Analyzing data gathered around COVID-19 can increase our understanding of its spread and the social and economic impacts. Data visualizations can help various stakeholders understand the outbreak. To this end, this article seeks to understand how COVID-19 data dashboards utilized actionable metrics to inform various stakeholders. Used in lean methodology, actionable metrics specifically tie data visualization to actions to improve a specific situation. The authors discuss how actionable metrics were used in COVID-19 data dashboards to inspire actions of various stakeholders by modeling different outcomes through future projections. In turn, the authors explore how actionable metrics in data dashboards can inform new business and technical communication practices for data visualization.

In a networked society, humans are connected through mobile devices to always-on networks, and these technologies merge with us in new ways. In this environment, studying human-networked interactions involves an expanded type of usability. In this article, we argue that a key component of usability is how humans connect and disconnect from these networks. For this reason, the authors advocate studying how users connect and disconnect between online and offline contexts in their everyday life. Such an effort involves questioning our assumptions about the role of connection in usability and introduces methodological issues in studying these processes. These shifts require our research to be more multidisciplinary and more methodologically demanding, with major implications for the portability and durability of technical communication research.