Restaurant Application





Sapa Investment Group
Sapa Investment Group own many different kinds of restaurants, each with individual POS and ordering systems. Goals outlined from the C-Level stakeholders were to improve the online and in restaurant process, reduce the interaction with servers during the Covid-19 pandemic, and provide cultural information to the customer on how their food is prepared and where it originated from. With these needs in mind, I designed an introductory application for customers to order in restaurant, or online
Designed using
Adobe XD, Adobe Photoshop, Illustrator and After Effects
Problem Statement
Frequent customers are unable to order items online through the individual restaurant websites, or utilize services such as GrubHub or Door Dash. One the Covid-19 pandemic hit, the restaurants saw a significant decrease in revenue due to these issues. Creating a proprietary ordering system to streamline the processes became key to serving the community and keeping their staff employed.
Step 1: Research

Findings
7 out of 8 customers surveyed wanted an easy way to order items online
2 out of 3 employees surveyed stated that placing customers orders online was time consuming and difficult to manage
6 out of 8 customers surveyed would rather order from a QR Code to expedite ordering while in the restaurant
4 out of 4 restaurant managers surveyed reported reduction in staffing, and the need for a more streamlined ordering process
Step 2: Define


Findings
Created a User Persona and mapped out the customers online and in restaurant ordering process.
This process helped identify key features that will be necessary for the initial MVP.
This journey identified that the most in need feature was in-restaurant ordering.
Step 3: Ideate

Findings
Brainstormed Ideas to determine what key features were necessary to answer the problem statement.
The most Desirable, Feasible and Viable feature during the brainstorming session was:
"Ordering items should be easy for both in restaurant dining as well as online"
The user flow below were determine based off the chosen features.

Application Flow Chart
To get an even more in-depth look into the structure of the watch application, I put together simple flow chart of the the page transitions and user interactions of the application.
Online Ordering Flow
Customers need a quick an easy way to initiate their order while in the restaurant prior to servers coming to their table.
Make Selection
Select In Restaurant or Online
View Menu
View Menu Option
Add Item
Add Item to your table or to-go
Account Created
Create Account
Complete Order
Complete and track order
High Fidelity Mockups
User Flow: Customer Ordering Items for Pickup
Customer uses app to decide which Sapa Restaurant they would like to visit, and places order to be picked up.




Dr. Scans Code with Tablet
Watch Syncs with Patient
Watch Starts Sync with Devices
Left Front Device Synced




Right Front Device Synced
Left Ear Device Synced
Right Ear Device Synced
All Devices Connected
Customer select option

Selection of Restaurant

View Top Menu Picks

On Hove of Item

Item Added to Cart

Updated View

More Info Clicked

View of Items in Cart

User Flow: Customer Ordering Items for Pickup
Customer registers a new account after placing order.
Forgot password email and confirmation code created.
Log In or Register

Registration

Add Payment Info

Receipt of Item

Forgot Password

Submit Email

Email Sent Alert

Confirm Code


Problem
Statement
Solution
Frequent customers are unable to order items online through the individual restaurant websites, or utilize services such as GrubHub or Door Dash. One the Covid-19 pandemic hit, the restaurants saw a significant decrease in revenue due to these issues. Creating a proprietary ordering system to streamline the processes became key to serving the community and keeping their staff employed.
The initial iteration of the Restaurant application serves to allow customers to order items via the table, or online. This solves the problem of lack of staff as well as inefficient take-out ordering. Further iterations will include VR of food items, and a backend application for the kitchen.
