Sherry Liao

UXD
3 years in B2E, B2C product
Resume
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Sherry Liao

UXD
3 years in B2E, B2C product
About
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Manufacturing Engineer Intern @ Taiwan Semiconductor Manufacturing Corp.

From Confusion to Clarity: Redesigning TSMC's Photolithography Scheduling Dashboard

As a sole UX intern embedded in TSMC's photolithography manufacturing team, I redesigned a scheduling report system used by engineers across Taiwan and the U.S. — applying Kansei Engineering and Kano analysis to transform an Excel-like interface into a structured, error-resistant dashboard.

UX ResearchUX DesignB2E · Enterprise
As a UX intern at TSMC's Southern Taiwan Science Park fab, I conducted cross-market user research and redesigned the NXT scheduling report interface used by photolithography engineers — applying Kansei Engineering to translate engineer sentiment into concrete interface decisions.
OVERview

Visual assets are not shown due to NDA / PIP restrictions. All process descriptions and design decisions are presented in abstracted form.

ROLE

Sole UX Intern

End-to-end research and redesign
DURATION

1 month

2022/07 - 2022/08
DOMAIN

Semiconductor manufacturing · Internal enterprise system

(Taiwan / U.S. Arizona)

This project involved designing a BMC (Baseboard Management Controller) dashboard used by server administrators and engineers in enterprise environments. Unlike consumer-facing products, the system needed to support engineers with significantly different diagnostic workflows, technical expertise levels, and market expectations.

The problem

Engineers were making dispatch decisions based on raw numbers in an Excel-like table

— with no visual hierarchy, no alerts, and no error prevention

No visual differentiation

All data was presented as plain numbers with no color coding, status indicators, or alert signals. Engineers had to manually scan numerical values to identify anomalies — a process highly prone to misreads, especially under time pressure.

Manual formula dependency

To assess whether current dispatch loads were within safe operating ranges, engineers had to manually apply formulas outside the system. There was no built-in calculation or threshold visualization — meaning critical decisions depended on manual arithmetic.

Customized columns obscuring core data

Over time, engineers had added many personalized calculation columns to the report. While useful individually, the accumulation made it difficult to locate the most fundamental machine status information — the baseline data that every dispatch decision depends on.

No feedback channel

There was no established communication path between engineers and the report development team. Interface pain points accumulated silently, with no mechanism for engineers to request improvements or flag usability issues.

Research

Three stakeholder groups. Two markets. One mixed-methods research framework.

Photolithography engineers (machine operators)

Primary users of the NXT report — responsible for day-to-day dispatch decisions. Interviews revealed consistent friction with the flat data presentation and the cognitive load of manually interpreting raw numbers under production time pressure.

Scheduling engineers (dispatch planners)

Responsible for broader workload planning across machines. Surfaced a higher-level concern: inaccurate dispatch decisions made at the operator level compound into systemic scheduling errors that affect overall fab efficiency.

Management / supervisors

Provided organizational context on why the report had evolved into its current state, and confirmed that reducing error rates in dispatch decisions was a meaningful operational goal.

Core insight box

Core finding: the interface had been incrementally customized by individual engineers over time, creating a system optimized for no one. The most critical baseline data — fundamental machine status — was buried under layers of personalized calculation columns that different engineers had added for their own workflows.
Research Methodology

Kano analysis to prioritize. Kansei Engineering to translate sentiment into design decisions.

1.

Qualitative interviews

Conducted interviews with the lead engineer to surface and document usability pain points. This produced a structured list of friction points ranked by frequency and impact on dispatch accuracy.
2.

Kano questionnaire

Distributed a Kano model questionnaire to engineers across Taiwan and U.S. Arizona to understand which pain points were must-haves vs. nice-to-haves. This cross-market data ensured the redesign prioritized issues that affected the broadest set of users — not just locally vocal ones.
3.

Kansei Engineering

Applied Kansei Engineering through a bipolar adjective questionnaire to understand how engineers emotionally and cognitively responded to different design feature directions. For each proposed interface change, engineers rated their response on semantic differential scales — mapping which design features reduced "confusion" and increased "clarity" and "trust."
Design Decisions
Decision 1 · Status indicators on numerical values
Before
Raw numbers only — engineers manually scanned values to detect anomalies
After
Color-coded status indicators applied to critical values — thresholds visualized directly in the interface
Decision 2 · Tab-based machine separation
Before
All machines in a single flat table, different machines on different rows
After
Each machine given its own tab — reducing cross-machine visual noise
Decision 3 · Multi-layer information hierarchy
Before
Flat layout — all data at equal visual weight
After
Three-tier hierarchy: primary status on main view → secondary categories in left column → detail in top tabs
Decision 4 · Separation of core data from custom columns
Before
Fundamental machine status mixed with calculation columns
After
Core status elevated to primary view; custom columns moved to secondary layers
Decision 5 · Dashboard-style navigation layout
Before
Excel-style flat layout with no navigation structure
After
Dashboard navigation: primary categories in left column, subcategories in top tabs
Validation

Lead engineer prototype walkthrough — within a constrained timeline

Diagnostic sequence confirmed

The lead engineer confirmed all five design changes would effectively reduce dispatch error rates. The status indicator system and core data separation were specifically highlighted as addressing the most frequent source of misreads.A feature request also surfaced: self-service custom column functionality — the ability to add personalized calculation fields without going through the report development team. Documented as future direction.

Formal usability metrics not available due to timeline constraints and NDA restrictions.
Reflection

This project required rapidly building domain knowledge in semiconductor manufacturing — understanding how photolithography dispatch decisions are made, what data engineers rely on, and why errors here have direct production consequences.The application of Kansei Engineering in an industrial B2E context was deliberate: standard usability metrics tell you what fails — Kansei analysis tells you how the interface makes people feel while working. In a high-stakes manufacturing environment, understanding the perceptual experience of using a report system is just as important as measuring task completion.The cross-market Kano questionnaire — distributed to both Taiwan and U.S. Arizona engineers — ensured the redesign reflected genuine user priorities across operational contexts, not just the preferences of the most vocal local users.

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© Sherry Liao 2026
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