Then how does it so how does this play back with OKRs? This obviously gives you operational clarity of your department, but, obviously, then this helps you understand what's going on enough to go back to the OKRs and say, here's what's we're not we you know, we'll work out how it relates to what needs to move for the business, I guess. Yeah. I think, I I suppose I'll take just one very quick step back on that. You mentioned not having too many dashboards. I think when it comes to count, I, I I probably have I I open a canvas to, like, dig into. If I have a problem that I'm trying to solve, I would dive head first into something like like, count is my go to. I probably got forty tabs open for count right now and probably yeah. It's like I if I have a problem that comes down to data, I can try and solve that problem or at least understand what that problem looks like using count and using our products metrics and using the the data that we have available to us. So if I I know, for example so I think if we zoom in to example, the Nuance metric that you have in the middle down the bottom, I believe it's the cloud integrations. Right? So And it's kind of like a little mini dashboard in itself. Right? It's just contextualizing the wider tree. Exactly. Yeah. Absolutely. And like, we've done some digging using count to understand, like, what is our what does our conversion rate look like if somebody adds a cloud integration during their trial window? And we know that they convert three times more frequently if they add a cloud integration during our trial window. And then the same for kind of, as as a retention, if they add a, if they add a cloud integration, they stay with us significantly longer because there's a whole bunch of value in having that cloud integration. Now what that means is when it comes to setting those key results, if we're trying to improve our conversion rate as, you know, as a KPI, we're trying to improve our retention metric, then we already know based on what we've seen in our product dashboard, which metrics that we're gonna want to have to have to shift. So, when it comes to building new projects, like planning new projects, prioritizing what we're looking for in within the product space, we start to understand, well, we're gonna focus on something that helps increase retention because we wanna improve our NRR. Cloud integrations are one of the best ways that we can do that at the moment. How do we present people, get people down that funnel? So it's really nice to be able to see actual live product metrics over time moving in one direction or the other and then be able to tie that. Literally, I could copy and paste this. Right? I can copy and paste this cell and put that under the the KPI section in the, in the business. Yeah. And so so I say you're actually literally like a lot this is the metric you care about. We're gonna align that to OKRs lift and shift. And it's all got this back to it's all governed by a single semantic layer, so, actually, metrics always define the same way. I think, at least, that's certainly the movement you're going in.