Foodie Ohun Elo Iṣeduro Ile Ounjẹ by Tianyi Qi

Foodie Ohun Elo Iṣeduro Ile Ounjẹ by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Àmì-ẹ̀yẹ Idẹ A' Design Award in Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Alágbèéká, Ohun-èlò Fóònù àti Sọ́fítíwéà Competition Category.

IdẹAlágbèéká· 2022

Foodie Ohun Elo Iṣeduro Ile Ounjẹ

by Tianyi Qi

Client: Tianyi Qi

Àmì-ẹ̀yẹ Idẹ A' Design Award Winner in Alágbèéká Category

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The Design

About Foodie Ohun Elo Iṣeduro Ile Ounjẹ

Foodie jẹ ohun elo alagbeka ti a ṣe apẹrẹ láti ràn àwọn ènìyàn lọ́wọ́ láti rí àwọn ilé ounjẹ nípasẹ̀ àwọn iṣeduro láti ọ̀dọ̀ àwọn ọ̀rẹ́. Pípín àwọn ìfẹ́ ounjẹ máa ń ṣẹlẹ̀ ní ọ̀nà ìjíròrò lásán, àti Foodie ń kó ìpàṣípààrọ̀ yìí wá sórí pẹpẹ dijitali fún lílò ní èyíkéyìí àkókò àti ní èyíkéyìí ibi. Ojú-ìwé Àwọn Ọ̀rẹ́ ń fi àwọn ìsọdọ̀tun àti àwọn àkójọ tí àwọn ọ̀rẹ́ ṣẹ̀dá hàn. Ojú-ìwé Àwọn Àkójọ Mi ń jẹ́ kí àwọn olùlò máa ṣàkóso àwọn ilé ounjẹ tí wọ́n ti fi pamọ́ àti láti ṣàyẹ̀wò wọn nípa irú wọn. Ojú-ìwé Máàpù ń ṣètìlẹ́yìn fún wíwá àwọn ilé ounjẹ tí ó wà nítòsí tàbí yíká ibi tí a yàn. A kọ́ Foodie fún àwọn ẹ̀rọ iOS.

The Recognition

About the Àmì-ẹ̀yẹ Idẹ A' Design Award

Foodie Ohun Elo Iṣeduro Ile Ounjẹ jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Foodie Ohun Elo Iṣeduro Ile Ounjẹ yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Foodie Ohun Elo Iṣeduro Ile Ounjẹ ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

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