This study explores how a human-centered design (HCD) approach encourages written communication researchers to rethink methodologies when studying wicked problems, particularly in healthcare communication contexts. We argue for “methodological mutability” as a strategy to address complex and evolving challenges in rural healthcare communication. Using design thinking principles, we investigated how generative AI (GenAI) and machine learning can enhance medical communication, streamline documentation, and improve telemedicine usability. Our research revealed that rural healthcare providers view effective patient-provider communication as their primary challenge. This finding led us to pivot toward exploring how AI applications can structure and enhance patient narratives. We advocate for researchers to adopt a designer mindset, integrating methodological flexibility to move beyond problem analysis and instead develop solutions. By embedding HCD, design thinking, and methodological mutability into research design, researchers can prioritize practical interventions when working in spaces beset by wicked problems.

Abstract This article explores the creation and sustainment of a standing antiracist pedagogy group in a technical and professional communication program at a large, predominantly white Midwestern R1 university with a strong STEM culture. Reflecting on personal and collective experiences, group members discuss the evolution of the group, how the group fosters sustained engagement and ongoing development among its members, and its hopes (as well as challenges) for the future. Ultimately, the authors aim to provide a framework for the development of other kinds of support groups in universities and beyond.

This study investigates how chronic pain is represented in widely used pain assessment scales. Through a thematic analysis, four overarching themes are identified: pain is framed as a linear continuum, depicted as a progressive bodily obstacle, normalized to a baseline of zero, and characterized as a predictable condition. The design of these scales oversimplifies the complexities of chronic pain into a linear narrative that can potentially marginalize patient experiences and lead to treatment delays. This research advocates for a shift toward patient experience design (PXD) to develop more nuanced, human-centered assessment tools that better capture the fluidity of chronicity.

This article examines issues of authenticity involved in using generative AI to compose technical and professional communication (TPC) documents. Authenticity is defined through an Aristotelian understanding of ethos, which includes goodwill ( eunoia), practical wisdom ( phronesis), virtuousness ( arete), and Fromm's concepts of true self and pseudo self. The authors conducted an initial analysis of AI affordances that align with TPC concerns—genre, plain language, and grammatical/mechanical correctness. The preliminary results show that these affordances may be limited by issues of inauthenticity. The authors suggest that in order to address AI's limitations, writers should adopt a rhetoric of authenticity via real-world engagement, human centeredness, and personal style.