We describe the utility of process models for summarizing the sequenti
al actions of individuals. Such models describe why users did what the
y did, what information they used from the outside environment, and wh
at knowledge they used to perform the task. These detailed explanation
s of users' thoughts and actions can enhance interface design by offer
ing behavior summaries that are inspectable and transferable to new in
terfaces. Sequential data sets and models for human-computer interacti
on are often large and complex. We present a computer-supported method
ology for developing these models as summaries of sequential data. We
illustrate that this methodology can make building and using such mode
ls tractable by applying it to an existing model for using an on-line
database.