GÜAF!: Helping You Find the Best Food for Your Dog

Timeline: July 2023 – January 2024

Context: This project, part of the Google UX Design Certification, was inspired by the common struggles dog owners face when searching for the best food for their pets.

Challenge: Design a dedicated app that helps dog owners easily find the most suitable and healthy food options for their dogs.

Solution: I created GÜAF!, an app with a specialized search engine for dog food and a barcode scanner for pet products, simplifying the process of making informed and confident choices for their furry friends.

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The problem:

The vast variety of dog food options can be overwhelming for pet owners, making it difficult to choose the right one—especially when their dogs have specific health needs or dietary restrictions.

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Objective:

Create a mobile app that empowers pet owners to easily search for and identify the best food options for their dogs based on their unique needs.

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My role:

Motivated by my dog’s struggles with skin allergies and the challenge of finding suitable food, I led every phase of the project—from research and ideation to prototyping, testing, and final design.

Understanding the User

In-depth Interviews.
Persona.
General Storyboard.
User Flow.

In-depth Interviews

3 women and 1 man (ages 28 - 51, Costa Rica). 75% with special dietary needs dogs.

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"Some [clerks] have given me amazing recommendations, but others really lack knowledge on the subject."

Finding reliable and informed recommendations from store clerks about specific health conditions for dogs is often a challenge.

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"I don't have enough time to do the research it takes to find the best food for him."

Researching the best dog food is time-consuming, with information scattered across multiple sources and often difficult to understand.

"The most important thing is to find food that meets my dog's requirements and is reasonably priced."

Whether it’s allergies, medical conditions, age, or taste preferences, dog owners prioritize finding the best food for their pets while staying within their budget.

😵‍💫

"The information on the market is confusing..."

Most interviewees expressed difficulty understanding nutritional tables or ingredient lists on dog food packages, making it harder to make informed decisions.

Persona

Hugo: Retired Dog Owner with a Passion for Research

Hugo, a 55-year-old retired marketing professional, spends most of his time caring for his four dogs of different ages and sizes. With plenty of time on his hands, Hugo is deeply invested in finding the best food for each of his pets, especially considering their unique health needs. However, he often feels frustrated by the lack of reliable recommendations or easily understandable information from store clerks.

😡 Main Frustration: Hugo struggles to find detailed and clear information about dog food for special health conditions and is often disappointed when the food he needs is out of stock.

General Storyboard

User flow

Task: Scan the barcode on a dog food product to read more about the ingredients.

Starting to Design

Paper Wireframes.
First Iteration: Low fidelity prototype.
Unmoderated Usability Study.
Design Iterations & Improvements.

Paper Wireframes

First Iteration: Low fidelity prototype

The Bar Code Scanner

The app’s main feature allows users to scan the barcode of dog food products in stores and instantly receive clear, easy-to-understand information about them.


The Search Engine

A series of user-centered filters were added to the search engine, allowing dog owners to easily research and find the best dog food, all in one convenient place.


My "Favorite" Lists

Users can save their favorite products into customizable lists, making it easy to organize and revisit their top choices.

Unmoderated Usability Study

The same 5 people from the in-depth interviews.

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The Barcode Scanner Is Difficult to Find

Most users expressed frustration with locating the scanner, as it’s hidden within the search engine filters.

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The Search Bar Is Super Useful for Research

Most participants appreciated the food search engine with filters, finding it helpful for conducting in-depth research from scratch. Most of them expressed it's more useful than the scanner.

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We Want to Understand the Ingredient List

Participants found it difficult to understand the language used on dog food ingredient lists. They expressed a desire for a simplified, "for dummies" version to make it clearer and more accessible.

Design Iterations & Improvements

Search Bar vs. Scanner Priority

The scanner has been integrated into the home screen for easy access. It is positioned next to the search bar, ensuring the search feature remains the primary focus while providing the scanner as a convenient secondary option.


Enhanced Search Engine for Better Research

The search engine is now more intuitive, with simpler filters and clearer text. A new filter shows where food can be purchased. Users value it for research at home or on-the-go.

Refining the Design

Final Prototype.

Final Prototype

Search Engine for Research

The search engine is accessible from the top of the home screen and the app menu. Its extensive filter system is effective only with a robust database.


Scanner for In-Store or At-Home Use

The scanner is designed for use when you're in front of a product, whether in a store or at home. It’s prominently placed in the center of the app menu for easy access.


Simplified Ingredient Insights

Each ingredient is accompanied by brief, easy-to-understand details and icons highlighting key information for quick reference.

For the Future.

Impact.
Key Takeaways and Future Improvements.

Impact

As this was an academic project, it was not publicly released, so no usage data is available.

“This app would help me a lot to find good food for Lola, because she is already old and has always been allergic.”

—Participant C

Key Takeaways and Future Improvements

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Usability Insights and Focus

I gained valuable experience in usability studies, learning how findings shape app changes. I also learned the importance of starting with a clear initial idea and focusing on one function at a time to avoid overwhelming the app with features.

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Expanding Research and Accessibility

Next time, I would interview more diverse users, including dog owners with different buying habits and professionals from vet clinics or pet stores. Additionally, I would prioritize accessibility improvements, such as voice search, better color contrast, and dictation options.

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Enhancing User Value and Partnerships

I would explore which filters create the most value for users and consider partnerships with points of sale to enable seamless food purchases directly from the app.

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