This article, authored by Christen Erlingson and Petra Brysiewicz, provides a practical guide to conducting qualitative content analysis, aimed at novice researchers. The authors emphasize the importance of qualitative research in various fields, particularly in emergency care, and address the common challenges faced by researchers in understanding and implementing content analysis methods. They offer a step-by-step approach to content analysis, including familiarizing oneself with the data, dividing text into meaning units, condensing these units, formulating codes, and developing categories and themes. The article also highlights the importance of maintaining reflexivity, using intuition, and collaborating with peers to ensure the quality and reliability of the analysis. Practical tips and templates are provided to assist researchers in the analysis process, making it more accessible and manageable. The authors stress the need for flexibility and adaptability in the analysis, as well as the importance of reflecting on one's pre-understandings and biases to avoid influencing the results.This article, authored by Christen Erlingson and Petra Brysiewicz, provides a practical guide to conducting qualitative content analysis, aimed at novice researchers. The authors emphasize the importance of qualitative research in various fields, particularly in emergency care, and address the common challenges faced by researchers in understanding and implementing content analysis methods. They offer a step-by-step approach to content analysis, including familiarizing oneself with the data, dividing text into meaning units, condensing these units, formulating codes, and developing categories and themes. The article also highlights the importance of maintaining reflexivity, using intuition, and collaborating with peers to ensure the quality and reliability of the analysis. Practical tips and templates are provided to assist researchers in the analysis process, making it more accessible and manageable. The authors stress the need for flexibility and adaptability in the analysis, as well as the importance of reflecting on one's pre-understandings and biases to avoid influencing the results.