Exploring game analytics solutions for data-driven user research in indie studios

Abstract

User research methodologies can be applied to games for the purposes of evaluating and improving them. Performing user testing during game development can highlight issues in gameplay early on, generally improving the end product. However, this evaluation can be costly, requiring frequent user tests and analysis. Because of this, small-size studios can find it difficult to perform formative evaluations of their games, simply due to a lack of resources. In this thesis, analytics methodologies in a mixed-methodology approach are proposed to help optimize the user research process, helping developers make informed choices to improve their games. This thesis features a framework which can be used to help assist these small-size developers in choosing from different solutions. Using this framework, three solutions are discussed and recommendations are given based on developer needs.