Introduction
Octane's instant credit decisioning feature has experienced a 15% drop in approval rates over the last month, signaling a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Algorithm changes could directly impact approval rates. Expected answer: Yes, there was a minor update. Impact on approach: If yes, we'd focus on validating the algorithm's performance.
Why it matters: Helps identify if the issue is systemic or specific to certain user segments. Expected answer: The drop is more pronounced in the 600-650 credit score range. Impact on approach: If segmented, we'd investigate factors specific to the affected group.
Why it matters: Data quality and completeness are crucial for accurate credit decisioning. Expected answer: No changes in data providers, but there was a brief outage with one provider. Impact on approach: If there were changes or issues, we'd focus on data integrity and completeness.
Why it matters: External factors could influence credit-worthiness or risk appetite. Expected answer: No major market shifts, but a competitor launched a more aggressive offer. Impact on approach: If external factors are at play, we'd need to reassess our competitive positioning.
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