B2B SaaS Solutions
Integrated production status with data in the semiconductor industry, which has generated over $1.1 million CAD
Role
Senior Human Factors Engineer (Designer) / Manager
Team
2 Product Designers • 2 UX Researchers • 1 PM • 5 Developers • 3 Data Scientists
Deliverables
B2B SaaS Solutions • Prototyping • Design Systems
UX Methods
Stakeholder Interviews • User Flows • Usability Testing • Data Analysis • Accessibility Guidelines (WCAG 2.2)
Target Users
The product is designed for technical professionals (Production Engineers/Managers) in the semiconductor industry. As the client expands, they seek solutions to address production issues while quickly reducing risk and costs. These solutions should leverage AI and machine learning to ensure long-term stability. They must include comprehensive logging for issue tracking, system updates, and data visualization of production trends and performance.
Challenges Bring Opportunities and Impacts
Collaboration Among Agile Cross-Functional Teams and Ownership of Design
• The project was delivered in partnership with the product, data, development, and engineering teams under a tight deadline, aligning with the business goals and user needs.
• I thrive in fast-paced, high-stress environments, conducting mixed-methods research, leading UX/UI design, and usability tests while delivering within constraints.
• I successfully delivered a B2B SaaS product that utilizes AI/ML for data and infrastructure, ensuring production stability, accelerating schedules by 60%, and generating over CAD 1.1 million in project revenue through my leadership in design and management.
The Solutions
01. Production manager's workflow navigating from Dashboard, Status Event Log, and Analytics Report.
02. Dashboard displays production status integrated with essential data and signals from various infrastructures.
03. Status Event Log tracks on-site production status, issues, and current action status, providing managers and engineers with precise, traceable data, AI updates, and calls to action.
04. Analytics Report provides data analysis and visualization for production trend analysis and comparison.
05. Design Systems are built from nested components to provide scalable capabilities, employing a Systems Thinking approach that collaborates with developers, data teams, electrical, mechanical, and HVAC engineers to create a tailored B2B SaaS solution for the semiconductor industry.
