Introduction
To enhance Lentra's loan origination system for small businesses, we need to streamline the application process, making it more efficient and user-friendly. This improvement will focus on reducing friction points, accelerating decision-making, and increasing the overall satisfaction of small business owners seeking loans. I'll approach this challenge by first clarifying our objectives, then analyzing user segments and pain points, before proposing and evaluating solutions.
Step 1
Clarifying Questions (5 mins)
Why it matters: Identifies the magnitude of the problem and potential for improvement. Expected answer: Conversion rate is 40%, below the industry average of 60%. Impact on approach: Would focus on reducing friction in the most problematic stages of the application.
Why it matters: Helps pinpoint specific areas of the application that need optimization. Expected answer: Average completion time is 45 minutes, with most drop-offs occurring during financial document uploads. Impact on approach: Would prioritize simplifying document submission and potentially introducing progressive data capture.
Why it matters: Determines whether to focus on streamlining onboarding or improving the quality of submitted applications. Expected answer: The focus is on increasing the approval rate for existing applicants to boost customer satisfaction and referrals. Impact on approach: Would emphasize features that help applicants submit more complete and accurate information.
Why it matters: Ensures our solution addresses current market dynamics and future trends. Expected answer: Increased competition from fintech startups offering faster approvals, and potential new regulations around AI in lending decisions. Impact on approach: Would consider incorporating AI responsibly for faster processing while maintaining compliance.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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