Using form fields as dimensions to define consumer segments for which form interactivity metrics can be analyzed

Abstract

Improved authoring techniques enable digital forms to be configured so as to facilitate subsequent analysis of how specific consumer segments interact with such forms. As a form author defines and manipulates the fields that comprise a form, selected fields can be designated as dimensions across which metrics can be analyzed. Depending on the particular type of data being collected, author-designated dimensions are optionally transformed into more meaningful categories. For instance, a 'household income' field can be transformed into lower- and higher-income segments. If the form author wishes to later analyze metrics such as interaction time and errors encountered, consumers can be segmented on the basis of such dimensions. For example, the form author may understand which income segment requires the most time to complete a form. In general, this provides information with respect to how certain segments interact with a digital form, thereby enabling form authors to improve consumer experience.