Upskilling Plan for UX Design Teams
As AI rapidly evolves, it’s becoming an essential tool in the design process. From automating tedious tasks to generating new creative possibilities, AI can enhance both efficiency and innovation.
This AI Study Hall is designed to provide a structured yet flexible learning environment for designers to explore AI-driven tools and techniques. Whether you’re new to AI or already experimenting with its capabilities, this program will help deepen your understanding and refine your skills in a collaborative setting.
Through twice-weekly sessions, participants will engage in hands-on learning, experimentation, and knowledge-sharing, ensuring that AI becomes an integrated and beneficial part of their design workflow. The goal is not to replace human creativity but to empower designers to work smarter, faster, and more effectively.
Suggested Cadence
| Week | Topic | Tuesday (Learning/Building) | Thursday (Sharing/Feedback) | Notes |
|---|---|---|---|---|
| 1 | Introduction to AI & Design | Overview of AI in design, ethics, and opportunities. Tools exploration (ChatGPT, Midjourney, Runway ML). | Team discussion on AI’s role in design. Share past experiences and expectations. | |
| 2 | AI-Powered Research & Insights | Using AI for user research, sentiment analysis, and data synthesis. Tools: Figma AI, Notion AI, Perplexity. | Present AI-driven research insights and discuss findings. | |
| 3 | AI for Ideation & Concepting | Generating design prompts, mood boards, and ideation workflows using AI. Tools: ChatGPT, DALL·E, Adobe Firefly. | Share AI-generated concepts and discuss refinements. | |
| 4 | AI-Enhanced Prototyping | Exploring AI-assisted prototyping (Framer AI, Figma AI, Uizard). | Review AI-generated prototypes and discuss UX implications. | |
| 5 | AI in Visual Design & Branding | AI for brand identity, logo generation, and style guides. Tools: Midjourney, Adobe Sensei. | Share and critique AI-generated visual assets. | |
| 6 | AI for UX Writing & Content | AI for UX microcopy, error messaging, and content creation. Tools: Jasper, ChatGPT, Grammarly AI. | Team review of AI-generated UX content. | |
| 7 | AI for Personalization & Adaptive UI | Using AI to create personalized user experiences. Tools: Dynamic UI with AI models. | Discuss case studies of adaptive UI and test small-scale applications. | |
| 8 | AI and Motion Design | AI-generated animations and motion graphics (Runway ML, Adobe Sensei). | Showcase AI-generated motion work and get feedback. | |
| 9 | AI for Accessibility & Inclusive Design | AI-driven accessibility testing and enhancements. Tools: Stark, Microsoft Seeing AI. | Discuss AI solutions for accessibility and refine ideas. | |
| 10 | AI in User Testing & Feedback Analysis | AI-powered usability testing, heatmaps, and feedback analysis. Tools: Hotjar AI, Maze AI. | Share and discuss AI-assisted user testing outcomes. | |
| 11 | AI for Code & No-Code Prototyping | AI-assisted development for no-code/low-code tools. Tools: Framer AI, Bubble AI. | Showcase working prototypes and discuss challenges. | |
| 12 | AI & Ethical Design Considerations | AI bias, responsible AI design, and ethical considerations. | Group discussion and case study review. | |
| 13 | AI in Future Design Trends | AI's evolving role in design—speculative futures and opportunities. | Open forum: What’s next for AI in design? | |
| 14 | Final Showcase & Retrospective | Prepare final AI-enhanced projects and presentations. | Final presentation, peer reviews, and program reflections. |
Additional Notes:
This structured approach ensures both skill-building and applied learning, with a strong emphasis on collaborative growth.