A user friendly application can be used in a pleasant and efficient manner. Through a continuous process of testing, evaluating and adapting, the application can be optimized according to the expectations of the various stakeholders. By collecting feedback from real end users as early as possible in the development process, large and expensive modifications can be avoided later.
Various methods and techniques allow us to identify the cause of user problems, to test the prototype and to improve the application.
During user testing, the application is tested with real end users. They’re asked to perform a number of typical tasks. In this way, valuable insights are gathered about how people use the application and where they encounter problems. User tests give us insight into the “why” behind potential problems to work out a good solution.
User testing can be applied at different stages of the development process by using:
- Paper prototypes
- Clickable wireframes
- Live application
During a structure test end users are asked to perform different (core) tasks within the website structure (in Excel). This test provides early insights into the way people navigate through the structure and whether the used labels are understood. This type of testing also allows us to compare different versions in a simple way.
By using specific tools we can track where visitors click and how they navigate through the application or website. This information helps us to optimize the navigation flow according to the actual use of the target group. These tests provide insight into the user behavior in their familiar environment. These tests show us where potential problems are situated. They offer no insight into the motivations of visitors and the ‘why’ of their behavior, therefore we use other methods.
In an A/B test two (or more) versions of a page are created. The site visitors are divided between the variants. When sufficient results are collected, the different variants are compared and conclusions are drawn. These tests show which variant or combination of variants produces the most conversions. An A/B test provides no insights into the reasons for the results and choices of visitors.
There are various forms of A/B testing, depending on the type of variations to be tested and the amount of traffic that generates a website.
More info about A/B testen