Charles Riccardi

Eatsa In-Store

Eatsa In-Store Status Board

As a restaurant, eatsa had a unique opportunity to provide customers with a killer in-store experience - something that hadn't really been innovated on in the landscape. With that came a slew of in-store digital displays, and a bunch of new design challenges. One of the biggest was working on our in-store Status Board.

 

Team

1 Designer

1 PM

1 (third-party) Engineer

 

Timeline

2 Months for design

Goals

Customer

  • Clarity around when a customers order was ready, and where to pick it up
  • Easy operation of the cubbies

Business

  • Do not let experience be a bottle neck for allowing a large amount of orders to be processed

Constraints

  • Slow timeline when executing with engineer

  • Design was not able to do high fidelity prototypes without engineering

  • There would be store locations in the future with less displays used for the status board

 

 

Balance All The Things

 The status board had the ability to display marketing content as well as the customers name and order status. This presented many iA challenges that we worked through with user testing different designs.      

The status board had the ability to display marketing content as well as the customers name and order status. This presented many iA challenges that we worked through with user testing different designs.

 

 

 The Status Board not only needed the ability to scale the information that was displayed, but fit on different configurations of displays (based on smaller scale store layouts).      

The Status Board not only needed the ability to scale the information that was displayed, but fit on different configurations of displays (based on smaller scale store layouts).

 

 

 We built out the store at 100% scale so that we could test not only test user comprehension, but observe any implications on their physical movements inside the space      

We built out the store at 100% scale so that we could test not only test user comprehension, but observe any implications on their physical movements inside the space

 

 

I worked with tools that were familiar to me to help us better understand how things would work in the real world. The biggest question here was how would this work at scale (i.e. during a lunch lunch with hundreds of orders)?