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Surveys as UXR: Using Design Thinking to Shape a Survey-Based UX Assessment for Rural Audiences

Kaitlin J. Coyle & Derek G. Ross

IEEE Transactions on Professional Communication2026https://doi.org/10.1109/tpc.2026.3658115article
ABDC B
Weight
0.50

Abstract

About the case: While several established user-experience research (UXR) methods can reach far-away users (e.g., remote usability testing), the digital divide makes implementation difficult, especially for rural populations facing barriers to transportation and high-speed internet. Situating the case: Web surveys can eliminate these concerns by providing customization for specific use cases, gathering both qualitative and quantitative data, and combining multiple questionnaires and/or UXR methods within them. Our case study demonstrates an instance where our lab—Auburn University's Lab for Usability, Communication, Interaction, and Accessibility—used advocacy-based HCD and design thinking (DT) to develop a nonstandard UXR Qualtrics web survey to solve our client's wicked problem: designing a usability test for rural audiences unable to travel to our lab while also considering time constraints and technological literacy. Methods: Our survey design followed the Nielsen Norman Group's adaptation of DT, and our process was informed by academic research on: 1. Survey design, question formats, and response bias, 2. Existing user-experience (UX)/usability methods, and 3. Mixed-methods approaches to UXR. Discussion: Our work suggests this tool can potentially serve as the UX testing situation itself, implementing multiple in-person research methods (i.e., heatmapping, user interviews, card sorting) virtually. Conclusion: We conclude with six survey design suggestions and a discussion of how this nonstandard UXR tool can reach underrepresented or vulnerable populations, serving to empower and advocate for users. We suggest that using DT to ideate new UXR methods is a means for UXR practitioners conducting future studies to better address the wicked problems they will face.

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https://doi.org/https://doi.org/10.1109/tpc.2026.3658115

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@article{kaitlin2026,
  title        = {{Surveys as UXR: Using Design Thinking to Shape a Survey-Based UX Assessment for Rural Audiences}},
  author       = {Kaitlin J. Coyle & Derek G. Ross},
  journal      = {IEEE Transactions on Professional Communication},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1109/tpc.2026.3658115},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.