How can Doma balance the need for thorough property data verification with the desire for faster closing times in its title and escrow services?

Introduction

Balancing thorough property data verification with faster closing times in Doma's title and escrow services presents a critical trade-off. This scenario involves weighing the need for accuracy and risk mitigation against the desire for efficiency and improved customer experience. I'll analyze this trade-off by examining the product, stakeholders, metrics, and potential solutions.

Step 1

Clarifying Questions (3 minutes)

• Based on the industry trends, I'm thinking Doma might be facing increased competition from tech-enabled title companies. Could you share how Doma's market position has evolved in the past year?

Why it matters: Helps understand the urgency of improving closing times Expected answer: Increased competition, pressure to innovate Impact on approach: Would prioritize speed improvements if market share is threatened

• Considering the revenue model, I assume faster closings could lead to higher transaction volume. What's our current revenue split between residential and commercial properties?

Why it matters: Identifies which segment to focus on for maximum impact Expected answer: Majority residential, growing commercial segment Impact on approach: Would tailor solution to dominant revenue stream

• Looking at user behavior, I'm curious about the pain points in the current process. What are the top 3 complaints from customers about closing times?

Why it matters: Pinpoints specific areas for improvement Expected answer: Lengthy document review, multiple back-and-forths, unclear status updates Impact on approach: Would focus on streamlining these specific areas

• Regarding technical feasibility, I'm wondering about our current data verification systems. How much of our verification process is currently automated vs. manual?

Why it matters: Determines potential for tech-driven improvements Expected answer: Mix of automated and manual processes, room for improvement Impact on approach: Would explore AI/ML solutions for manual processes

• Considering resource allocation, how much budget and engineering capacity do we have for this initiative over the next quarter?

Why it matters: Sets realistic expectations for solution scope Expected answer: Moderate budget, limited engineering resources Impact on approach: Would prioritize high-impact, low-resource solutions initially