Should Kiavi prioritize faster loan approval times for its bridge loans at the expense of potentially higher risk assessments?

Introduction

The trade-off question at hand is whether Kiavi should prioritize faster loan approval times for its bridge loans at the expense of potentially higher risk assessments. This scenario involves balancing speed and efficiency against risk management in the context of real estate lending. I'll analyze this trade-off by examining the product, stakeholders, metrics, and potential outcomes to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Kiavi is facing competitive pressure in the bridge loan market. Could you provide more context on the current market dynamics and Kiavi's position?

Why it matters: Helps understand the urgency and potential impact of faster approvals Expected answer: Kiavi is losing market share to faster competitors Impact on approach: Would emphasize the need for speed while maintaining risk standards

• Business Context: Based on the focus on bridge loans, I'm thinking this product is a significant revenue driver. What percentage of Kiavi's revenue comes from bridge loans, and how does this align with our growth strategy?

Why it matters: Determines the priority and resources we should allocate to this decision Expected answer: Bridge loans account for 60-70% of revenue and are key to growth plans Impact on approach: Would justify more aggressive changes to the approval process

• User Impact: I'm assuming our primary users are real estate investors. How would faster approvals affect their behavior and satisfaction? Are there specific segments more sensitive to approval speed?

Why it matters: Helps predict the potential upside of faster approvals Expected answer: Faster approvals could significantly increase repeat business and referrals Impact on approach: Would focus on balancing speed improvements with maintaining trust

• Technical Feasibility: Considering the potential for increased risk, I'm curious about our current risk assessment technology. What AI or machine learning capabilities do we have that could maintain risk standards while increasing speed?

Why it matters: Determines the feasibility of improving speed without sacrificing accuracy Expected answer: We have some ML models in place, but they're not fully optimized Impact on approach: Would suggest a phased approach, improving technology alongside process changes

• Resource Allocation: Given the potential impact on risk assessment, I'm wondering about our underwriting team's capacity. How would faster approvals affect their workload and accuracy?

Why it matters: Ensures we consider operational constraints and quality control Expected answer: The team is at capacity, and faster approvals could strain resources Impact on approach: Would include recommendations for team expansion or process automation