Visualizing Gait Analysis:Compensatory Patterns Feature
Developed a feature to visually display common asymmetry patterns in horses gaits, helping users make more confident diagnoses in the Sleip AI app. This project involved user research, competitor analysis, and creative visualisations, culminating in a highly valued feature by the user community.
Project Goals:
- To identify key asymmetry patterns relevant to users' diagnostic processes.
- To design clear, intuitive visual representations that aid decision-making.
- To improve user confidence and satisfaction by providing accessible pattern information.
- To differentiate Sleip AI with innovative, user-centered features in the veterinary diagnostics space.
Research & Discovery Phase
User Problems Brainstorming.
Identified core user pain points and decision hurdles related to diagnosing asymmetry patterns in the app.
Competitive Analysis
Reviewed competitor features and industry standards to inform our design approach and ensure our visualisation methods are effective and innovative.
Design & Development Process
Developed a comprehensive library of asymmetry pattern illustrations, organised for easy integration and expansion within the app.
A systematic approach to categorising and storing pattern illustrations to streamline updates and scalability.
Visual Design & Illustration
Created matching horse illustrations with markers to visually explain each pattern clearly and intuitively.
Final Outcome & Implementation
A user-friendly, visually engaging feature that enhances diagnostic confidence and decision accuracy.
Outcome & Impact
Success Metrics:
- Improved user confidence as reported in user feedback.
- Increased feature usage and engagement.
- Enhanced app differentiation in the market.