Supplementary Materials - An empirical study on in-context annotations and notification features in dashboard development tools
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Organisations seeking to better leverage their data assets are driving the growth of data-intensive (DI) software development. DI software, which combines the development of analytics and business applications, is being deployed across an ever-growing range of domains and situations and is increasingly influencing high-stakes decisions. Developing DI software requires multiple skills, including data, software and domain skills. These skills are typically distributed across different individuals working together in multidisciplinary data-intensive software development teams (MDSTs). There is still limited research on the experiences of these teams and the development practices and tools they employ. Modern design tools that incorporate annotation features for UX design and collaborative whiteboarding have become prevalent, with their use growing substantially during and since COVID-19. We carried out a mixed-methods empirical study to explore how team members in MDSTs use data development tools, specifically dashboarding tools, when working with other team members. We investigate whether features such as in-context annotations and notifications in data development tools may be useful to support their multidisciplinary work practices, including data analysis and visualisation reviews. Our findings highlight the potential of these features to better support development practices. Key considerations include data access and security controls, dealing with alert overwhelm and alert fatigue and integration between task management, team collaboration and dashboard development tools. This file contains anonymised supplementary materials for the research paper: DB_F1 - Dashboard sharing feature video DB_F2 - Dashboard annotation feature video DB_F3 - Dashboard comment management feature video Focus Group Template Survey response data Survey response analysis - Statement Agreement Level Distributions



