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THE APPROACH
THE SOLUTION
Prototype
Secondary Research
Insights
UX RESEARCH
UX DESIGN
UX DESIGN
PROTOTYPING
SERVICE DESIGN
SERVICE DESIGN
Team project.
THE CHALLENGE
How can we help customers find restaurants and cafes in a convenient and seamless experience?
Not every person digest every product very well. Health is always a priority for humans. The food that we consume is a key resource when it comes to our health. Additionally, as the eating habits become more diverse and the taste of modern people become more demanding, the demand for more specific and customized food applications is expected to increase. Focusing on these modern eating habits and concerns, we wanted to understand how can we help customers find restaurants and cafes in a convenient and seamless experience.
We started off with the secondary research. In order to propose the solution, we needed to learn more about already existing food applications.
We needed to prototype the app with the users to learn more about their perspective of the app. They likes that we have a fixed rating and they also like the idea of personalised recommendations based on our users information such as their allergies and taste. Some thought the app is clear and interactive.
"The app's fixed rating is helpful since it can be hard to trust some reviews."
"I think the app looks clear which I think is essential."
"I like the idea that we can get recommendations based on our allergies. It would be awesome if it could connect to restaurant's menu and we can see what we can't eat."
"Sometimes the rating information is misleading and it is good to have a fixes rating."
"The app's fixed rating is helpful since it can be hard to trust some reviews."
"I think the app looks clear which I think is essential."
"I like the idea that we can get recommendations based on our allergies. It would be awesome if it could connect to restaurant's menu and we can see what we can't eat."
"Sometimes the rating information is misleading and it is good to have a fixes rating."
Foodify was created in the exploration of the Internet of Things. We designed a customized food application or service business model that takes into account personal preferences as well as health care. In the case of food application currently distributed on the market, only the price, the menu, and the location are considered, but the specific taste of the consumer or the state of the liver is not considered.
Ultimately, we are going to provide customized restaurant search engine with smart recommendation system & proven rating system. It’s all about our FOODIFY.
The business we want to build is a customized restaurant search business. We looked at the existing top 10 restaurant recommendation apps, and we tried to position them according to the characteristics we are going to pursue. Our goal is to provide users with more accurate and objective evaluations and reviews to suggest personalized restaurants than existing services. Among them, Zagat and Yelp are the closest services to our business. Although, Zagat is a credible organization, it is very limited in the information that the public can obtain because it is operated based on the membership service. While Yelp is well known as a restaurant recommendation service, in fact, it is a local business recommendation service running by actual users. Therefore, it is less reliable than Zagat because it depends on user reviews, rather than experts. With AI, we want to launch a more transparent and credible business than these two companies, beyond simple restaurant recommendations or evaluations system.
