Transforming UX Design with Generative AI

Professional Background

• Coach and Instructor at CoCreate
• Community Organizer at UXSG
• Led UX for The Economist and Yahoo! Finance
• 20+ years in UX across multiple industries:

My Mission

"To empower UX designers to become indispensable - positioning them to not only survive change, but dominate."

As building and releasing products become cheaper and faster, the market will be flooded with products. UX is positioned to provide companies with competitive edge. Whoever can super serve customers gets the business.

By the end of this webinar, you'll be able to:

• Identify at least 3 UX activities in your workflow that can be immediately accelerated with AI
• Understand which UX tasks benefit most from AI assistance
• Take the first steps toward integrating AI into your team's workflow

Agenda

• AI in UX Workflow: Before & After
• Building Future-Ready Design Teams
• Live Demo: UX Audit Agent
• Q&A and Next Steps

• Brainstorm questions (1 hour)
• Draft & structure survey (45 mins)
• Review & refine (30 mins)
• Analyze results manually (3-4 hours)

• Generate questions with AI (10 mins)
• Refine & structure with AI (15 mins)
• Analyze results with AI synthesis (30 mins)
• Human review & validation (30 mins)

• Define the Research Goal (2 hours)
• Prepare the Interview Guide (3 hours)
• Recruit Suitable Participants (4 hours)
• Conduct the Interviews (10 hours for 10 participants)
• Analyze the Data Collected (20-30 hours)
• Share the Findings (3 hours)

• Define the Research Goal (1 hour)
• AI-Generated Interview Guide (30 mins)
• AI-Assisted Participant Matching (1 hour)
• Conduct the Interviews (10 hours for 10 participants)
• AI Analysis & Theme Extraction (1 hour)
• AI-Generated Findings Report (30 mins)

• Identify research sources (1 hour)
• Manual data collection (3-4 hours)
• Competitive analysis (2-3 hours)
• Report creation (2 hours)

• AI-guided research parameters (15 mins)
• AI-assisted data gathering (30 mins)
• AI-generated competitive analysis (30 mins)
• Human review & strategic insights (30 mins)

• Gather user data (already done in research)
• Draft journey stages (2 hours)
• Map touchpoints & emotions (3 hours)
• Refine & visualize (2 hours)

• Input research insights to AI (10 mins)
• Generate journey framework (15 mins)
• AI-assisted touchpoint & emotion mapping (30 mins)
• Human refinement & validation (1 hour)

• Define audit parameters (1 hour)
• Manual heuristic evaluation (8-12 hours)
• Documentation of issues (3-4 hours)
• Prioritization & recommendations (2-3 hours)

• Define audit parameters with AI (30 mins)
• AI-assisted heuristic evaluation (30 mins)
• Automated documentation with AI (15 mins)
• Human validation & strategic prioritization (2 hours)

• Brainstorming session prep (1 hour)
• Team brainstorming (2 hours)
• Idea organization & refinement (1 hour)
• Prioritization framework (1 hour)

• AI-generated starter ideas (15 mins)
• AI-enhanced team brainstorming (1 hour)
• Automated organization with AI (15 mins)
• Human strategic prioritization (45 mins)

• Identify key user tasks (1 hour)
• Draft flow diagrams (2-3 hours)
• Review & refine flows (1 hour)
• Finalize documentation (1 hour)

• Generate flow options with AI (20 mins)
• Human review & selection (20 mins)
• AI refinement of selected flow (15 mins)
• Human validation & finalization (30 mins)

• Sketch initial concepts (1-2 hours)
• Create digital wireframes (3-4 hours)
• Review & iteration (2 hours)
• Document annotations (1 hour)

• Generate multiple layout options with AI (15 mins)
• Human review & selection (20 mins)
• AI refinement of selected wireframes (15 mins)
• Human customization & validation (1 hour)

• Gather requirements (1 hour)
• Draft technical specifications (3-4 hours)
• Review with stakeholders (1 hour)
• Revise & finalize (1-2 hours)

• Input key requirements to AI (15 mins)
• Generate comprehensive documentation (20 mins)
• Human review & refinement (30 mins)
• Stakeholder review & finalization (1 hour)

• Set up prototype structure (1 hour)
• Create interactive elements (3-4 hours)
• Build interaction flows (2-3 hours)
• Test & refine (1-2 hours)

• Generate interactive prototype with AI (30 mins)
• Human refinement of interactions (1 hour)
• AI-assisted iteration based on feedback (30 mins)
• Final validation & testing (1 hour)

• Content strategy development (2 hours)
• Draft UI copy & messaging (3-4 hours)
• Review & refine copy (1-2 hours)
• Finalize & implement (1 hour)

• Develop content strategy with AI guidance (30 mins)
• Generate multiple copy variations (15 mins)
• Human selection & refinement (30 mins)
• Finalize & implement (30 mins)

• Create test plan & scenarios (2 hours)
• Prepare test scripts (1-2 hours)
• Conduct tests (5 hours for 5 participants)
• Manual analysis of findings (10 hours)
• Report creation (4 hours)

• Generate test plan & scenarios with AI (30 mins)
• AI-generated test scripts (15 mins)
• Conduct tests (5 hours for 5 participants)
• AI synthesis of findings (1 hour)
• Human validation & report creation (2 hours)

• Manual review against WCAG (4-6 hours)
• Issue documentation (2-3 hours)
• Prioritization & recommendations (2 hours)
• Follow-up testing (1-2 hours)

• AI-assisted WCAG compliance check (1 hour)
• Automated issue documentation (30 mins)
• Human validation & prioritization (1 hour)
• AI-generated fix recommendations (30 mins)

Why Fundamentals Matter More Than Ever

• AI excels at execution but not strategy
• Human judgment remains essential for quality
• Strong foundations enable better AI direction
• Design principles guide effective evaluation of AI outputs

Core Competencies to Develop

• Strategic thinking & problem framing
• Design principles & accessibility knowledge
• Critical evaluation of AI outputs
• Effective collaboration across teams
• Ability to identify when AI is appropriate vs. when human touch is needed

Key Principles

• Be specific about deliverables & constraints
• Provide context & examples
• Use frameworks (Role, Context, Task, Format)
• Chain of thought for complex problems

UX-Specific Techniques

• Include user personas in prompts
• Reference design systems & brand guidelines
• Use examples from previous work
• Iterate based on outputs
• Combine AI outputs with human refinement

AI-Optimized Tasks

• Initial content generation
• Data analysis & pattern recognition
• Variation creation & exploration
• Documentation & standardization
• First-draft creation
• Routine evaluations against standards

Human-Critical Tasks

• Strategic problem definition
• Empathy & emotional understanding
• Creative direction & brand alignment
• Final quality control & approval
• Stakeholder communication
• Ethical decision-making

Quantitative Metrics

• Time-to-completion (3x improvement average)
• Output volume (300%+ increase)
• Iteration cycles (5x more exploration)
• Error reduction (42% fewer revisions)
• Cost savings from efficiency gains

Qualitative Metrics

• Stakeholder satisfaction scores
• Team creativity & innovation measures
• Design system consistency adherence
• Knowledge retention & documentation quality
• Designer job satisfaction & engagement

Key Takeaways

• AI is a multiplier for UX teams, not a replacement
• Start with high-volume, low-risk activities
• Measure impact with clear metrics
• Build team capabilities progressively
• Focus on strategic value while AI handles execution

Getting Started

• Week 1: Tool experimentation with one UX task
• Month 1: Process integration for 2-3 core activities
• Month 3: Workflow optimization and team training
• Month 6: Advanced applications & custom tools
• Year 1: Full integration across the UX pipeline

Workshop Offerings

• Workshops for UX Professionals
• Workshops for Digital Markerters
• Enterprise custom training programs

Coaching & Consulting

• AI implementation strategy
• Custom AI agent development
• Team capability building
• Process transformation
• Career Accelerator with AI