DeviceFrames.com
Starbucks Device Assistant
Overview
Our team set out to create a digital application that would serve as a tool to help employees learn what different devices can do and how to fix or clean devices when they become inoperable. Corporate education has left some gaps in what users need to know, but because that issue is broad our group broke it down further. In mandated training, users often are bored by the repetition of similarly taught subjects, yet those subjects become very important to the job as they move into the workspace.
Project Date: December 2022
Project Timeline: 3 Months
Programs Used
Figma
Tableau
Miro
Adobe Photoshop
The fast paced environment requires ease of use as well as significant utility.
Problem
Users are bored by the repetition of similarly taught subjects, yet those subjects become very important to the job as they move into the workspace.
Audience: Entry level workers ages 18-29
Our team listed out as many pain points and light spots as we could find in the onboarding process. From here we looked at where we could intervene.
"What are the problems with online corporate training, and how can we step in?"
Research
We created journey maps of our users' processes as well as affinity maps and personas in order to begin building an effective solution. My team then decided to focus on the lack of engagement found within training processes in order to build a better and more prepared employee.
Solution
Our team went through 5 stages of prototyping before landing on our final app design. The solution is an app that can scan any device in a Starbucks kiosk and grant that user quick and ready-to-read information. The app was made entirely in Figma and uses a wide array of components and animations in order to represent what an end product would look like.
