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Foodie Aplikace pro doporučování restaurací by Tianyi Qi

Foodie Aplikace pro doporučování restaurací by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Bronzová cena A' Design Award in Mobilní Competition Category.


BronzMobilní· 2022

Foodie Aplikace pro doporučování restaurací

by Tianyi Qi

Client: Tianyi Qi

Bronzová cena A' Design Award Winner in Mobilní Category

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The Design

About Foodie Aplikace pro doporučování restaurací

Foodie je mobilní aplikace navržená k tomu, aby lidem pomáhala hledat restaurace na základě doporučení od přátel. Sdílení chuťových preferencí obvykle probíhá v rámci osobních rozhovorů a Foodie přesouvá tuto výměnu informací na digitální platformu, kterou lze využít kdykoli a kdekoli. Obrazovka Přátelé zobrazuje aktualizace a seznamy vytvořené přáteli. Obrazovka Moje seznamy umožňuje uživatelům spravovat uložené restaurace a filtrovat je podle typu. Obrazovka Mapa podporuje vyhledávání restaurací v okolí nebo kolem zvoleného místa. Foodie je vytvořena pro zařízení se systémem iOS.

The Recognition

About the Bronzová cena A' Design Award

Foodie Aplikace pro doporučování restaurací je vítězem Bronzové ceny A' Design Award, vysoce prestižního uznání udělovaného vynikajícím designům, které se vyznačují kreativitou, vynalézavostí a bystrostí. Bronzoví vítězové jsou hojně zručné a nápadně kreativní artefakty, které dosvědčují rozsáhlé zkušenosti, představivost a vynalézavost svých designérů. Očekává se, že Foodie Aplikace pro doporučování restaurací bude vysoce ceněným, obdivovaným a milovaným předmětem, pozoruhodně profesionálním a inovativním. Tento design, který získal Bronzovou cenu A' Design Award, zahrnuje osvědčené postupy v umění, vědě, designu a technologiích a vyniká pozorností k detailu. Foodie Aplikace pro doporučování restaurací nádherně uspokojuje potřeby, dotýká se tužeb, okouzluje city a oslovuje zvědavost.

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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