RESUMO
Empirical research on software development practices in startups is growing. However, little has been investigated about how User eXperience (UX) work has been carried out in software startups. The primary objective of this paper is to investigate what software startups need from UX work. To achieve this goal, we conducted open-ended interviews and retrospective meetings with 16 software professionals from two software startups in Brazil. We analysed the data qualitatively using different coding approaches: initial coding, focused coding, and theoretical coding. We found 14 UX work-related needs which emerged from the daily practices used for software development in the two startups studied. Based on our findings, we propose an initial theoretical framework that highlights two theoretical themes and four groups underlying the needs identified. Our study reveals several relationships between UX work-related needs which are helpful to understand in order to identify what startups need from UX work in practice and to focus startup teams' efforts on the most urgent needs. As future work, we plan to explore ways in which these needs may be addressed so that UX work may be put into practice in software startups.
RESUMO
User experience (UX) is a quality aspect that considers the emotions evoked by the system, extending the usability concept beyond effectiveness, efficiency, and satisfaction. Practitioners and researchers are aware of the importance of evaluating UX. Thus, UX evaluation is a growing field with diverse approaches. Despite various approaches, most of them produce a general indication of the experience as a result and do not seek to capture the problem that gave rise to the bad UX. This information makes it difficult to obtain relevant results to improve the application, making it challenging to identify what caused a negative user experience. To address this gap, we developed a UX evaluation technique called UX-Tips. This paper presents UX-Tips and reports two empirical studies performed in an academic and an industrial setting to evaluate it. Our results show that UX-Tips had good performance in terms of efficiency and effectiveness, making it possible to identify the causes that led to a negative user experience, and it was easy to use. In this sense, we present a new technique suitable for use in both academic and industrial settings, allowing UX evaluation and finding the problems that may lead to a negative experience.