Lessons Learned to Improve the UX Practices in Agile Projects Involving Data Science and Process Automation
Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Helio Lopes, Simone, D. J. Barbosa

TL;DR
This study explores practices and challenges in UX integration within agile data science and automation projects, emphasizing the importance of end-user participation and communication strategies for better problem understanding.
Contribution
It provides empirical insights into UX practices, challenges, and perceptions in agile data science projects, highlighting the need for improved user-team communication methods.
Findings
Prototypes and stakeholder meetings are commonly used practices.
Using Lean Inceptions aids in problem understanding.
End-user participation is critical for defining problems and overcoming barriers.
Abstract
Context: User-Centered Design and Agile methodologies focus on human issues. Nevertheless, agile methodologies focus on contact with contracting customers and generating value for them. Usually, the communication between end users and the agile team is mediated by customers. However, they do not know the problems end users face in their routines. Hence, UX issues are typically identified only after the implementation, during user testing and validation. Objective: Aiming to improve the understanding and definition of the problem in agile projects, this research investigates the practices and difficulties experienced by agile teams during the development of data science and process automation projects. Also, we analyze the benefits and the teams' perceptions regarding user participation in these projects. Method: We collected data from four agile teams in an academia-industry…
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