Drilling down from whole organization metric trees2

Within each kind of product in MoonPay, you can actually have its own, metric tree within that. Right? So this is, like, kind of the company wide one, which is awesome and enables us as the company to see what's going on. Especially as MoonPay grows, right, we have different products and different things coming out that will maybe require their own metric tree. And in a way, it could fall into one of these, obviously. But, yeah, ultimately, you've gotta adapt it to what your business needs. Yeah. I like that. So you're saying that, actually, you can you can keep going down the tree. It may not be practical to have it at all every metric of the business in one view, but when you get to a certain level, like, new customers, you can then go to metric two, which is more about marketing and the the lead the the acquisition funnel and break those metrics down even further. Like so you you can keep going, and the further you go down, the the, you know, the more tactical more operational you're going. We actually created the upper level metrics tree by design, and we maximized it. The reason for this, and this is, again, you know, different depending on your organization, is that we know at MoonPay specifically, within our own organization, it can create too much noise. Right? So going back to what we were talking about at the very beginning of this session, the problem was that we had a lot of data. And so we really wanted to limit it to just those on the high level tree. If it comes to the place in which we think that there is, a need for a more specific tree. Again, I think marketing is a great candidate for that because there are a lot of, there are a lot of data points that are not present on the tree that are very important. Yeah. That is very much possible, but it does depend on your organization for sure. And for us, this is actually something I wrote in the chat. Again, going back to the piece of ownership, I wanna say ownership paired with controlling the narrative. I think it's very important for data the data team and for yourself even as much as we want everything to be as self-service as possible. There's a very fine line between self-service and chaos. Right? Because you can imagine that when everybody is is is, is querying the data, you know, they're making their own stories. And that can be extremely problematic, I think, as most people in this webinar probably experienced. And so that's also another reason why we kept it to just this tree because it enables us to say, hey, guys. Like, this is the main story. Maybe you have some side stories. Maybe you're going on a choose your own adventure. That's totally fine. But, officially, this is what this is, and that's, again, by design. I'm involved in, like, the payment side. So this transaction success rate, tile is is my baby pretty much. And I I have my own metric tree for this, specifically for the transaction success rate. I don't it's it's available for everyone to see, but it's not something I broadly push on everyone because it as Emily said, then you might be overloading overloading, you know, stakeholders or relevant parties of of what's happening. But it does make my life easier that when this metric is down, I can quickly then go and see what's wrong. And then for my stakeholders that are a bit more data savvy, they also know that it's there, and they can also, you know, look into things as needed. But as, like, on a on a wider business scope, we kinda stick to this because it's it's quite easy for someone to see. Obviously, these numbers are very extreme, but, normally, what we like to see, obviously, is some small changes here and there. And then you maybe have one that's a bit more extreme that then pushes you where to look. And then each data scientist within their domain often has their own metric tree or some sort of dashboard or account canvas in a way that that helps them quickly debug things and and, you know, get to the bottom of the wrong way. You're just driving focus. You're driving focus. You're trying to make sure people understand what's statistically relevant, what isn't, where to go if they wanna dig deep. And you're removing questions which are kind of guessing questions. Why has this changed? You're actually giving that answer without even being involved as well. That's really cool. Before we move on, I wanna make sure we have time for q and a. Is there any I'd love to just