Preventing Million-Dollar Errors in Semiconductor Production
Led enterprise AI-powered B2B SaaS design for 9-figure business—42.86% time-on-task reduced, $100K–$1M+ cost savings per error prevented.
*Content has been de-identified in accordance with the NDA.
Industry
B2B
SaaS
Enterprise UX
AI/ML
Role
Senior Product Designer
Team
2 Product Designers • 2 UX Researchers • 1 PM • 5 Developers • 3 Data Scientists
Skills
B2B SaaS Solutions • Prototyping • Scalable Design Systems • Stakeholder/User Interviews • User Flows • Usability Testing • Data Analysis • Accessibility (WCAG)
Impacts
01 · The Context
My role and leadership context.
Led end-to-end UX design and team management for an AI-powered platform protecting a $9-figure semiconductor manufacturing business from production errors worth millions per incident.
Led 13-person agile cross-functional team (2 designers, 2 researchers, 1 PM, 5 developers, 3 data scientists).
Owned end-to-end UX strategy, research, design, and delivery.
Made strategic trade-off decisions under uncertainty to maximize impact.
Technical achievement.
Successfully delivered B2B SaaS product leveraging AI/ML, data infrastructure, and comprehensive logging with the client’s security system.
AI-powered error prevention for high-stakes production environments.
Enterprise UX solutions for issue tracking, system updates, and data analysis/visualization.
Real-time production monitoring with AI/ML predictive analytics from big data.
Business goal
Solutions support expansion on production sites and product lines.
Solutions help staff fast address production issues to mitigate risk and cost.
Solutions integrated with data and infrastructure to apply AI/ML patterns for long-term production stability and reliability.
02 · The Challenge
For a $9-figure semiconductor business expanding production sites, production delays caused by manual errors cost $100K–$1M+ per incident.
Production engineers and managers encounter challenges in complex, multi-system environments in their daily work.
Engineers
Spent 12 minutes searching across 4-5 systems.
Made rushed decisions under pressure → costly errors.
New hires need instant access to proven SOPs that are hard to memorize quickly.
03 · The Approach: Key UXR Insights & Impact on Design
Research methods: Stakeholder/user interviews, workflow observations, usability testing.
Key UXR insights
Impact on design
40% of the time was wasted searching for info across various sources.
Consolidated the required information into a Status Event Log for quicker responses, resulting in 144x faster data access.
Time pressure caused errors.
Risk-prevention-focused AI with guided SOPs specifically benefits new hires, with 42.86% faster issue resolution.
Engineers vs. Managers = different needs.
Built separate portals tailored to user needs and business goals, not one-size-fits-all solutions (Back-end dev support required).
05 · Scalable Design Systems
I help build reusable components and tokens for scalable design systems in complex and data-heavy industries.
Implement scalable capabilities using a systems-thinking approach, collaborating with developers and data scientists to deliver B2B SaaS solutions for technical professionals in enterprise UX.
Impacts