How to Think About Adding Dimensions to Your Metric Tree

The first thing I do is add some more depth to our plan. Right? So we've defined our metrics, but we also need to think about the additional dimensions, that people will want or need to use. So I split this up. I usually split this up into two. So there's time frames. I think most metrics will relate to some form of time frame. And how will you want to segment the, the information? Like, are there other dimensions we need to build in? We need to make sure that's all in the data before we build. For this example, I I have some post it notes here. So for time frames, I actually found there was there was a bit of a complexity here. So ARR with a snapshot, it was like a a point in time. Like, what's our ARR yesterday? What's our ARR last month? Whereas everything down here were events that happened at single point. So we need we need to define, like, a time frame of these events that we want to look at and aggregate, and we also want to see snapshots in time of our ARR. And segments, I've just pulled out geography, industry. And, again, it's a really good one to collaborate early. You know, we've all shared data outputs, and then someone's asked if we can split this by x, and we haven't thought of it. So, again, trying to get by and and and sign off on these. And then have a think about, like, do we want to display these upfront, or do we just want to allow people to explore them? So, like, my time scales, I guess, we're we're displaying them. We probably will let them explore. But my segments, I don't want to lead with those, but I want to build in functionality that will let people explore.