Foodie ریستورانتی سفارش ایپ by Tianyi Qi

Foodie ریستورانتی سفارش ایپ by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 A' Design Award برنجی انعام in موبائل ٹیکنالوجیز، ایپلیکیشنز ءِ سافٹ ویئر ڈیزائن Competition Category.

برنجموبائل· 2022

Foodie ریستورانتی سفارش ایپ

by Tianyi Qi

Client: Tianyi Qi

A' Design Award برنجی انعام Winner in موبائل Category

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The Design

About Foodie ریستورانتی سفارش ایپ

فوڈی یک موبائل ایپلیکیشن انت کہ دوستانی سفارشانی وسیلہ ءَ مردمانی رستورانت لبزگ ءِ پدا مدد بہ کنت۔ خوراک ءِ پسندءَ گوں یکدیگر ءَ شریک کنگ عموماً آف لائن گپ و گوٹی ءَ دگہ اِنت، بلے فوڈی ای تبادلہ ءَ یک ڈیجیٹل پلیٹ فارم ءَ ور دنت کہ ہر وہد ءَ و ہر جاہ ءَ استفادہ بوت۔ فرینڈز اسکرین دوستانی درست کدہ اپ ڈیٹ و لسٹانی ءَ نمائش دنت۔ مائی لسٹس اسکرین کاربرانی ءَ اجازہ دنت کہ سیو کدہ رستورانتانی مینجمنٹ بہ کننت و نوع ءِ بنیاد ءَ آیانی فلٹر بہ کننت۔ میپ اسکرین نزیکین رستورانتانی یا یک منتخب کدہ جاہ ءِ آسیر ءِ رستورانتانی جستجو ءِ حمایت کنت۔ فوڈی iOS ڈیوائسانی برایں ساختہ بوتگ انت۔

The Recognition

About the A' Design Award برنجی انعام

Foodie ریستورانتی سفارش ایپ A' Design Award برنجی انعام ءِ ورگ آ انت، باز معزز اعتراف کہ تخلیقی صلاحیت، اختراع ءُ ذہانت گوں ممتاز بہترین ڈیزائناں دیگ بیت۔ برنج ءِ ورگ آ بھرپور مہارت ءِ ءُ نمایاں ڈولا تخلیقی شاہکار انت، کہ وتی ڈیزائنراں ءِ وسیع تجربہ، تخیل ءُ ہوشیاری ءِ تصدیق کننت۔ Foodie ریستورانتی سفارش ایپ چہ امید کنگ بیت کہ آ یک باز قدر کنگ بوتگیں، ساراہگ بوتگیں ءُ پیارکنگ بوتگیں چیز بیت، قابل ذکر حد ءَ پیشہ ورانہ ءُ جدت ءِ۔ ای ڈیزائن کہ A' Design Award برنجی انعام ءَ برتگ، فن، سائنس، ڈیزائن ءُ ٹیکنالوجی ءِ بہترین طریقہ شامل کنت ءُ ہورد تفصیلاں ءَ توجہ دیگ ءِ سببا شاندار انت۔ Foodie ریستورانتی سفارش ایپ ضرورتاں جوانیں ڈولا پورا کنت، خواہشاں ءَ ہنچیت، جذباں ءَ موہنت ءُ تجسس کشنت۔

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