Foodie
Restaurant Recommendation Service for Tianyi Qi
Foodie is a mobile app that aims to leverage the action of sharing personal preferences with one's social circle, which happens mostly in offline settings, to a digital platform. This transformation allows this information-sharing process to expand beyond limited scenarios so users can create content and access information whenever and wherever they need it. With Foodie, users can easily explore restaurants liked by their friends anytime, anywhere.
Download Press Kit № 136763
Download Press Kit № 136763 Restaurant Recommendation Service for Tianyi Qi by Tianyi Qi to access high-res images, essential texts, translations, and exclusive interviews—all in one.
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Foodie by Tianyi Qi
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Restaurant Recommendation Service by Tianyi Qi
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Tianyi Qi Foodie
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Tianyi Qi Restaurant Recommendation Service
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Tianyi QiBrand Logo
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Tianyi Qi Interview
Available for Journalists: An in-depth interview with Tianyi Qi, around 1353 words, ready for complimentary use in your articles. Download it today. Access Tianyi Qi Interview Now.
Foodie Restaurant Recommendation Service Press Releases
Our Foodie press releases are ready in languages: English, for your convenience.
Foodie Restaurant Recommendation Service Media Articles
Leverage our ready-to-publish articles on Foodie, offered in a range of languages: Portuguese, Spanish, Dutch, English, Chinese (Mandarin), Hindi, Turkish, Arabic (Standard), Italian, German, French, Korean, Indonesian, Japanese and Russian.
Unique Properties
Foodie is a mobile app that aims to leverage the action of sharing personal preference with one's social circle, which happens mostly in offline settings, to a digital platform. This transformation allows this information-sharing process to expand beyond limited scenarios so users can create content and access information whenever and wherever they need it.
Tags
Social, Restaurant, Food, Application, Recommendation
Production Technology
The app requires a strong search engine, map and navigation service, and restaurant database to be functional.
Design Challenge
Why do users use this service when there are already other popular information sources/services existing around? Which was the major challenge I was facing at the beginning stage of the project. The research was designed and planned to answer this question.
Project Duration
The project started in August 2019 and finished in January 2020, in New York City.
Operation Flow
On the "Friends" screen, a user will see new updates from their friends, for example, a friend added a new restaurant to their list. They can also explore all the lists created by their friends. To manage restaurants on their own lists, a user can easily navigate to the "My Lists" screen. They can use the filters to easily find the specific types of restaurants on their lists. On the "Map" screen, a user can search for restaurants nearby or around a certain location.
Research
I interviewed 10 participants between 20–40, all of them are Yelp or Google users. Participants were asked to arrange the cards with information sources to show how frequently they use and how much they trust each of them. The 3 major research questions are: 1. How and when do people use each information source to find restaurants? 2. What do people trust about each information source? 3. How do people recommend restaurants to their social circle? The results showed that social circle is the most trusted and the 2nd most used information source when participants are looking for restaurant recommendations. This insight validated the foundation of the project: even though modern technologies have played an important role in helping people find restaurants, people still get recommendations from their friends. From the research, I also learned the requirements participants have on a restaurant's recommendation service and the data gathered from the research was used in persona creation.
Inspiration
As a foodie living in New York City, I have been enjoying using apps like Yelp and Google to find restaurants, especially those that provide ethnic food that I have never tried before. However, I noticed that even though those apps are backed with big data, I trust my friends more in terms of finding restaurants. This experience makes me curious about this totally different mechanism of trust: How might we help people find restaurants from their friends' recommendations?
Image Credits
Image #1-5: Tianyi Qi
Project Overview
Foodie Restaurant Recommendation Service has been a Bronze winner in the Mobile Technologies, Applications and Software Design award category in the year 2021 organized by the prestigious A' Design Award & Competition. The Bronze A' Design Award is given to outstanding designs that showcase a high degree of creativity and practicality. It recognizes the dedication and skill of designers who produce work that stands out for its thoughtful development and innovative use of materials and technology. These designs are acknowledged for their professional execution and potential to influence industry standards positively. Winning this award highlights the designer's ability to blend form and function effectively, offering solutions that enhance people's lives and wellbeing.
Bronze Recognition
Tianyi Qi was recognized with the coveted Bronze A' Design Award in 2022, a testament to excellence of their work Foodie Restaurant Recommendation Service.
Tianyi Qi Press Releases
Access a rich repository of press releases on Tianyi Qi, offered to press and media professionals for unrestricted use in their stories. Now available: Immediate access to 2 press releases for journalists.
Introducing Foodie: The Ultimate Restaurant Recommendation Service
Discover a new way to find the perfect restaurant with Foodie, a mobile app designed by Tianyi Qi that leverages the power of social recommendations to help users explore the best dining experiences. Available for iOS, Foodie transforms the way people discover and share their favorite restaurants, bridging the gap between offline social interactions and digital convenience.
Tianyi Qi Newsroom
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