Qualitative research methods require transparency to ensure the "trustworthiness" of the data analysis. The intricate processes of organising, coding and analysing the data are often rendered invisible in the presentation of the research findings, which requires a "leap of faith" for the reader. Computer assisted data analysis software can be used to make the research process more transparent, without sacrificing rich, interpretive analysis by the researcher. This article describes in detail how one software package was used in a post-structural study to link and code multiple forms of data to four research questions for fine grained analysis. This description will be useful for researchers seeking to use qualitative data analysis software as an analytic tool. (Contains 7 figures.)