Correlations between the Net Promoter Score Subgroups and Video Streaming Quality

Abstract: The video streaming business has grown substantially during the last decades. To optimize the user experience in video streaming, it is important to know how the user satisfaction relates to the technical qualities for the video streaming services, such as bufferings and startup times.  The Net Promoter Score (NPS) is a widely used management tool used in surveys to measure customer satisfaction and loyalty. The users are categorized into three user groups based on a survey question. This thesis investigates whether it is possible to find correlations between the three user groups based on NPS ratings and measured technical qualities from video streams. Initial data exploring through information visualization suggested that the data should be separated into live streams and video-on-demand. Statistical analysis showed that the NPS user groups have no correlations to how long the users are watching the streams, nor to how long the video takes to start. The results showed, that the users watching live streams seem to be more sensitive to lower qualities than those watching video- on-demand. However, this could also be due to the fact that the measured technical qualities during live streams are generally lower. The buffering and the seek time proved to have correlations to the measured user satisfaction, but several other factors such as the actual video content could also have big impacts on the user’s ratings. The users which had experienced more buffering and longer seek times were more likely to rate the service with a lower score, than the average user.