AI-Powered Customer Intelligence

Voice of the Customer leveraged nascent AI technology to transform raw customer feedback into actionable business insights. As Lead UX Designer for IBM Watson, I created intuitive interfaces that made complex sentiment analysis and natural language processing accessible to business users.

Complex Data Visualization
- Pioneering ways to translate early AI insights into clear, actionable visualizations
- Balancing depth of information with clarity
- Creating intuitive patterns for data exploration when AI in business was still emerging
Sophisticated Filtering System
- Designing layered filters that maintained context
- Making complex queries feel simple and natural
- Enabling deep insight discovery at a time when AI capabilities were still evolving
Natural Language Processing Display
- Presenting early AI-extracted entities and concepts clearly
- Connecting high-level insights to source material
- Making nascent sentiment analysis tangible and actionable

Successfully implemented emerging AI technology in a business intelligence context
Enabled businesses to process thousands of complaints efficiently
Provided actionable insights through clear data visualization
Demonstrated effective methods for making AI insights accessible
Established visualization patterns that influenced modern business intelligence tools

Human-Centered AI Design
- Made early AI analysis accessible to business users
- Created clear visual patterns for data exploration
- Balanced available technology with usability needs
Innovative Visualization Patterns
- Developed novel approaches to displaying AI insights
- Created intuitive drill-down patterns for deeper understanding
- Established effective information hierarchy for AI-driven insights
Collaborative Success
- Worked closely with development to leverage available AI capabilities effectively
- Balanced user needs with system capabilities
- Created scalable design patterns that could evolve with the technology