This article proposes a sensemaking methodology to enhance human-in-the-loop technical and professional communication (TPC) practices when working with generative artificial intelligence (GenAI) output, which is often ambiguous and not always accurate. Sensemaking describes actions and cognitive strategies humans use to make sense of new/ambiguous information. We argue that sensemaking can help TPC students navigate making sense of GenAI output for better judgment in evaluating AI output. Particularly, we leverage sensemaking's Situation-Gap-Bridge-Outcome framework as a heuristic to identify situational contexts outside of GenAI, gaps in knowledge, create bridges for those gaps, and evaluate outcomes and connect this to extant TPC literature and discuss its implications.

As digital technologies rapidly evolve, updating and enhancing models of digital literacy pedagogy in technical and professional communication (TPC) becomes more urgent. In this article, we use "digital life" to conceptualize the ever-changing ways of knowing and being in postinternet society. Using collaborative autoethnography, we investigate features of threshold concepts in TPC pedagogy that may support models of digital literacy that are resistant to tools-based definitions, foster student agency, and facilitate accessibility, equity, and justice.

This study investigates the rhetorics of smart cities and how they define citizens’ agency. We consider the framing of human control against automated technological infrastructures in smart and playable cities. Through examining selected smart city plans from the U.S., Europe, and Asia, we share results from the comparisons of these plans to draw implications for technical and professional communication (TPC) practices and pedagogy. We propose a postconnectivist trajectory for TPC toward the increasingly datafied future.

This article follows up on the conversation about new streams of approaches in technical communication and user experience (UX) design, i.e., design thinking, content strategy, and artificial intelligence (AI), which afford implications for professional practice. By extending such implications to technical communication pedagogy, we aim to demonstrate the importance of paying attention to these streams in our programmatic development and provide strategies for doing so.

Technical and professional communication (TPC) and user experience (UX) design are often seen as intertwined due to being user-centered. Yet, as widening industry positions combine TPC and UX, new streams enrich our understanding. This article looks at three such streams, namely, design thinking, content strategy, and artificial intelligence to uncover specific industry practices, skills, and ways to advocate for users. These streams foster a multistage user-centered methodology focused on a continuous designing process, strategic ways for developing content across different platforms and channels, and for developing in smart contexts where agentive products act for users. In this article, we synthesize these developments and draw out how these impact TPC.

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.

As people today use information products in contexts with distractions, we need to design for people’s attention. User experience design routinely relies on behavioral design to engage distracted users and nudge them toward specific behavior. Although practiced in user experience design, behavioral design is less known in technical communication. In this article, we use the CHOICES (Context, Habits, Other people, Incentives, Congruence, Emotions, and Salience) framework developed by McKinsey’s Behavioral Lab to introduce students to learn about behavioral design principles that make use of cognitive biases to influence people. We maintain that behavioral design is useful for technical communicators because they create digital assets that are part of the user experience.

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.