Should Lendable (London) prioritize faster loan approval times for its personal loans at the expense of potentially higher default rates?

Introduction

The trade-off question at hand is whether Lendable (London) should prioritize faster loan approval times for its personal loans, potentially at the expense of higher default rates. This scenario involves balancing customer satisfaction and operational efficiency against risk management and financial stability.

To address this complex issue, I'll follow a structured approach:

1. Ask clarifying questions
2. Identify the trade-off type
3. Analyze product understanding
4. Evaluate the trade-off agreement and hypothesis
5. Identify key metrics
6. Design an experiment
7. Plan data analysis
8. Develop a decision framework
9. Provide recommendations and next steps

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about Lendable's current market position. Could you share some insights on our market share and competitive landscape in the personal loan sector?

Why it matters: Helps understand the urgency and potential impact of faster approvals Expected answer: Moderate market share with increasing competition Impact on approach: Would influence the aggressiveness of the strategy

• Business Context: Based on our revenue model, I assume faster approvals could increase loan volume. How critical is loan volume growth to our current business strategy?

Why it matters: Aligns the trade-off with overall business objectives Expected answer: Loan volume growth is a key priority Impact on approach: Would justify taking on more risk for faster approvals

• User Impact: I'm considering the user segments most affected by this change. Can you provide insights on which customer segments are most sensitive to approval times?

Why it matters: Helps target the strategy to high-impact segments Expected answer: Younger, tech-savvy borrowers value speed most Impact on approach: Would focus on optimizing for specific user segments

• Technical: Regarding our current approval process, what are the main bottlenecks in terms of technology or data processing?

Why it matters: Identifies areas for potential optimization Expected answer: Credit checks and income verification are time-consuming Impact on approach: Would guide where to focus speed improvements

• Resource: Considering the potential increase in default rates, do we have the capacity in our risk management team to handle a potential uptick in defaults?

Why it matters: Ensures we can manage potential negative outcomes Expected answer: Some capacity, but may need to scale Impact on approach: Would influence the pace of implementation and risk tolerance