Human-Centered Design (HCD) User Feedback Summary, Analysis, and Design
Description
The Human-Centered Design (HCD) team uses Large Language Models (LLMs) and custom agents to enhance user experience (UX) research. The AI system streamlines tasks such as analyzing user feedback, generating user stories, summarizing workshop outcomes, and refining user personas. The primary purpose is to improve the accessibility and clarity of user feedback, providing a better understanding of the needs of veterans and healthcare providers. The main problem to be solved is to maximize insights with massive amounts of app feedback to drive change.
Detailed example
Power BI dashboard consolidating app feedback across Mobile App (VA resource), Feedback UI (VA resource), Google, and Apple.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Faster insights, less manual labor for staff, and improved efficiency.
Controls / human review
ATO: Not reported; PIA: Not published