Knowing how your users behave and how they rate user experience is important, but it is very hard to learn that without various UX metrics and tools. The quality of user experience is a complex matter; you cannot use one tool to measure the whole experience, as it is built from several smaller components.

Understanding your users’ attitudes and behaviors on your site is key for providing a better user experience. There are many tools and metrics out there and most of them are data-driven. That means that collecting and analyzing data from your site has never been more important than it is today.

In this article, we will take a look at how you can measure user experience on your site, and why is it so important. Also, we will share some of the tools that you can use to measure it, and what you can measure.

First of all, any operating system or solution contains two types of requirements: functional and non-functional. The solution works as a clock, which requires each gear within the solution to be properly functioning. Based on the theory of constraints, any process throughput can only be improved when the constraint or bottleneck is resolved.

Therefore, no matter how fast the train can run and how many passengers it can carry in one trip (the functional requirements), as long as the NFRs are not met, the performance of the solution (subway system) can only be as good as the non-functional requirements.

Second, if NFRs are not considered during the business analysis process, it is very likely they were not part of the criteria for solution evaluation. Without consideration of NFRs, the proposed solution may not be evaluated accurately. What was thought to be the best solution may not be a suitable solution at all.

Has society become so unimaginative in the products, services, organisations and societies that we choose to create? Have we started giving up on ‘inspiration’ and ‘excitement’ as values with the way in which we create schools, workplaces and organizational cultures? My personal belief is that Business Analysts are ideally and uniquely positioned by make an incredible and positive difference in the world.

After some research, I was taken back with so many machine learning applications already in use: weather forecasting, medical diagnoses, law enforcement, and self-driving vehicles. Also, I did not realized that it was the advancements of big data and faster computing that allowed the break-thru of AI in our daily lives. Most of us, I believe, think that artificial intelligence is still science fiction. Not so! We as business analysts need to pursue AI education and recognize the many business opportunities opening up to all of us.

Perhaps you’ve seen a sign at an auto repair shop that asked, “What do you want: good, fast, or cheap? Pick two.” While humorous, the sign is also wise: it acknowledges the reality of trade-offs. You generally cannot optimize every desired outcome of a given situation.  The notion of such a “triple constraint” or “iron triangle” appears throughout project management. The problem is that I have seen numerous representations of the triangle with various parameters on the triangle’s vertices—size, cost, time, or scope—and various assumptions made about what is being held constant, such as quality or functionality. I’ve also seen diagrams that show four project dimensions. So, in my view, the traditional “triple constraint” is wrong, although the concept of constraints and trade-offs is certainly valid.