Agentic UX for Google’s Manufacturing Software, Powered by AI AI/ML
Google, DSPA — March 2022 – Present
My Role
Lead Product Designer - Feature Scoping, User Research, Data-Driven UX, Interaction Design, Visual Design, Prototyping, AI-Driven Workflows
Team: 20+ Members
TPMs, Data Scientists, Engineers, and Product Operations.
Timeline & Status
3 Years | Ongoing
Challenge
- How might we design agentic AI workflows that empower users to make informed decisions within Google’s smart manufacturing ecosystem?
- How might we leverage AI/ML to transform complex manufacturing data into clear, actionable insights while maintaining user autonomy and trust?
Overview
A centralized system for gathering and examining data produced in manufacturing plants is offered by a manufacturing data analytics tool. This centralized solution enables the creation of an autonomous, intelligent global operating system by facilitating Smart Manufacturing.
I led the holistic user experience for manufacturing software by applying data-driven analysis and machine learning techniques, incorporating practical use cases.
As the Product Designer for an innovate smart manufacturing software team, my task involved developing UX solutions that present practical insights in a way that users can readily understand and apply through data visualization.
View the full case study here.
Works
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Made with love © 2025 Bryan BeomSeok Oh
2025 Bryan Oh • Product Designer 😉
Designing for clarity, solving with intent. Currently crafting UX for manufacturing analytics—powered by Bubble tea🧋.
“The technology we design to make life easier should not only understand our needs but also recognize our struggles, reminding us that true innovation begins with empathy.”
"AI-driven UX should be empathetic, empowering users with seamless agentic workflows that adapt to their needs”