UI complexity management aims to reduce factorial complexity in user interfaces, where more input orderings and dependencies lead to increased system complexity.
A theoretical model is introduced in this article, framing UI design as a complexity problem grounded in set theory, combinatorics, and ordering logic.
Factorial complexity in UI systems is often inevitable due to discrete interaction paths and user input freedom, highlighting the importance of understanding growth patterns for scalability.
Different UI structures exhibit varying levels of complexity, ranging from linear wizards with O(1!) complexity to fully connected free navigation with O(n!) complexity.