This article highlights the distinctive outcomes generated by different approaches to computer-aided content analysis, and discusses how partition decisions reveal or conceal possible data interpretations. Drawing on data collected from focus groups set up during a European research study, we demonstrate how the chosen encoding technique leads to different views of the same texts, regardless of the software chosen. This analysis produces a user’s guide for researchers who need to analyze conversations and concludes with a discussion of the implications for management and organization research
