Foodie レストラン推薦アプリケーション by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 A' Design Award 銅賞 in モバイル技術・アプリケーション・ソフトウェアデザイン Competition Category.

銅モバイル· 2022

Foodie レストラン推薦アプリケーション

by Tianyi Qi

Client: Tianyi Qi

A' Design Award 銅賞 Winner in モバイル Category

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The Design

About Foodie レストラン推薦アプリケーション

Foodieは、友人からのおすすめを通じてレストランを見つけることができるモバイルアプリケーションです。食の好みの共有は通常オフラインの会話で行われますが、Foodieはそのやり取りをデジタルプラットフォーム上へと移し、いつでもどこでも利用できるようにしました。「Friends」画面では、友人による更新情報や作成したリストを閲覧できます。「My Lists」画面では、保存したレストランを管理し、種類ごとに絞り込むことができます。「Map」画面では、近くのレストランや任意の場所周辺のレストランを検索できます。FoodieはiOSデバイス向けに開発されています。

The Recognition

About the A' Design Award 銅賞

Foodie レストラン推薦アプリケーションは、創造性、独創性、鋭い洞察力で際立つ傑出したデザインに授与される、高い権威をもつ評価である A' Design Award 銅賞の受賞作品です。銅賞の受賞作品は、十分に巧みで印象的なほど創造的な工芸品であり、デザイナーの豊富な経験、想像力、機知を裏づけています。Foodie レストラン推薦アプリケーションは、高く評価され、称賛され、愛される品であり、顕著にプロフェッショナルで革新的であることが期待されます。この A' Design Award 銅賞を受賞したデザインは、芸術・科学・デザイン・技術のベストプラクティスを取り入れており、細部への配慮に優れています。Foodie レストラン推薦アプリケーションは、ニーズを見事に満たし、欲求に触れ、感情を魅了し、好奇心を引きつけます。

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