I conduct interviews and surveys, and use metrics to deeply understand user behaviors, motivations, and pain points.

I use AI sentiment analysis and behavior prediction tools to process large-scale data and gain deeper insights into subtle user emotions and behaviors rapidly.

I collaboratively refine user insights into a clear, actionable problem statement.

I use agentic AI to validate problem statements by comparing them with large-scale industry insights, ensuring alignment with user needs and market realities.

I host brainstorming sessions using human intuition and experience.

Then I engage generative AI to produce diverse, unbiased ideas, overcoming cognitive biases and introducing novel concepts to enrich the ideation process.

I quickly build simple, hand-drawn versions of my ideas.

Then I utilize AI-driven tools for rapid generation and iteration of prototypes, with swift exploration and refinement of multiple design paths simultaneously.

At this point, I need to conduct structured user testing sessions to gain real-world feedback.

I deploy AI agents to analyze user interactions, behaviors, and emotions during testing, extracting precise data-driven insights and recommendations for immediate design improvements.

I deliver validated, user-centric design solutions ready for deployment.

I continuously monitor user interactions through agentic AI, identifying evolving patterns, emerging needs, and opportunities for ongoing iterative improvement.