Good morning, Mayor, Commissioners.

I am very excited to bring this work session to you.

This is another great example of the data and innovation team working to be able to use data to thrive strategy, and in a way that will be transparent and a way for neighborhood leaders and groups to also access and utilize as they are doing their work in partnership with us.

So I'm very uh this is this is the result of James and the housing inspectors uh going out and doing their survey work.

As you know, we do this every two years.

Um this tool has been previewed with the neighborhood association presidents at the recent neighborhood for uh president forum uh and received a lot of positive accolades as well.

So uh and there's James McDaniel.

So kudos to him and his team uh for the actual survey work.

Um, but I won't steal any more of the Thunder uh PD, and I'll turn it over to Steve and Emily and James for the presentation.

Thank you.

Um Steve Donald, director for the Department of Planning, Ambrance and Development.

Today I'm with my uh team here, James McDaniel, our division manager for housing inspections.

And Emily Crow, our deputy director uh behind us, though, is a robust team of city staff that helped us get to this point.

Um I want to first acknowledge uh like the city manager did um all of our inspectors and supervisors in the division who um worked uh through the fall, late fall, early winter through numerous snowstorms to get this data collected.

Um we very much appreciate their hard work of getting out there uh through a number of weather situations.

I also want to thank Richard Bailey and uh the public work CIS team for helping us uh as we will share a little bit later, advance this work into a uh mobile uh modern kind of format for data collection.

Uh Nicole Steele was citywide, who assisted the team with uh data analysis.

Um, Abby Vatel Jones and her team and MMB, also part of the uh analysis team, and Jennifer Hannah, who is uh a planner in our division of planning, who has been a part of this and will be taking the lead as we go forward.

So this property condition and the and the housing survey really is uh here to um kind of shape our work plan to inform you all into where we are, where we need to go, how to make critical decisions.

Uh this data, as it had done in 2023, as it will do in the future, is it will help us to respond to grant and funding opportunities that arise that uh we now have the ability to quickly hone in on eligible areas if there is a funding opportunity.

Also, uh this work was actually featured as part of the Bloomberg Bugworks program.

So this was one of the facets of that certification was how we were moving our data collection, our inspection, our uh code enforcement work into a more nimble um uh process that we uh none of us have access to at any given point.

And so um, you know, we look at again this is uh both for our Intel, but you know, as it helps us shape strategies moving forward and the city interested to help neighborhoods understand kind of what's going on and where they want to focus uh the work that we uh assist them with uh in their neighborhoods.

So our methodology, uh one of the biggest changes was that in 2023 we had inspectors going out with clipboards and a paper, and they were handwriting the information on there, which then required uh a multiple-step manual process for putting that into numerous platforms to eventually get to the portal that we have now.

Uh we skipped all of that, and with the help of uh our GIS team, we went immediately digital.

And so we were using uh a mobile app on the city issued phones that the inspectors have to uh record the information real time.

We uh evolved it and then we call this 360 approach where it allowed us to, in addition to recording the conditions to document the fiscal through photo capturing um of the properties uh real time.

Uh every building, a lot was captured, uh, a little bit of a uh expansion upon what we did in 23.

And so we'll talk a little bit about that on how that looks at the overall numbers of uh properties surveyed.

Um, and I mentioned the photos of each property, and then uh what really is uh you'll see later as well is uh a detailing as why the score was given.

So if uh you're a homeowner, you're wondering why you're a two or a four or three, uh, we now have the factors that that contributed to that score.

And again, we'll show you how we can pull out those factors uh to really hone in on certain things.

So that also was a uh evolution of this work that uh gives us more nimble uh research into specific property condition statuses.

Our scoring derivative, so this has not changed uh as we did in 23.

Uh one uh is our preferred score, five is our our least desired score.

Um and so uh the big thing is uh the zeros on the vacant lots.

Again, as I mentioned, we did a much more robust job of capturing um all of those vacant lots, whether it's a grass field or grass lot, whether it's a paved lot or anything in between there.

And so we have a much more significant uh inventory of that vacant lot status.

I know that we're here on housing conditions, but it does matter because what we're doing is we're layering it in with the vacant land management uh GIS layer.

So um they've done an incredible job.

We have a much clearer uh understanding uh what is our um opportunities or challenges of all kind of vacant uh services in the city and to to what to whether again they're just grasp or if they are a gravel or page service.

Um you'll see here again, like that we we did not change the scoring.

Again, trying to be consistent.

So we have survey over survey uh information.

We didn't want to just change up to be all right, now we're gonna do A to D, you know, so we kept with the one to five.

Um this is really cool.

So this is what the inspectors were doing.

This is the digital documentation.

So um kind of zoomed in here on how they were out in the field, um, selecting the parcel, um, adding in, you know, you'll see the uh the second screen there in terms of adding the photos in, um, and then proceeding with the address.

Um, you know, this helped them understand what are they looking for.

So as they selected that, they are known that they should be at uh address 729.

Uh, there should be one structure there, um, and then scoring the the property.

So this one that was a three, a major repair, uh, the status they noted uh from all visible signs that it was occupied.

Um, and then uh you'll see on the fourth one is okay.

So it was a three, what happened with that?

And you'll see that it was a foundation issue.

And so again, everything on the right.

So if you all were to ask uh, like, you know, how many, you know, what is the status of our chiny problems indeed, we'll be able to kind of hone in on that.

Now, I think we tend to look more at like roofs, walls, when you know, uh foundations, but these are the uh the key areas of structural issues, roof, porch, paint, gutter, so forth.

So here's an example of how we documented a property.