At LogNormal, we’re all about collecting and making sense of real user performance data. We collect over a billion data points a month, and there’s a lot you can tell about the web and your users if you know what to look at in your data. In this post, I’d like to go over some of the statistical methods we use to make sense of this data.
You’d use these methods if you wanted to build your own Real User Measurement (RUM) tool.
The entire topic is much larger than I can cover in a single post, so go through the references if you’re interested in more information.