Pawsome

Empowering New Dog Parents through AI Innovation

 

Project Background

After forming our capstone project team, we quickly connected over our shared experiences of either owning pets or planning to adopt one in the near future. Through preliminary research, we also noticed that new dog owners still struggle to find trustworthy and relevant information despite the growing pet market.

This inspired us to create Pawsome, an AI-powered app designed to help new dog parents by simplifying the search for reliable resources and offering personalized support throughout the early stages of pet ownership.

 

TIMELINE

Jan - May 2024

TEAM

Sophia Ke, Ziying Liu

MY ROLE

UX Research Lead & UX Designer

Tools: Balsamiq, Figma, FigJam

 
 

THE CHALLENGE

How might we help new dog parents find relevant and tailored information more easily?

The global pet market is expected to reach a market size of $500 Billion by 2030 (Bloomberg Intelligence, 2023). Despite this growth, new dog owners still face stress and anxiety navigating through a vast amount of information online, trying to find information that matches their dogs' specific needs including breed, age, etc.

Project Goals

  • Offer personalized advice and resources for more efficient and accurate support for new dog parents

  • Promote responsible pet ownership, reducing health issues and pets surrendered to shelters

  • Improve pet health through early issue identification and customized nutrition plans

 
 

USER RESEARCH

Understanding dog parent’s needs and pain points

To have a better understanding of the problem space and user pain points, we conducted 60+ surveys and 8 user interviews with both novice and experienced dog parents to discover how they navigated through the early stage of dog ownership and what were some major pain points they had.

Key insights:

01 New pet owners often feel overwhelmed by the wide variety of dog food options and struggle to know which ones to choose.

02 New pet owners often worry about their dog's health and, with vet appointments days away, feel unsure about how to deal with sudden health issues.

03 Pet owners value connecting with other dog owners for socializing their dogs and seeking pet care advice.

 
 

INITIAL IDEATION

Brainstorming design concepts

When brainstorming ideas for the challenges faced by new dog owners, we chose to employ AI as part of our solution for its strong ability to collect and organize information, effectively helping users navigate overwhelming choices and find quick, reliable answers.

Based on user research, we found that pain points and needs of dog parents mostly focus on three topics: nutrition, health, and community involvement.

As a result, we created three concept ideas in Balsamiq targeting these three areas:

Concept 1 - Nutrition: Personalized dog nutrition plans tailored to each dog's profile with customized recipes

Concept 2 - Healthcare: An AI-powered diagnosis tool combined with a Q&A feature, providing additional support from professional veterinarians

Concept 3 - Community: The 'Find Playdate' feature lets users swipe through profiles of other dogs, while the 'Explore' community enables dog owners to share tips and information on dog care and parenting

 
 

CONCEPT TESTING

Scaling down the project scope

While all three concepts were appreciated, most users felt combining all three in one app could be too overwhelming. They also found the third concept, focused on social interaction, somewhat disconnected from the other two that prioritized dog care.

As a result, we decided to integrate the first two features—nutrition and healthcare—while removing the community feature. This allows us to shift our focus to providing dog owners with efficient, personalized support for nutrition and health-related needs, which is also users core concerns as echoed in our survey and interview findings.

 
 

USER FLOW

Mapping a new dog parent’s experience

After narrowing down our project scope, we began mapping out the app's user flow, defining the core structure and navigation logic. This process led us to consider how to ask the right questions to provide personalized information tailored to the needs of the user—or rather, the user’s dog.

 
 

LOW-FI PROTOTYPE

From Balsamiq to Figma

After finalizing the user flow structure, we transitioned from low-fidelity wireframes in Balsamiq to mid-fidelity wireframes in Figma. This step involved refining the layout and interactions while referring to the core structure derived from our user flow graph, which allowed us to add more visual clarity and detail.

 
 

STYLE GUIDE

Establishing visual identity

After designing the logo, we chose a color palette of yellow, orange, and black to create a friendly, playful vibe that aligns with our pet care theme and appeals to a younger audience.

 
 

USER TESTING

User feedback and iterations

After finalizing the high-fidelity prototypes based on the established style guide, we conducted our second round of user testing to evaluate the design and user experience, which provided valuable feedback and insights on key features.

Feedback 1: Enhancing Pet Safety with Emergency Alerts on the Health Screen

Users recommended adding an alert to remind people that the health diagnosis feature is not a substitute for veterinary care, and pet parents should seek professional help during emergencies.

Solution:

Feedback 2: Refining Content Clarity and Expanding User Control

Users suggested refining the wording in the Nutrition interface for better clarity and adding "no" options to the diet customization questions for greater user control and flexibility.

Solution:

Feedback 3: Providing Tailored Diet Recommendations for Informed Decision-Making

Users wanted diet recommendations to be more personalized to their pets, rather than receiving general advice, to make more informed decisions when preparing meals.

Solution:

Provide personalized recommendations and analysis based on each pet's specific condition.

For example, including advice like:

"As Momo is a young puppy, it would be better to include higher protein meals to support growth and development. Thus we recommend…"

This ensures users receive tailored suggestions that address their pet's age, health, and dietary needs for more informed meal preparation.

 
 

DESIGN SOLUTION

Key Features

Personalized Onboarding

Upon first login, users input their dog's breed, age, and weight, allowing the app to personalize content and recommendations for their pet.

Health Page: Professional Q&A + AI Diagnosis

  • Users can submit questions and receive advice from veterinarians and pet experts.

  • Users can upload images (e.g., eyes or teeth) for AI analysis, providing preliminary diagnoses and recommendations.

Food Page: Customized Meal Plan

Users can upload their current meal plan for AI assessment or create a new one. AI generates tailored meal options based on the dog's information and dietary needs, allowing users to evaluate them by cost, convenience, and nutritional value to choose the best fit.

 
 

REFLECTIONS

Takeaways

Adapting the Scope with Constraints
I learned to leverage user feedback and concept testing to make informed design decisions. By actively communicating with teammates and gathering user input, we were able to maximize output within limited time and resources.

Thoughtfully Applying AI
At each design stage, we carefully evaluated whether AI was the most efficient solution and how to integrate it in the most effective way. User interviews and testing also provided valuable insights into user’s attitude and trust towards AI, which will be especially helpful for other future AI-related projects I might work on.

Evaluating Impact and Feasibility
Participating in the design exposition challenged us to consider the value of our design. This experience sharpened my product thinking by focusing on the social and business impacts of the design, a key quality for creating meaningful, real-world solutions.

Next Steps

If we had additional time and resources to work on this project, some possible next steps would include:

More Usability Testing & Iteration

Conduct comprehensive usability tests with a broader user base to gather insights and feedback

Deploy App with AI

Deploy the app and AI features to test its real-world performance, AI accuracy, and overall usability

User Flow Refinement

Complete and refine the user flows and interactions across various features and buttons within the app