Company focus

Sunbit

What factors are contributing to the sudden 30% increase in declined applications for Sunbit's no-credit-check financing option this month?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Strategic Thinking Fintech Retail Consumer Finance Data Analysis Fintech Root Cause Analysis User Behavior Risk Assessment
Product Management Root Cause Analysis Question: Investigating sudden increase in declined financing applications

Introduction

The sudden 30% increase in declined applications for Sunbit's no-credit-check financing option this month is a critical issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.

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 a recent change in the application process. Has there been any update to the application flow or criteria in the past month?

Why it matters: Recent changes could directly impact approval rates. Expected answer: Yes, there was a minor update to the application form. Impact on approach: If yes, we'd focus on the specific changes and their potential effects.

  • Considering user segments, I'm wondering if this decline is uniform across all applicant types. Are we seeing this 30% decline consistently across different user demographics or credit profiles?

Why it matters: Helps identify if the issue is systemic or specific to certain user groups. Expected answer: The decline is more pronounced in certain age groups or income levels. Impact on approach: If segmented, we'd analyze the most affected groups more closely.

  • Given the significance of the increase, I'm curious about the historical context. How does this 30% decline compare to normal monthly fluctuations in declined applications?

Why it matters: Helps determine if this is an anomaly or part of a larger trend. Expected answer: This is significantly higher than usual monthly variations of 5-10%. Impact on approach: If anomalous, we'd focus on recent changes or external factors.

  • Thinking about potential system issues, I'm concerned about data accuracy. Have there been any changes to how declined applications are tracked or reported in our systems?

Why it matters: Ensures we're dealing with accurate data before diving deeper. Expected answer: No changes to tracking or reporting systems. Impact on approach: If yes, we'd need to validate the data before proceeding with other analyses.

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Updated Mar 29, 2025