Overview
User Experience (UX) design is vital for organisations seeking to succeed and thrive in competitive markets. A seamless and engaging user experience can significantly impact a company's success - influencing user satisfaction, customer loyalty, and overall business growth. This interactive one-day course will take you through how to craft exceptional user experiences:
- Design Thinking: How to design intuitive and compelling experiences
- Specific Solutions: UX design patterns for common challenges
- Integrating AI: Leveraging AI to develop excellent user interactions
Throughout the course, we will provide real-world examples and hands-on exercises to deepen your understanding of critical UX design issues. Additionally, you will have opportunities to discuss and apply these principles to your current and future projects, making this course highly practical and relevant to your professional needs.
Who should attend?
Ideal for marketers and website designers, this course provides a comprehensive grounding in the best practices for User Experience (UX) design, with a focus on effectively integrating AI technologies across various channels and devices.
This course is applicable to all sectors (B2C, B2B and non-profit).
Learning outcomes
- Develop a UX mindset to effectively address design challenges
- Understand actual user behaviours for audience engagement
- How to run user research, including: focus groups, surveys, usability and A/B testing
- Design guidelines for accessibility, addressing the needs of users with disabilities or diverse requirements
- Core UX principles, including: interaction cost & aesthetics, expectations & consistency, and affordances & visibility
- Design seamless experiences across channels, including: multi-channel, small screens, touch screens, voice control, and chatbots
- Best practices for designing key UX elements, such as homepages, navigation, comparison tables, forms and checkout, icons, and chat interfaces
- Using AI to support UX design efforts and implement best practices for the design of AI systems
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