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Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri by Tianyi Qi

Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Ihe Nrite A' Design Award nke Bronz in Nhazi Teknụzụ Mkpanaka, Ngwa na Sọftụwia Competition Category.


BronzMkpanaka· 2022

Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri

by Tianyi Qi

Client: Tianyi Qi

Ihe Nrite A' Design Award nke Bronz Winner in Mkpanaka Category

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The Design

About Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri

Ederede Akwụkwọ: Foodie bụ ngwa mobaịl e mere iji nyere ndị mmadụ aka ịchọta ụlọ oriri site na ndụmọdụ ndị enyi ha na-enye. Ikekọrịta mmasị nri na-abụkarị ihe na-eme na mkparịta ụka anaghị eji ịntanetị eme, ma Foodie na-ebufe mgbanwe ọzọ ahụ gaa n'elu ikpo okwu dijitalụ maka iji ya oge ọ bụla na ebe ọ bụla. Ihuenyo Ndị Enyi na-egosi mmelite na ndepụta ndị enyi kere. Ihuenyo Ndepụta M na-enye ndị ọrụ ohere ijikwa ụlọ oriri echekwara yana ịhọrọ ha dịka ụdị ha si dị. Ihuenyo Map na-akwado ịchọ ụlọ oriri dị nso maọbụ gburugburu ebe a họpụtara. E wuru Foodie maka ngwaọrụ iOS.

The Recognition

About the Ihe Nrite A' Design Award nke Bronz

Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri meriri A' Design Award nke Bronz, nnabata dị oke ugwu e nyere design ndị pụtara ìhè nke a ma ama maka nzụlite ihe, ọgụgụ isi na nghọta. Ndị meriri na Bronz bụ ihe e mere nke ndị nwere nka nke ukwuu ma dị mma n'imepụta nke na-egosi ahụmahụ buru ibu, echiche na ọgụgụ isi nke ndị designer ha. A na-atụ anya na Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri ga-abụ ihe a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya, nke dị oke ọrụ ma dị ọhụrụ. Design a meriri A' Design Award nke Bronz na-agụnye ụzọ kacha mma n'ime nka, sayensị, design na teknụzụ, ma dị mma nke ukwuu maka nlebara anya ya n'obere ihe. Foodie Ọrụ Bụ Isi: Ngwa Ntụle Ụlọ Oriri na-emezu mkpa nke ọma, na-emetụ ọchịchọ aka, na-adọrọ mmetụta obi ma na-adọta ọchịchọ ịmara.

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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