A proper analysis will ensure that you go through your data in a systematic and thorough manner.

There is a lot going on in an interview situation, and it’s easy to overlook information that doesn’t fit with your preconceived assumptions of what people were going to say and do during your interviews. Although you might feel like you have a pretty good idea of what people have told you and you are eager to get started implementing your insights, doing a proper analysis is important for the validity of your results. Depending on the complexity of your project, this can be a simple or a complex task, but no matter what your project is, it’s important that you follow certain guidelines for how to analyze your interviews. When you have carried out user interviews, the next step is to analyze what people have told you. Here, we will teach you how to go from information chaos to patterns and themes that represent the most interesting aspects of your data and which you can use as the foundation for personas, user scenarios and design decisions. All that information can be overwhelming, and it’s difficult to know where to start to make sense of all the data. After the exercise, we will discuss how the process went and any challenges the participants faced.You have been in the field talking to users and you now find yourself with a massive amount of audio, notes, video, pictures, and interesting impressions. Running queries to explore the connections between themes and attributesĮxercise : Participants will be given the opportunity to create case classification and run queries.Following the exercise, there will be a brief group discussion on how the process went and any challenges the participants faced.Ĭonnection Between Codes/Themes and Research Participants The steps required to code interview transcripts and literatureĮxercise : Participants will practice coding using the provided articles or their own interview transcripts.Detailed instructions for these exercises were provided to participants in advance of the workshop.Įxercise : Participants will practice importing documents and creating memos. Participants had the opportunity to practice coding qualitative data, identifying key themes and analyzing the coded data through interactive exercises using NVivo. The in-person workshop took participants through all the essential steps of organizing and analyzing information collected through qualitative research using the NVivo software. How to present and visualize research findings.Techniques for analyzing qualitative data.What are the specific steps to learning NVivo.

NVivo software is designed to help researchers organize, analyze and find insights in qualitative information and turn it into meaningful research findings. To effectively interpret and analyze this information, the researcher must organize material in a systematic way. Qualitative research often generates a great deal of rich and detailed information.

How to use nvivo for thematic analysis