LG MAL

Shipped 2023

SaaS

End To End

♦︎

TL;DR

Driving Consistency & Efficiency with LG’s AI Content Verification Platform

ROLE

PRODUCT DESIGNER

TEAM

PM, ENGINEERS, TECHNICAL WRITERS

Duration

DEC 2023 - JUL 2024

PROBLEM

Awkward phrasing and grammar mistakes in the product UI weren’t caught before launch, causing users to lose trust in the product’s quality and damaging the overall brand experience.

SOLUTION

After the internal audit, I expanded the scope to design a new internal SaaS tool that lets teams search, verify, and store content to improve quality and consistency across the entire writing process.

IMPACT

The system caught 134 errors—nearly three times more than manual reviews—and cut revision time by 50%, proving its impact in improving content quality and delivery speed.

Enter Password

CHALLENGE

“Feels like a dumb AI translated another language into English.”

Google user review

As LG aimed to build a stronger premium presence in the U.S., poor UX writing started showing up as a real problem. Awkward phrasing, grammar mistakes, and inconsistent formatting were frustrating users and making the products feel less polished than they should.

An internal audit revealed that the label creation and verification process was overly manual and complex, with fragmented workflows across global teams leading to frequent inconsistencies and quality gaps.

This led our team to ask:

“How might we make product content more consistent and clear, so users don’t feel confused or disappointed when using our products?”

SOLUTION OVERVIEW

I set out to build a solution that improved user-facing content quality while making the process easier for internal teams.

The focus was on simplicity, with a clean, intuitive interface that anyone could understand at first glance while addressing three key needs our internal stakeholders emphasized: easy search, automated verification, and one unified space to store all guidelines and exceptions.

SEARCH

VERIFY

STORE

The Verify tab allows employees to review entire label, leveraging Busan University AI to catch minor grammar errors and ensure compliance with brand UX writing guidelines.

Employees can access the latest style guide across all HQ divisions in one platform, eliminating the need to track down document owners for product term details.

Employees can quickly look up past label examples by typing a word, phrase, or branded term, making it easy to stay consistent with brand standards and accurate terminology.

01.

RESEARCH

First, I needed to understand why so many label errors were slipping through and going unnoticed before product launch.

SEARCH

VERIFY

REFERENCE

KOREA HQ

HEEJAE

Product Designer

“I’m not fluent in English so I want to look at past labels for reference because I worry about making grammar mistakes, but it’s really hard to find them.

PAIN POINT

US HQ

MEGAN

Technical Writer

PAIN POINT

"I don't have time to version control my edits. I often end up sending contradictory changes, and it's really embarrassing."

KOREA HQ

JUNG HO

Product Manager

PAIN POINT

"Since different teams manage the label lists and own rules it’s hard for me to find the latest version for reference. "

Interviewed
10 employees across LG Korea & US HQ

Shadowed technical writer in Chicago R&D to understand verification process.

Analyzed 300+ labels reported to have errors

From the interviews I realized, designers, writers, PMs and QA all used different guidelines, work flows and verification criteria. Content bounced between teams via the classic email on separate excel attachments...oy, often duplicating review cycles.

The manual process came with other major side effects. Many employees weren’t fluent in English but couldn’t use translation tools because of company policies, and past label examples that could have been helpful references were buried in long email threads, making them almost impossible to find.

Looks crazy, I know.

02.

SCOPE

Based on the research results, I pushed to expand the project beyond a simple UX writing guideline update to design a new 0–1 verification tool to improve collaboration and efficiency across teams.

I wanted to address two critical gaps:

No universal guidelines or single source of truth: Collect, organize, and unify data from different teams into one shared system.

No single tool to support quality content creation: Build a simple platform employees can use to reference past work, automate verification steps, and manage everything related to label creation in one place.

Original Scope

UX writing guideline

0-1 Verification tool

Expanded Goal

Known Issues

Lack of Universal UX writing guidelines

Inconsistent label verification results

Access to past label examples

of similar products or services

Newly Discovered Issues

Language proficiency

No technical tools or support provided for consistent results

No access to past label examples

Manual verification process

affecting results consistency.

Phase 1: Collect data and create universal UX writing guideline

Phase 2: Build verification tool MVP to test on internal stakeholders