Why has Perfios Software Solutions Pvt's credit decisioning engine seen a 15% drop in accuracy rates over the past month?

Introduction

The recent 15% drop in accuracy rates for Perfios Software Solutions Pvt's credit decisioning engine is a critical issue that demands immediate attention. This decline not only impacts the company's core product offering but also has far-reaching implications for customer trust and financial outcomes. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategic solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update. Has there been any significant change to the credit decisioning algorithm or data sources in the past month?

Why it matters: Recent changes could directly impact accuracy rates. Expected answer: Yes, there was an algorithm update two weeks ago. Impact on approach: If confirmed, we'd focus on the update's specifics and rollback options.

• Considering potential data quality issues, have there been any changes in the data providers or data ingestion processes recently?

Why it matters: Data quality is crucial for credit decisioning accuracy. Expected answer: No changes in providers, but a new data preprocessing step was added. Impact on approach: We'd investigate the new preprocessing step for potential issues.

• Given the significance of the drop, I'm curious about user segments. Is this accuracy drop consistent across all user segments or more pronounced in specific groups?

Why it matters: Helps identify if the issue is systemic or segment-specific. Expected answer: The drop is more significant in small business loan applications. Impact on approach: We'd focus on small business loan decisioning factors and models.

• Thinking about external factors, have there been any major economic shifts or regulatory changes in the past month that could affect credit risk assessment?

Why it matters: External factors can significantly impact credit decisioning accuracy. Expected answer: No major changes, but there's been increased market volatility. Impact on approach: We'd consider incorporating market volatility indicators into the model.