Designer-to-Agent-Shaper: A Proposed Autoethnographic Study of Transferring Traditional UX Methods to Prompt and Agent Design

The paradigm of Human-Computer Interaction (HCI) is undergoing a structural transformation as artificial intelligence systems evolve from passive, deterministic tools into semi-autonomous, probabilistic collaborators. This research report presents a conceptual framework for an academic and practitioner-oriented autoethnographic study exploring this shift. The proposed study systematically investigates the translation, mutation, and occasional failure of traditional User Experience (UX) methodologies (such as wireframing, design systems, usability testing, and user journey mapping) when applied to prompt design, memory architecture, toolchain governance, and multi-agent orchestration. By adopting a rigorous autoethnographic lens, the framework examines the lived experience of a systems and product design practitioner moving from designing static user interfaces to shaping dynamic agentic workflows.

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