Well, I think the efficiency automatically go to claims, which is the big organization, that's really our product once it happens. And it can be -- you got to balance it with accuracy. So we've been testing photo estimates and video estimates from our customers for quite a long time. And this really -- this fast forwarded it because we weren't going to body shops. And so we have a much larger amount, much larger percentage of our auto claims going through, what I would call photo method of inspection. Some of it is from our customers, giving it themselves and they may or may not get it repaired. I would say, that's about 25%. And after COVID, post COVID, it's been about 55% coming from our network body shops. And so of course, you want to balance that efficiency of reps not having the windshield timer going out with accuracy. And so as we're starting to kind of come through the first wave of this, we are seeing some accuracy trends that we want to be able to have our people eventually site of car. So although it's not as efficient because they're going out, we think it's more accurate. So as an example, recently, we -- a lot of our managed repair reps that got into nonnetwork body shops to do the estimates, really want to be able to get out there. When you have a really hard hit incoming -- I was a claims adjuster, so you have a really hard hit, doing it from a photo or video are really tough because underneath that sheet metal, there could be a lot of damage. And you can see a little bit, but you can't really get there. So that causes more supplements, which, of course, is inefficient. So we've just recently talked to our managed repair reps because they've been asking, can we go back out? We have given them all the materials they need to be safe, whether it's mask or gloves and both. And it's completely voluntary. So if you do not feel like you want to go out, that is no problem. We -- our first protection is our employees, but they're going out to some of the nonnetwork shops to do the estimate by the car, and we think that will be a good balance of the efficiency with the accuracy. And of course, we have it set up where the car is outside, no one's with them, etc. So we're really protected. And if they go to a body shop and they see the people aren't wearing mask. We ask them to turn around. So I think we'll learn more about the efficiency of how many estimates post COVID can we do with technology? And we're always testing technology and artificial intelligence to understand that we have so many years of millions and millions of photos. Could we ultimately have very simple estimates actually almost ride themselves and so we've been testing that for a while. Again, I hope I'm answering the question, but it really is a balance of accuracy and efficiency. We're having a lot of learnings from COVID, which is you always want to take advantage of something that's not good to say, what did we learn from that? And how will we come out better and more efficient? And overall, we have goals for LAE and NAER. During this time, there's so much noise in the data because of excess capacity at this juncture and etc. But we care deeply about efficiency and care deeply about our cost structure because we know that in order to have competitive costs, we have to be very competitive on the expense side.