A Lens to Pandemic Stay at Home Attitudes

TL;DR

This paper details the design process and challenges faced during a rapid, multidisciplinary project analyzing stay-at-home attitudes and social media moral framing amid the pandemic, highlighting lessons learned.

Contribution

It provides insights into designing data-driven visualizations under tight deadlines, evolving datasets, and complex requirements in a pandemic context.

Findings

Identified key challenges in rapid visualization design during a pandemic.

Documented lessons learned for future fast-paced data visualization projects.

Highlighted the importance of flexible design processes in dynamic data environments.

Abstract

We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our typical design experience, we had to handle a steeper learning curve, emerging and continually changing datasets, as well as under-specified design requirements, persistent low visual literacy, and an extremely fast turnaround for new data ingestion, prototyping, testing and deployment. We describe the lessons learned through this experience.