Urban Outfitters: Warehouse Dashboard

Help optimizing 900+ warehouse employees experience

ROLE

ROLE

Product Designer

Product Designer

SKILLS

SKILLS

UI Design

Visual Design

UX Research

UI Design

Visual Design

UX Research

STAKEHOLDERS

STAKEHOLDERS

Warehouse workers

Warehouse managers

Warehouse workers

Warehouse managers

OVERVIEW ✍️

This project is centered around resolving the challenges that warehouse employees at Urban Outfitters faced. The result sucessfully reduced the task completion time by 50% and enhance user accessibility. ​

This project is centered around resolving the challenges that warehouse employees at Urban Outfitters faced. The result sucessfully reduced the task completion time by 50% and enhance user accessibility. ​

This project is centered around resolving the challenges that warehouse employees at Urban Outfitters faced. The result sucessfully reduced the task completion time by 50% and enhance user accessibility. ​

THE PROBLEM 🚩

Warehouse employees experienced frequent accidental taps and struggled to navigate through complex menus because they were holding the cloth with one hand and interacting with the mobile device with the other, leading to slower task completion times.

"We only use the device with one hand
and busy holding clothes on the other hand."

- A.J, Warehouse Manager

- A.J, Warehouse Manager

- A.J, Warehouse Manager

Poor Interaction Design
Poor Interaction Design

Warehouse staff often carry clothing in one hand, making it hard to tap or scroll with the other.

01
Poor Interaction Design
Poor Interaction Design

Warehouse staff often carry clothing in one hand, making it hard to tap or scroll with the other.

01
Poor Interaction Design
Poor Interaction Design

Warehouse staff often carry clothing in one hand, making it hard to tap or scroll with the other.

01
Poor Interaction Design
Poor Interaction Design

Warehouse staff often carry clothing in one hand, making it hard to tap or scroll with the other.

01
Delays

Some actions required both hands. This slowed workers down because they had to stop their ongoing actions.

02
Delays

Some actions required both hands. This slowed workers down because they had to stop their ongoing actions.

02
Delays

Some actions required both hands. This slowed workers down because they had to stop their ongoing actions.

02
Delays

Some actions required both hands. This slowed workers down because they had to stop their ongoing actions.

02
Confusion

The iconography assumed users had tech knowledge. Warehouse workers struggled to guess what each symbol meant.

03
Confusion

The iconography assumed users had tech knowledge. Warehouse workers struggled to guess what each symbol meant.

03
Confusion

The iconography assumed users had tech knowledge. Warehouse workers struggled to guess what each symbol meant.

03
Confusion

The iconography assumed users had tech knowledge. Warehouse workers struggled to guess what each symbol meant.

03

UNDERSTAND THE USERS 🎲

Field Studies: To gain deeper insights, my manager and UX Team conducted an on-site visit to observe how employees interacted with our app in a real-world environment.

Talking To Warehouse Workers: During the visit, I closely observed employees as they navigated the app while performing their daily tasks. It became evident that many employees were, indeed, using the app with one hand while holding items in the other. Observing employees use the app with one hand while holding items confirmed the need for our project to minimize interactions and enhance usability for Single-Handed Mode ✋

INTERACTION DESIGN

Designing AI products goes beyond interface work—it requires understanding how data flows, how models behave, and how users trust machine-generated insights. I collaborated closely with engineers to align design with data pipelines and model capabilities, ensuring outputs were both reliable and explainable.

To build trust, I designed visualizations and summaries that balanced clarity with transparency, helping users interpret AI results with confidence. This project reinforced my belief that great AI design lies in simplifying complexity—turning raw data into decisions people can act on.

DESIGN SYSTEMS

To address the overwhelming volume of feedback, I led the design of an AI-powered tool that automates the end-to-end analysis process. Working cross-functionally with engineers and strategists, I mapped out the data pipeline, prioritized user pain points, and created a streamlined interface that enables teams to extract insights in real time.

The tool was built to adapt to different team workflows, helping them surface trends, monitor sentiment, and act quickly on what matters most.

DESIGN ITERATIONS

To address the

FINAL PRODUCTS 🖥️

Improved working experience of 900+ warehouse workers

Improved working experience of 900+ warehouse workers

The redesigned interface allows warehouse workers to use it with one hand, freeing their other hand to hold racks of clothes. This design significantly enhances ease of use and efficiency.

Doctor working
Doctor working
Doctor working
Doctor working
Doctor working
Doctor working
Doctor working
Doctor working

FINAL PRODUCTS 🖥️

Redesigned iconography design systems and guidelines

Redesigned iconography design systems and guidelines

The redesigned iconography guidelines and design system sparked the team's interest in transitioning Nuuly to Dark Mode.