Since its advent in the early 2000s, direct-to-consumer genetic testing has emerged as a global phenomenon with over 26 million people having undergone some form of genetic ancestry testing. In this project, we intended to analyze how customers of direct-to-consumer companies interpret their results and how these results can affect how they identify, how they view race or ethnicity as a concept and new cultural traditions or behaviors they undertake subsequently. Initially, these interviews were obtained through an online survey allowing anonymous responses from all around the globe. Around 76% of interviewees ended up consenting to an interview and 92% of interviewees were American. Within the coding list, there were over 150 codes that could be assigned to varying types of responses. Certain types of code groups like the “New,” “Identity” and “Long-term” were created for every type of response given by participants to pre-set questions regarding specific themes. Throughout the research process, we tested out several quantitative analysis coding software before choosing MaxQDA and its tools to code this quantitative data. Other types of software like NVivo were implemented originally, but due to issues with software incompatibility and technological malfunctions, MaxQDA was selected to move forward. Through collaborative activities such as group coding and peer-review activities, we were able to achieve intercoder reliability, a method used to measure the extent to which different researchers agree on how to code different data. Weekly coding meetings were held to further our ability to code independently while maintaining a group setting. Due to experiences in interview coding as well as examination of interviewee responses, we were able to gain more familiarity with qualitative research methods, collaborative research, and diverse perspectives on racial identities and cultures.