Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci by Tianyi Qi

Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Kyautar A' Design Award ta Tagulla in Wayar Hannu Competition Category.

TagullaWayar Hannu· 2022

Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci

by Tianyi Qi

Client: Tianyi Qi

Kyautar A' Design Award ta Tagulla Winner in Wayar Hannu Category

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Colors

The Design

About Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci

Rubutun Littafi: Foodie manhaja ce ta wayar hannu wadda aka tsara don taimaka wa mutane su sami gidajen cin abinci ta hanyar shawarwari daga abokai. Yin musayar zabin abinci galibi yakan faru ne a tattaunawar fuska da fuska, kuma Foodie ta kawo wannan musayar zuwa dandalin dijital domin amfani a kowane lokaci da kowane wuri. Sashin Abokai yana nuna sabuntawa da jerin sunayen da abokai suka kirkira. Sashin Jerin Nawa yana ba masu amfani damar sarrafa gidajen cin abincin da aka adana da kuma tantance su bisa nau'i. Sashin Taswira yana taimakawa wajen neman gidajen cin abinci na kusa ko kewayen wani wurin da aka zaba. An gina Foodie don na'urorin iOS.

The Recognition

About the Kyautar A' Design Award ta Tagulla

Zanen Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci ya lashe Kyautar A' Design Award ta Tagulla, wata karramawa mai tsananin daraja da ake bai wa zane-zane na musamman waɗanda ke da ƙirƙira, basira da hikima. Waɗanda suka lashe kyautar Tagulla kayayyakin fasaha ne masu ƙwarewa da ƙirƙira mai ban mamaki waɗanda ke tabbatar da babban gogewa, tunani da dabarun masu zanensu. Ana sa ran zanen Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci ya zama abu da ake girmamawa sosai, ake sha'awa da ƙauna, mai ƙwarewa da ƙirƙire-ƙirƙire. Wannan zane da ya lashe Kyautar A' Design Award ta Tagulla yana haɗa mafi kyawun ayyuka a fasaha, kimiyya, zane da fasahar zamani, kuma yana da kyau saboda kulawarsa ga cikakkun bayanai. Zanen Foodie Aikin Farko: Manhajar Ba da Shawarar Gidajen Cin Abinci yana biyan buƙatu da kyau, yana taɓa sha'awa, yana jan hankalin zukata kuma yana jawo sha'awar sani.

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