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Complex data visualization design projects often entail collaboration betweenpeople with different visualization-related skills. For example, many teamsinclude both designers who create new visualization designs and developers whoimplement the resulting visualization software. We identify gaps between datacharacterization tools, visualization design tools, and development platformsthat pose challenges for designer-developer teams working to create new datavisualizations. While it is common for commercial interaction design tools tosupport collaboration between designers and developers, creating datavisualizations poses several unique challenges that are not supported bycurrent tools. In particular, visualization designers must characterize andbuild an understanding of the underlying data, then specify layouts, dataencodings, and other data-driven parameters that will be robust across manydifferent data values. In larger teams, designers must also clearly communicatethese mappings and their dependencies to developers, clients, and othercollaborators. We report observations and reflections from five largemultidisciplinary visualization design projects and highlight six data-specificvisualization challenges for design specification and handoff. These challengesinclude adapting to changing data, anticipating edge cases in data,understanding technical challenges, articulating data-dependent interactions,communicating data mappings, and preserving the integrity of data mappingsacross iterations. Based on these observations, we identify opportunities forfuture tools for prototyping, testing, and communicating data-driven designs,which might contribute to more successful and collaborative data visualizationdesign.

Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff