Introduction
The decline in BlueVine's average term loan amount by 25% this quarter is a significant issue that requires thorough investigation. I'll approach this problem systematically, examining both internal and external factors to identify the root cause and develop actionable solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain cyclical changes in loan amounts. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on adjusting for cyclical demand.
Why it matters: Industry-wide trends might indicate external economic factors rather than internal issues. Expected answer: Mixed results across competitors. Impact on approach: If industry-wide, we'd need to reassess our competitive positioning.
Why it matters: Changes in applicant demographics could explain variations in loan amounts. Expected answer: Some shifts in applicant profiles observed. Impact on approach: If confirmed, we'd need to analyze these new segments and adjust our offerings accordingly.
Why it matters: Changes in underwriting could directly impact approved loan amounts. Expected answer: Minor tweaks to the risk model implemented last month. Impact on approach: If confirmed, we'd need to review the impact of these changes on loan approvals.
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