Although knowledge elicitation, the process of extracting knotvledgefrom human experts to be incorporated into a knowledge-basedsystem, has been the subject of some notable studies, less attention has been paid to the methods of analysing the raw data once it has been extractedfrom the expert. When knowledge elicitation sessions are interview-based, the resultant form of raw data is usually a transcript of the interviewee's utterances. This paper describes an investigation into the preliminary stage of analysing such transcripts. It outlines the development of an approach to eliminate unnecessary detailfrom interview transcripts, thus enabling attention to be focused upon the remaining, more relevant data via a simple technique based upon cheap and readily available technology. The paper then outlines a rapid-prototyping approach for evaluating this method, the results of which werefelt to be very encouraging.