The measurement of computer user satisfaction studies how interactions with technology can be improved by adapting it to psychological preferences and tendencies.
While UI and UX often rely on separate methodologies, they share the goal of making systems more intuitive, efficient, and appealing.
Ang and Koh (1997) describe user information satisfaction as "a perceptual or subjective measure of system success.
Yaverbaum's study found that people who use their computers irregularly tend to be more satisfied than regular users.
[8] Mullany, Tan, and Gallupe claim that CUS is chiefly influenced by prior experience with the system or an analogue.
[9] Using findings from CUS, product designers, business analysts, and software engineers anticipate change and prevent user loss by identifying missing features, shifts in requirements, general improvements, or corrections.
Satisfaction measurements are most often employed by companies or organizations to design their products to be more appealing to consumers, identify practices that could be streamlined,[10] harvest personal data to sell,[11] and determine the highest price they can set for the least quality.
The qualities of least importance were found to be "feelings of control, volume of output, vendor support, degree of training, and organizational position of EDP (the electronic data processing or computing department)."
However, in a recent article, Islam, Mervi, and Käköla argued that measuring CUS in industry settings is difficult as the response rate often remains low.
Others are replacing structured questionnaires with unstructured ones, where the respondent is asked simply to write down or dictate everything about a system that either satisfies or dissatisfies them.
One problem with this approach, however, is that it tends not to yield quantitative results, making comparisons and statistical analysis difficult.