47. The method of claim 32 , wherein defining at least first data includes defining at least one list containing at least one instance of profane language.
32. A method of evaluating compliance of at least one agent with at least one script that governs, at least in part, at least one interaction processed by at least one agent, the method comprising at least the following: creating at least one voice record of at least one interaction processed by the at least one agent at an agent workstation; defining at least first data relating to evaluating compliance of the at least one agent with the at least one script; and processing the at least one voice record against the at least first data, wherein the voice record is divided into viewable panel-level segments, wherein a panel-level time displacement stamp is assigned to each panel of the panel-level segments, wherein each panel-level segment is compared with a corresponding portion of the first data, wherein a confidence level threshold of the automatic speech recognition component is used to evaluate the accuracy of each panel-level segment based on an output of a comparison between each panel-level segment and its corresponding portion of the first data, wherein a score is assigned to each panel-level segment, each score indicating a match accuracy between the panel-level segment to which it is assigned and its assigned panel-level segment's corresponding portion of the first data, wherein the scores are evaluated against a standard, the standard defining a required score for each of the panel-level segments to be declared as a match to their corresponding portions of the first data, a set of action rules being applied to the output of the processing to direct a quality assurance action to be taken.