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A food discovery app, designed to encourage exploration of new culinary experiences through challenges & rewards.

Team:
5 Group Members:
- 2 Mobile Designers
- 2 Desktop Designers

 

Role: 
UX Research
Ideation
Mockups and Prototyping    for mobile app
Testing + Iterating

Duration:
4 weeks 
(Nov - Dec 2023)

Design Tools:
Figma

PROJECT OVERVIEW

In response to the overwhelming abundance of options on popular food apps like Google Maps and Uber Eats, MUNCH was conceived to address decision fatigue by guiding users in refining their choices according to individual preferences and dietary restrictions. Additionally, MUNCH aims to inspire culinary exploration by offering engaging challenges and rewarding users for discovering new foods and restaurants.

This project was a collaborative project for GBDA 210 – Introduction to User Experience Design course at the University of Waterloo.

UNDERSTANDING THE USER

As a team, we conducted interviews with 5 individuals of various ages and backgrounds to gain insights into their restaurant decision-making process.

Insights

  1. Individuals looking to satisfy their cravings and restrictions: Our interviews revealed that individuals consider various factors when deciding on a restaurant, including cravings for specific cuisines and dietary restrictions such as price, convenience, quality, and diet.
     

  2. Personalization: Interviewees expressed a preference for a food discovery app that offers personalized recommendations based on their taste, preferences, and past choices.
     

  3. Influence of Recommendations: Several interviewees mentioned the influence of recommendations from friends and acquaintances in their restaurant choices, suggesting potential for social features within the app to enhance user experience.
     

  4. Simplistic Interface/Clear Information: Participants highlighted the importance of a simple and clean interface that provides clear information such as price ranges, food images, and distance from location. They expressed frustration with clunky interfaces that make navigation to new locations challenging.
     

  5. Challenges for Specific Diets: Individuals following specific diets, such as vegetarian, vegan, or halal, expressed frustration with the limited variety of dishes available at some restaurants. This lack of variety often leads to repetitive and uninspiring meal options, highlighting the need for more diverse offerings for individuals with dietary restrictions.
     

  6. Discovery: Majority of interviewees expressed a desire to move away from relying on "safe" options and explore new restaurants. However, they noted a lack of information for unexplored dining establishments, which reduces their likelihood of trying out new places. Providing visibility to small businesses and community staples is crucial for encouraging exploration and discovery among users.

Problem Statement:

How might we simplify the restaurant discovery process for food enthusiasts to efficiently find, explore, and enjoy diverse dining experiences that align with their specific dining preferences?

User Personas:

Based on the interview insights, I set up a persona to refer to through out the rest of the process. 

REQUIREMENTS/FEATURES

Next, as a team we took our initial list of requirements and sorted the must haves from things we could exclude

LOW FIDELITY MOCKUPS

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HIGH FIDELITY PROTOTYPE

Figma File

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