Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 A' Design Award Tambaga in Desain Teknologi Mobile, Aplikasi, dan Perangkat Lunak Competition Category.
TambagaMobile· 2022
Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran
by Tianyi Qi
Client: Tianyi Qi
A' Design Award Tambaga Winner in Mobile Category
Verified Award Winner
Verify Award Status for #136763The Design
About Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran
Teks Buku: Foodie iyanaritu aplikasi mobile iya dirancangngé untuk tulung tauwé sappa restoran naolai rekomendasi polé ri sellao. Assibawang ri passikola nanré biasana kajajiang ri pembicaraan offline, na Foodie napalétté assibawangngé iyaro lao ri platform digital untuk ripakéi ri wettu aga-aga sibawa ri onrong aga-aga. Layana Sellao mappaitangngi update sibawa daftara iya napancajiangngé sellao-sellao. Layana Daftara Iyya mappasitujuangngi paggunaé untuk manajing restoran iya ritaroé sibawa massaring situru jenisna. Layana Peta mabbantu passappangngé restoran iya macawéé natau iya ripiléé. Foodie ripancaji untuk pakkasiwiang iOS.
The Recognition
About the A' Design Award Tambaga
Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran iyanaritu pakoro A' Design Award Tambaga, pakalebbi iya malompo tongeng iya ripabbere ri desain luar biasa iya riissengngi nasaba kreativitas, kecerdikan sibawa ketajaman. Pakoro Tambaga iyanaritu artefak iya terampil sibawa mappabbura kreatif iya mappabbentuk pengalaman iya maega, imajinasi sibawa kecerdikan tau mabbuat. Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran ripakkirangngi mancaji objek iya ripakalebbi, ripuji sibawa rirennu, profesional sibawa inovatif. Desain pakoro A' Design Award Tambaga iyae mappasilaong praktik tepat ri seni, sains, desain sibawa teknologi sibawa makessing nasaba perhatiannna ri detail. Foodie Fungsi Utama: Aplikasi Rekomendasi Restoran mappabbura kebutuhan makessing, mappakkela keinginan, mappabbentuk perasaan sibawa mappabbura rasa penasaran.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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.
- Dimensions & Packaging
- The app is designed for iOS systems.
- 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.
- 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?
- 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.
- Image Credits
- Image #1-5: Tianyi Qi
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