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Product Management Root Cause Analysis Question: Investigating sudden credit score increase in AI-powered lending
Image of author vinay

Vinay

Updated Dec 28, 2024

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Why has the average credit score of approved borrowers for Upstart's small business loans increased by 50 points since last quarter?

Data Analysis Hypothesis Testing Strategic Thinking Fintech AI/ML Small Business Lending
Fintech Root Cause Analysis Risk Management Credit Scoring AI Lending

Introduction

The sudden increase in the average credit score of approved borrowers for Upstart's small business loans by 50 points since last quarter is a significant shift that warrants careful analysis. This change could have far-reaching implications for Upstart's business model, risk profile, and market positioning. To address this issue, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and propose strategic 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 Upstart's underwriting criteria. Has there been any adjustment to the loan approval process or credit score requirements?

Why it matters: This could directly explain the shift in approved borrower credit scores. Expected answer: Yes, there was a recent tightening of credit requirements. Impact on approach: If confirmed, we'd focus on understanding the rationale and implications of this change.

  • Considering market conditions, I'm wondering if there's been a shift in the applicant pool. Have you noticed any changes in the demographics or characteristics of loan applicants recently?

Why it matters: External factors could be influencing who's applying for loans. Expected answer: There's been an increase in applications from more established businesses. Impact on approach: This would lead us to investigate broader economic factors and market trends.

  • Thinking about Upstart's AI model, I'm curious if there have been any recent updates or refinements to the algorithm. Has the AI model undergone any significant changes or retraining?

Why it matters: Changes in the AI model could significantly impact approval decisions. Expected answer: The model was recently updated with new data. Impact on approach: We'd need to dive deep into the model's performance and potential biases.

  • Considering potential data anomalies, I'm wondering about the reliability of our credit score data. Have there been any changes in how we source or process credit score information?

Why it matters: Data integrity issues could lead to misleading conclusions. Expected answer: No changes in data sources or processing. Impact on approach: If confirmed, we'd focus on other factors affecting the credit score increase.

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