The purpose of this project was initially posed with the theme of 'on-the-go'. After much deliberation with my team, we chose to pursue users with food allergies who are out and about while traveling and looking for places to eat that are catered to their adaptability to dietary restrictions.
Using user-based testing, we wanted to first interview our peers who are within our age range of millennials as well as possess some sort of allergy to food. Our interviewing processes involved surveys, questionnaires, and even taking our participants out to eat at restaurants in order to observe how they navigate the process of eating out with specific dietary restrictions. After obtaining this information and conducting affinity mapping, we narrowed down topics.
What we discovered is that when eating out, people are conscious about what they eat and they would like a quick way to observe the food they are about to consume without being a hindrance to others in their dining party.
As a team, we determined that our objectives were to create a mobile app, since it did not require any use of extra technology. This app would then be designed to empower people with food allergies and encourage them to try new restaurants that they normally would not.
Here are some of the technologies that we came up with as a team that I sketched using various technologies to suggest recommendations to users.
SOLUTION and TASKS
The Would Recommend app was designed to be a community-enforced app for people with dietary restrictions to try new restaurants with confidence. As such, we created our design based on several key tasks.
PROTOTYPE v. 1
With each of those five tasks in mind, I created the original design of Would Recommend.
PROTOTYPE v. 2
Revised version after taking user feedback for a more simplified interface that was also less red-intensive.