Case Study of

Food order customization app
designed for poolside snack bar

Project Information
ProjectFood order customization app designed for poolside snack bar
InstituteCoursera UX Design Certificate Program
PlatformMobile App
My RoleUI/UX Designer
ResponsibilitiesConducting interviews, paper and digital wireframing, low and high-fidelity prototyping, conducting usability studies, accounting for accessibility, and iterating on designs.
Tools UsedFigma | Adobe illustrator | Adobe Photoshop
Case Study

The Product

Funpops is a poolside snack bar located in a natural scenic area. They provide various types of snacks for their visitors and allow them to customize their food. Funpops target anyone who has different food tastes and choices without any age difference. They allow people to customize their food and enjoy the time they spent at Funpops with a feeling like being at their home.

Project Duration

August 2022 to November 2022.

The Problem

People who have special food choices like allergies and specially vegetarians does not get enough facilities to customize their foods or meals in snack shops as per their choice.

The Goal

Design an app for Funpops poolside snack bar which allow customers to select foods and customize it to their taste by replacing any ingredient by the ones they love to have in their food.

User research: summary

I conducted several interviews with the Funpops team to identify their requirement first. Then I did few interviews with selected users and created empathy maps to understand the users I’m designing for and their needs. A primary user group identified through research is people who have special food choices due to various personal reasons. 

This user group made us understand their requirement more clearer by confirming that the purpose of designing a food order customization app is really helpful for them. They have introduced us a large group of food choices that a poolside snack bar can have to impress their customers. This research proved us that we always neglected people who has food allergies, vegans, vegetarians, people who hate some food flavours and many more from food ordering apps..

Less Vegan Food Choices

Food choices for vegan and vegetarian people are always limited. Even no any flexibility is given for them if they want to try a non vegan food with small customizations.

Get Affected by Food Allergies

People get affected by food allergies unknowingly due to less awareness about what’s including in their foods before they eat.

Can’t customize any food/ingredient

People who hate some spices or tastes can’t replace them by anything else when ordering food. They just have to look for another food item from menu.

Scared of eating from snack bars

Due to some bad food experiences some people are scared of eating from snack bars since the ingredients are not transparent for the customers.

Sticker Sheet
Sticker Sheet
UI Design Process
User Persona
User Journey Map
Mapping David’s user journey revealed how helpful it would be for vegetarians and other people who have food choices of their own to have access to a dedicated Food order customization app.
User Story
Wireframes
Time spent to draft the iterations of each app screen ensures that the digital wireframes would perfectly addresses the user pain points. For my paper work, I prioritized the food selection and customization process to help users customize their own food before ordering.
Digital Wireframes
Once the digital wireframes are completed I created a low-fidelity prototype. The primary user flow I connected was customizing and ordering a food, so the prototype could be used in a usability study.
View the Funpop’s App low-fidelity prototype

Usability study: findings

With the selected participants I conducted two rounds of usability studies for my app. Findings from the first study helped me to do the designs from wireframes to mockups. The second study used a high-fidelity prototype and revealed what aspects of the mockups needed refining.

Round 1 findings

Round 2 findings

Accessibility considerations

High-Fidelity Prototype
Thank Light
drawing-07

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