Introduction
Spruce's automated underwriting system has experienced a 15% decrease in approval rates over the past month, signaling a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often have unintended consequences on approval rates. Expected answer: Yes, there was a minor update to credit score weighting. Impact on approach: If confirmed, we'd focus on analyzing the impact of this specific change.
Why it matters: Inconsistent changes could point to specific user groups or loan products being affected. Expected answer: The decrease is more pronounced in certain segments. Impact on approach: We'd prioritize investigating those segments and their unique characteristics.
Why it matters: External market forces could be driving changes in our applicant pool. Expected answer: No significant changes noted in competitor behavior. Impact on approach: We'd focus more on internal factors if external influences seem stable.
Why it matters: Data integrity is crucial for accurate underwriting decisions. Expected answer: Some intermittent issues with a third-party data provider were reported. Impact on approach: We'd investigate the impact of these data feed issues on approval rates.
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