Foodie Aplikasyon ng Rekomendasyon ng Restawran by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 A' Design Award na Bronse in Disenyo ng Teknolohiyang Mobile, Aplikasyon at Software Competition Category.
BronseMobile· 2022
Foodie Aplikasyon ng Rekomendasyon ng Restawran
by Tianyi Qi
Client: Tianyi Qi
A' Design Award na Bronse Winner in Mobile Category
Verified Award Winner
Verify Award Status for #136763The Design
About Foodie Aplikasyon ng Rekomendasyon ng Restawran
Ang Foodie ay isang mobile application na idinisenyo upang tulungan ang mga tao na makahanap ng mga restawran sa pamamagitan ng mga rekomendasyon mula sa mga kaibigan. Karaniwang nangyayari ang pagbabahagi ng mga kagustuhan sa pagkain sa mga offline na usapan, at inililipat ng Foodie ang palitang ito sa isang digital na plataporma para magamit anumang oras at saanman. Ipinapakita ng Friends screen ang mga update at listahan na ginawa ng mga kaibigan. Ang My Lists screen ay nagbibigay-daan sa mga user na pamahalaan ang mga naka-save na restawran at i-filter ang mga ito ayon sa uri. Sinusuportahan ng Map screen ang paghahanap ng mga restawran sa malapit na lugar o sa paligid ng isang piniling lokasyon. Ang Foodie ay binuo para sa mga iOS device.
The Recognition
About the A' Design Award na Bronse
Ang Foodie Aplikasyon ng Rekomendasyon ng Restawran ay nagwagi ng A' Design Award na Bronse, isang lubhang prestihiyosong pagkilalang iginagawad sa mga natatanging disenyong nakikilala sa pagkamalikhain, katalinuhan at talas ng isip. Ang mga nagwagi ng Bronse ay mga likhang lubhang mahusay at kapansin-pansing malikhain na nagpapatunay sa malawak na karanasan, imahinasyon at pagkamaparaan ng kanilang mga tagapagdisenyo. Inaasahang ang Foodie Aplikasyon ng Rekomendasyon ng Restawran ay isang lubos na pinahahalagahan, hinahangaan at minamahal na bagay na kapansin-pansing propesyonal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bronse ay nagsasama ng pinakamahuhusay na kasanayan sa sining, agham, disenyo at teknolohiya, at mahusay dahil sa pansin nito sa detalye. Ang Foodie Aplikasyon ng Rekomendasyon ng Restawran ay kahanga-hangang tumutugon sa mga pangangailangan, humahaplos sa mga hangarin, bumibighani sa damdamin at umaakit sa pag-uusisa.
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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