As underwriting tools and credit models evolve, what opportunities do you see to better serve qualified borrowers who may have been overlooked by more traditional or legacy approaches?

I think as a legacy issue, as an industry, we have over relied on credit scores historically.

I think when they were first introduced in the 90s, they added a lot of value in terms of consistency, quality of decision, removing human error, human bias.

But there's a lot of qualified people who don't cleanly fit into the traditional credit score box in terms of how many years of counts they've had.

So as we look at these new models, the idea to see trended data, to see additional data sources such as utility bills and rent helps give more insight to a person in their patterns of payment and also insights into their ability to repay a new debt.

And at the same time, folding in other electronic data such as income and expense data through their electronic bank data.

Looking at that data as well as expanded credit pattern data gives a more complete picture of a person and more complete picture of their ability to repay a loan.

Looking ahead, what do you see as the biggest opportunities for expanding sustainable home ownership, particularly to those first-time homebuyers who have historically been underserved? I think the single