Foodie اپلیکیشن پیشنهاد رستوران by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 جایزه برنزی A' Design Award in طراحی فناوری‌های موبایل، اپلیکیشن‌ها و نرم‌افزار Competition Category.
برنزموبایل· 2022
Foodie اپلیکیشن پیشنهاد رستوران
by Tianyi Qi
Client: Tianyi Qi
جایزه برنزی A' Design Award Winner in موبایل Category
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The Design
About Foodie اپلیکیشن پیشنهاد رستوران
فودی یک اپلیکیشن موبایل است که برای کمک به افراد در یافتن رستوران‌ها از طریق پیشنهادهای دوستان طراحی شده است. اشتراک‌گذاری سلیقه‌های غذایی معمولاً در گفتگوهای حضوری اتفاق می‌افتد، و فودی این تبادل را به یک بستر دیجیتال منتقل می‌کند تا در هر زمان و مکانی قابل استفاده باشد. صفحه دوستان، به‌روزرسانی‌ها و فهرست‌های ایجادشده توسط دوستان را نمایش می‌دهد. صفحه فهرست‌های من به کاربران امکان می‌دهد رستوران‌های ذخیره‌شده را مدیریت کرده و آن‌ها را بر اساس نوع فیلتر کنند. صفحه نقشه از جستجوی رستوران‌ها در نزدیکی یا اطراف یک مکان انتخاب‌شده پشتیبانی می‌کند. فودی برای دستگاه‌های iOS ساخته شده است.
The Recognition
About the جایزه برنزی A' Design Award
Foodie اپلیکیشن پیشنهاد رستوران برنده جایزه برنزی A' Design Award است، شناختی بسیار معتبر که به طراحی‌های برجسته‌ای اعطا می‌شود که با خلاقیت، نبوغ و زیرکی متمایز می‌شوند. برندگان برنز مصنوعاتی بسیار ماهرانه و چشمگیر خلاق‌اند که تجربه گسترده، تخیل و ابتکار طراحان خود را تأیید می‌کنند. از Foodie اپلیکیشن پیشنهاد رستوران انتظار می‌رود شیئی بسیار ارجمند، ستوده و دوست‌داشتنی باشد که به‌طور چشمگیری حرفه‌ای و نوآورانه است. این طراحی برنده جایزه برنزی A' Design Award بهترین رویه‌ها را در هنر، علم، طراحی و فناوری در خود جمع می‌کند و به سبب توجه به جزئیات برجسته است. Foodie اپلیکیشن پیشنهاد رستوران نیازها را زیبا برآورده می‌کند، به خواسته‌ها دست می‌زند، احساسات را مجذوب می‌سازد و کنجکاوی را برمی‌انگیزد.
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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