TheGo
A mobile food-ordering experience built for food trucks and pop-up vendors where long lines and limited menus slow everything down.
UX
UI
Product Design
AI
Project Overview
Client: Google UX Course Case Study
Project Type: Product Design, UX/UI
Tools: Figma, ChatGPT, Claude, Adobe Photoshop, Illustrator,
My Role: Product Designer
Goals |
|---|
Design a pre-order functionality |
Allow real-time location and inventory tracking |
Streamline event discovery |
Wirerames |
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No direct competitors to benchmark |
Small interview pool (5 participants) |
Streamline food event discovery |
Long lines and big crowds can prevent customers from ordering food. "My wife has had a lot of knee issues lately. We can't bother going to events where we know that we would have to stand for long periods of time." |
Unlike brick-and-mortar locations, food vendors often run out of their ingredients within a day. Customers often get frustrated and head back home discouraged. "There were a couple of times I tried visiting a food truck, and the item I had wanted had already sold out. I just went back home, saying I would visit again, but never did." |
Customers expressed that they often didn't know of local food vendor locations or events. "I found out on Tiktok that there's a weekend Thai food market around here. I've been here for 5 years and never knew." |
High-Fidelity Prototype
After iterating on the low-fidelity prototype and incorporating some of my feedback, I was able to develop a High-Fidelity Prototype. As I refined the designs, users were able to connect with the process more. They realized there were still some things about the checkout process and discover page that were disrupting the user flow.
Some pain points were:
Allergy section lacked clarity
Pickup time bar was confusing
Users wanted sticky “Add to Cart” and “Checkout” buttons
Discover page lacked sorting/filtering options
Entry fees and price ranges were missing from event descriptions
SOLUTION
A Solution For Businesses And Customers
Based on user feedback, I refined my designs to create a more intuitive and informative experience. While I considered all input, some suggestions were adapted to real-world constraints. For instance, instead of displaying entry fees (which vary and require external purchases), I linked out to external event pages. In the end there were quite a few features that I had improved upon through iteration and included in the final designs.
Some final features to note:
Live GPS food truck tracker
Potential allergy alerts built into ordering cards
Color-coded stock indicators (e.g., “Low Stock”, “Out of Stock”)
5 screens to show the order checkout process
GPS Live tracking feature, and the Allergy alert feature in the food card
