Ching-Wen • Senior Product Designer

®2024

Preventing Million-Dollar Errors in Semiconductor Production

Led enterprise AI-powered B2B SaaS design for 9-figure business—$1.1M+ ARR, 30% efficiency gain, $XXXK–$XM+ cost savings per error prevented.

*De-identified for 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

$1.1M+

ARR

project revenue generated

$1.1M+

ARR

project revenue generated

$9-Figure

Tech

business powered

$9-Figure

Tech

business powered

30%

Time-on-task

cut by AI/ML assistance

30%

Time-on-task

cut by AI/ML assistance

$XXXK–$XM+

Cost Savings

per error prevented

$XXXK–$XM+

Cost Savings

per error prevented

01 · The Context

My role and leadership context.

Led UX design and management in fast-paced, high-stress environment.

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.

User need

Production Engineers: Monitor the assigned zone’s status to respond quickly and fix issues.

Production Managers: Supervise multiple zones/teams; write production trends/performance report.

User need

Production Engineers: Monitor the assigned zone’s status to respond quickly and fix issues.

Production Managers: Supervise multiple zones/teams; write production trends/performance report.

02 · The Problem

Production delays cost hundreds of thousands to millions of dollars per incident.

For a $9-figure semiconductor business expanding production sites, manual errors in issue resolution were compounding losses exponentially.

Engineers

Spent 40% of time 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.

Managers

Lacked multi-zone oversight tools.

Couldn’t track production trends effectively.

Spent 4-6 hours/week compiling reports manually.

Managers

Lacked multi-zone oversight tools.

Couldn’t track production trends effectively.

Spent 4-6 hours/week compiling reports manually.

03 · 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 require information into single Status Event Log for quick responses.

Time pressure caused errors.

Risk-prevention focused AI with guided SOPs.

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).

04 · Design Decisions

Why→Outcome: Production engineer portal.
Feature 01: Dashboard
Problem
Engineers need clarity and confidence to focus on production tasks.
Solution
Simplifying live status displays helps engineers focus on production tasks.
Impact
• Provides clarity and confidence. • Leads to quicker issue responses. • Reduces cognitive load in high-pressure environment.
AI/ML Integration
• Live status visibility • Simplified information architecture • Task-focused interface • At-a-glance understanding
Why→Outcome: Production engineer portal.
Feature 02: Status Event Log
Problem
Engineers need effective methods to address recurring issues.
Solution
AI/ML enables SOP guidance, serving as an institutional knowledge database with contextual guidance for quick responses.
Impact
• Results in a standard operating procedure (SOP) for issue resolution. • Data-driven insights for faster problem-solving. • Pattern recognition for common issues. • Reduced time-on-task (30% faster).
AI/ML Integration
• Automatic pattern detection. • Suggested resolution paths based on historical data. • Predictive issue identification. • Learning from past resolutions.

Why→Outcome: Production manager portal.
Feature 01: Dashboard
Problem
Managers need to supervise multiple zones and teams simultaneously.
Solution
Having a shortcut switch enables managers to sync with live status across multiple production zones.
Impact
• Supervise teams in real time. • Track logs for effective management. • Quick zone switching. • Holistic overview capability.
AI/ML Integration
• Multi-zone view capability. • Quick context switching. • Real-time synchronization. • Cross-team visibility.
Why→Outcome: Production manager portal.
Feature 02: Status Event Log
Problem
Managers need to supervise multiple zones and teams simultaneously.
Solution
Having a shortcut switch enables managers to sync with live status across multiple production zones.
Impact
• Supervise teams in real time. • Track logs for effective management. • Quick zone switching. • Holistic overview capability.
AI/ML Integration
• Multi-zone view capability. • Quick context switching. • Real-time synchronization. • Cross-team visibility.
Why→Outcome: Production manager portal.
Feature 03: Analytics Report
Problem
Managers need to analyze performance and write reports efficiently (4-6 hours/week compiling reports manually).
Solution
Data integration/visualization helps managers analyze production performance, compare trends/metrics.
Impact
• Facilitating report writing more efficiently: 30 minutes/week (90% time savings). • Data-driven decision making. • Trend comparison and analysis.
AI/ML Integration
• Performance metrics visualization. • Trend analysis tools. • Comparative analytics.

05 · Scalable Design Systems

Design Systems are built from nested and reusable components.
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 technical professionals and semiconductor tech industry.
Design Systems are built from nested and reusable components.
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 technical professionals and semiconductor tech industry.

04 · Design Decisions

Why→Outcome: Production engineer portal.
Feature 01: Dashboard
Problem
Engineers need clarity and confidence to focus on production tasks.
Solution
Simplifying live status displays helps engineers focus on production tasks.
Impact
• Provides clarity and confidence. • Leads to quicker issue responses. • Reduces cognitive load in high-pressure environment.
AI/ML Integration
• Live status visibility • Simplified information architecture • Task-focused interface • At-a-glance understanding
Why→Outcome: Production engineer portal.
Feature 02: Status Event Log
Problem
Engineers need effective methods to address recurring issues.
Solution
AI/ML enables SOP guidance, serving as an institutional knowledge database with contextual guidance for quick responses.
Impact
• Results in a standard operating procedure (SOP) for issue resolution. • Data-driven insights for faster problem-solving. • Pattern recognition for common issues. • Reduced time-on-task (30% faster).
AI/ML Integration
• Automatic pattern detection. • Suggested resolution paths based on historical data. • Predictive issue identification. • Learning from past resolutions.

Why→Outcome: Production manager portal.
Feature 01: Dashboard
Problem
Managers need to supervise multiple zones and teams simultaneously.
Solution
Having a shortcut switch enables managers to sync with live status across multiple production zones.
Impact
• Supervise teams in real time. • Track logs for effective management. • Quick zone switching. • Holistic overview capability.
AI/ML Integration
• Multi-zone view capability. • Quick context switching. • Real-time synchronization. • Cross-team visibility.
Why→Outcome: Production manager portal.
Feature 02: Status Event Log
Problem
Managers need to supervise multiple zones and teams simultaneously.
Solution
Having a shortcut switch enables managers to sync with live status across multiple production zones.
Impact
• Supervise teams in real time. • Track logs for effective management. • Quick zone switching. • Holistic overview capability.
AI/ML Integration
• Multi-zone view capability. • Quick context switching. • Real-time synchronization. • Cross-team visibility.
Why→Outcome: Production manager portal.
Feature 03: Analytics Report
Problem
Managers need to analyze performance and write reports efficiently (4-6 hours/week compiling reports manually).
Solution
Data integration/visualization helps managers analyze production performance, compare trends/metrics.
Impact
• Facilitating report writing more efficiently: 30 minutes/week (90% time savings). • Data-driven decision making. • Trend comparison and analysis.
AI/ML Integration
• Performance metrics visualization. • Trend analysis tools. • Comparative analytics.

05 · Scalable Design Systems

Design Systems are built from nested and reusable components.
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 technical professionals and semiconductor tech industry.
Design Systems are built from nested and reusable components.
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 technical professionals and semiconductor tech industry.

$9-Figure

Tech

$9-Figure

Tech

30%

Time-on-task

30%

Time-on-task

$XXXK–$XM+

Cost Savings

$XXXK–$XM+

Cost Savings

My role and leadership context.

Technical achievement.

Business goal

User need

User need

Production delays cost hundreds of thousands to millions of dollars per incident.

Engineers

Managers

Managers

Research methods: Stakeholder/user interviews, workflow observations, usability testing.

Key UXR insights

Impact on design

Feature 01: Dashboard

Feature 02: Status Event Log

Feature 01: Dashboard

Feature 02: Status Event Log

Feature 03: Analytics Report

Feature 01: Dashboard

Feature 02: Status Event Log

Feature 01: Dashboard

Feature 02: Status Event Log

Feature 03: Analytics Report

$1.1M+

ARR

$1.1M+

ARR

$9-Figure

Tech

$9-Figure

Tech

30%

Time-on-task

30%

Time-on-task

$XXXK–$XM+

Cost Reduced

$XXXK–$XM+

Cost Reduced

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