Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente by Tianyi Qi

Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Moputso oa Boronse oa A' Design Award in Moralo wa Theknoloji ya Mehala, Diaplikeishene le Softwere Competition Category.

BoronseMohala· 2022

Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente

by Tianyi Qi

Client: Tianyi Qi

Moputso oa Boronse oa A' Design Award Winner in Mohala Category

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The Design

About Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente

Mongolo oa Buka: Foodie ke tirisano ea mohala e etselitsoeng ho thusa batho ho fumana lireschorente ka likhothaletso tse tsoang ho metsoalle. Ho arolelana lithahasello tsa lijo hangata ho etsahala liputsong tsa ka thoko ho inthanete, mme Foodie e fetisetsa phapanyetsano ena sethaleng sa dijithale bakeng sa ts'ebeliso nako efe kapa efe le sebakeng sefe kapa sefe. Skrine ea Metsoalle e bontša liphetoho le lenane tse entsoeng ke metsoalle. Skrine ea My Lists e lumella basebelisi ho laola lireschorente tse bolokiloeng le ho li hlopha ka mofuta. Skrine ea 'Mapa e tšehetsa ho batlisisa lireschorente tse haufi kapa tse potapotileng sebaka se khethiloeng. Foodie e hahiloe bakeng sa lisebelisoa tsa iOS.

The Recognition

About the Moputso oa Boronse oa A' Design Award

Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. Foodie Mosebetsi oa Mantlha: Tirisong ea Likhothaletso tsa Lireschorente e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.

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