Most of the trending items that I have discussed in the last two weeks are things that can be done today, problems that we are aware of and know need to be resolved. One item on my trend list, the appearance of smarter performance measurement systems, is something the WPO industry may have to wait a few years to appear.
A smarter performance measurement system is one that can learn what, when, and from where items need to be monitored by analyzing the behavior of your customers/employees and your systems. A hypothetical scenario of a smarter performance measurement system at work would be in the connection between RUM and synthetic monitoring. All of the professionals in WPO claim that these must be used together, but the actual configuration relies on humans to deliver the advantages that come from these systems. If RUM/analytics know where your customers are, what they do, and when they do it, then why can't these same systems deploy (maybe even create and deploy!) synthetic tests to those regions automatically to capture detailed diagnostic data?
Why do measurement systems rely on us to manually configure the defaults for measurements? Why can't we take a survey when we start with a system (and then every month or so after that) that helps the system determine the what/when/where/why/how of data and information we are looking to collect and have the system create a set of test deployment defaults and information displays that match our requirements?
The list of questions goes on, but they don't have to. Measurement systems have, for too long, been built to rely on expert humans to configure and interpret results. Now we have a chance to step back and ask "If we built a performance measurement system for the a non-expert, what would it look like?"
More data isn't the goal of performance measurement systems - more information is what we want.