How to Double Check Your Metric Tree Data For Accuracy

This is where you can test it. Like, here, for example, I've just created a big number, and I've put some logic in here, and I've connected my controls that I want to be able to split on. And this is this is what I believe is my current ARR. Right? So I could I'll just bring this down here for ease. So that's great. But, like, is that right? So I've just gone and, like, gone into an another system where I know that we have our kind of single source of truth for ARR, and I've just screenshotted it and thrown it in. And I'm like, does this match up? This is pretty important. Like, there's no point in me making a metric tree with a different number on it. And we can see that it does. We can also look through rule level detail. You know, we can see there's duplicate companies in here. Like, is that okay? Like, we could go and check. We think, yes. Actually, it is okay. These are just different types of deals. But, we can do the checks that we need. We can also check, for example, my snapshots. Maybe I just want to do a quick visual. And here, I would want to check that my monthly snapshot from June, oh, it's one point four million that doesn't match the one point two million. Actually, when I look into it, that's fine. It's just because I'm defining what the ARR is on the first of the month. I'm not defining it on yesterday. So maybe there, I put, like, a red Post it note to be like, you know, caveat this. This is important to know that there's a discrepancy. I'm okay with it, but I wanna keep that decision somewhere. So maybe I maybe I put that in a frame, and I and I document it well. And I think sorry. If I can just add one thing, Richard. I think it's helpful to recognize that during this whole process, as you show the screenshot, actually bringing in the wider company into the building of this process as early as this, not only with post it notes, but also to help them understand and look through the row level detail, understand the metrics are different. It's all buying to the trust, all the buy in, helping people feel part of the process is one of the best ways you can get a better answer, but also get buy in and understanding about what we're doing here. It's an amazing cleansing experience, if that makes sense, as you're kind of remodeling and rethinking through the business and checking it as you're building. And that's that's true of any asset, but particularly in case you're trying to define, in this case, an ARR metric tree, that's gonna get a lot of people interested. So, getting them into this and checking with you, getting the logic right, showing logic before it gets locked down into into a data model is a really, really powerful thing regardless if it's a mystery or not, basically. Absolutely. And from a selfish point of view, it gives you so much more confidence when you do push that out there that this isn't just you. It's not your decisions, and and everything is gonna rest on your shoulders when it goes wrong. Like, this is a this is a collective decision, and you can logically show why you've come to this point, and you can retrace your steps as well.