AI-Powered Dog Health App Design
Professional | Generative AI | Healthcare
I designed an app that uses smart collar data for real-time dog health monitoring and AI-driven diagnosis, reducing uncertainty around dogs’ health, reducing uncertainty around dogs’ health, providing actionable insights to prevent 70% wasted time and 80% vet visit costs.
Timeline
8/2024 - 3/2025
30 weeks
Product Designer
My Role
Figma
Adobe Illustrator
Adobe Photoshop
Tool
Interview
Survey
Competative Analysis
User Flow
Method
1 User Researcher
2 Engineer
1 Product Managers
1 Marketer
Collaborate
Design Showcase
Health Monitoring
Makes dog health conditions effortless to read with trustworthy data interpretation to help dog owners keep updated with their voiceless companions.
To enable effortless understanding, I designed:
Color Indication
Data Interpretation Insights
And the design helps building trust by:
Data Visualization
AI Diagnosis
Makes symptom input easy and accurate. Delivers clear, actionable diagnoses to reduce the uncertainties of dogs’ health issues.
To enable easy and accurate symptom input, I designed:
Image-based input with instruction
Dialog-based input with flexibility
To enable clear and actionable diagnoses, I designed:
Visual Diagrams
Treatment Lists
Activity Performance Analysis
Track dogs’ activities and see how activity performances indicate and influence their health intuitively and transparently.
To present activity performances intuitively, I designed:
Activity Performance Spider Chart
Category Performance Insights
To present activity performances transparently, I designed:
How Performance Scores Are Calculated
Problem Statement
All Dog Owners Face the Guessing Problems
Meet Bash! A 2-year-old Yorkshire Terrier！
He has been excessively shaking his head - a concerning sign that something’s wrong.
But Bash cannot talk, so he cannot tell us what’s wrong with him :(
Despite trying various solutions - new food, toys, and shampoos - we feel like we're lost in an endless guessing game.
Bash’s situation uncovers the common issues dog owners are facing:
Our Dogs are Silently Suffering!
It turned out that Bash was “silently” suffering from a painful ear infection.
Bash’s disease is a common issue affecting many dogs:
In 2022, there were 89 million dogs in the U.A:
Silent Sufferings Concern All Dog Owners
We conducted 30 interviews and 107 surveys, the result shows that,
With all the research, we bring up the “How-Might-We” question:
How might we help dog owners identify dogs' health issues and provide them with actionable treatment recommendations?
Solution Map
Competative Analysis
I started the design process with competitive analysis.
I first analyzed the dog collar apps in the market to understand the design pattern of pets’ healthcare apps, and more importantly, to confirm our product’s unique value.
The analysis shows that all the apps have GPS and activity tracking, indicating that these are critical features for a dog’s healthcare app. Therefore, the CayKnight app should have similar features.
Although there are apps providing insights into dogs’ activity, none of the apps in the market fulfill users’ needs of monitoring and predicting dogs’ health, or providing diagnoses and treatments for dogs’ health issues.
It confirms that the CayKnight app will address the unmet needs of the market.
I also analyze the commonly used health tracking apps in the market, Apple Health and Apple Fitness, to understand how to visualize the data.
Design Process
Health Monitoring
I aim to reduce Information intake effort by highlighting important messages.
Dashboard
I designed a health dashboard that displays real-time biometric data from a smart collar, helping users monitor their dog’s condition at a glance.
To ensure effortless understanding, I applied color indications: green for normal, yellow for warning, and red for danger. I also created an insight section featuring an emoji and a short phrase summarizing the dog’s current state, along with brief advice. Biometric data are visually highlighted by color indications, guiding users' attention to potential concerns.
Biometric Detail
Clicking a biometric panel reveals detailed information, including current and historical data. To further reduce users’ effort in understanding their dog’s health, I added a data interpretation panel. Like the insight panel, it uses color, emoji, and a short title to convey the overall status of the selected biometric.
The panel also provides contextual explanations, such as:
Why are certain biometric values considered abnormal
Possible causes of the abnormality
Warning signs to monitor if the condition persists
Recommended actions to address the issue
Dashboard
When an abnormal condition is detected, the app triggers an alert. On the dashboard, the profile color shifts from green to yellow (warning) or red (danger), and the insight panel updates with a brief overview of the issue, its potential cause, and suggested actions. The corresponding biometric panel also highlights the abnormal data, helping users assess the severity at a glance.
Health Tracking Features
To help users effortlessly intake important information, I added the insights panel, the emoji, and the color indication, which were absent in the previous version.
AI Diagnosis
Instructional Symptom Input
Flexible Symptom Input
Diagnosis
