AI Application
Designing a user-friendly AI application that helps users understand and trust AI-generated outputs through transparent and intuitive interfaces.
The Challenge
Users lacked trust and understanding of AI outputs in the application. The AI model was powerful but users couldn't understand how it reached its conclusions, leading to low adoption rates and frequent support tickets. Users felt uncertain about when to rely on AI suggestions and when to override them.
The Goal
Design a transparent and understandable AI experience that builds user confidence. Create interfaces that explain AI reasoning without overwhelming users with technical details, and provide clear paths for users to verify and adjust AI suggestions.
The Process
- 1
Researched AI transparency patterns and best practices in human-AI interaction design
- 2
Conducted user interviews to understand trust barriers and information needs
- 3
Implemented progressive disclosure patterns to show AI confidence levels and reasoning
- 4
Designed clear microcopy that explains AI behavior in human-readable language
- 5
Created visual hierarchy that guides users through AI suggestions with clear action paths
- 6
Developed interactive prototypes and conducted usability testing with target users
The Impact
Increased user confidence in AI suggestions by 60% based on survey results
Reduced learning curve for new users by 45%
Decreased support tickets related to AI confusion by 70%
Improved AI suggestion acceptance rate by 35%
Positive user feedback highlighting improved transparency and trustworthiness
Tools Used
Skills Applied
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