How can Dave balance offering higher ExtraCash limits to users while managing default risk?

Introduction

Balancing higher ExtraCash limits with default risk management is a critical trade-off for Dave's product strategy. This scenario involves weighing the potential for increased user satisfaction and revenue against the risk of financial losses due to defaults. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a structured decision framework.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming ExtraCash is a short-term lending feature. Could you confirm if this is correct, and if there are any specific terms or conditions associated with it?

Why it matters: Understanding the product specifics helps in assessing risk factors. Expected answer: Yes, it's a short-term, interest-free cash advance. Impact on approach: Would influence risk assessment criteria and user segmentation.

• Business Context: Based on Dave's business model, I'm thinking ExtraCash might be a key revenue driver. How does it contribute to the company's overall financial performance?

Why it matters: Helps prioritize the trade-off against business objectives. Expected answer: Significant contribution through subscription fees and optional tips. Impact on approach: Would justify more aggressive growth strategies if it's a major revenue source.

• User Impact: I'm considering that different user segments might have varying default risks. Do we have data on how default rates correlate with user characteristics or ExtraCash limit amounts?

Why it matters: Informs targeted approaches to limit increases. Expected answer: Some correlation exists, particularly with income levels and past repayment behavior. Impact on approach: Would lead to a more nuanced, segmented strategy for limit increases.

• Technical: Considering the potential for increased transaction volume, are there any technical limitations or scalability concerns with processing higher ExtraCash limits?

Why it matters: Ensures the solution is technically feasible and scalable. Expected answer: Current system can handle increased volume, but may need optimization. Impact on approach: Might necessitate a phased rollout or technical upgrades alongside limit increases.

• Timeline: Given the potential impact on financials, I'm wondering about the urgency of this decision. Is there a specific timeline or business cycle we need to consider?

Why it matters: Influences the pace and scale of implementation. Expected answer: Aiming for implementation before the next quarterly financial report. Impact on approach: Would shape the experiment design and decision timeline.