Chatbots are computer programs that mimic human conversation to interact with users through a variety of messaging channels. They are now regularly deployed on e-commerce and business websites providing customer support. Chatbots have also been employed for research and clinical support in the healthcare domain. In the field of psychology, chatbots have been applied to clinical research where survey or interview data collection are substituted with chatbots that can interact with the subjects via phone messaging apps in a non-clinical setting. This paper examines the design and development of a chatbot for a clinical psychology research study. The stakeholders, functionality, perspectives and technical challenges are presented and discussed. We apply a quality of experience framework to explore the factors that impact stakeholders and influence design priories. We present our conclusions regarding the leveraging cloud platforms and the technical customization required for non-standard chatbot use cases.