1 day course 
Supporting material 
Private Course Credits
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AI is replacing many human-led activities in the product design and development process. However, there's one thing that it doesn't have - human empathy.
Face-to-face moderated interviews are still one of the most powerful research methods for qualitative data collection and empathy building, but they’re often something that teams and organizations skip due to lack of awareness, time or skills. In doing so, they’re missing out on a low-investment and high-return tool for strategic and tactical decision-making.
This course has been specifically designed to teach you or your team the art of conducting insightful user and stakeholder interviews, coupled with efficient ways to analyze and present interview data using AI. The course will cover the key methodologies for effective interviewing, and will demonstrate how AI can be leveraged to create valuable UX artefacts.
This User & Stakeholder Interviews Using Human Empathy & AI course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in the US.
Course overview
Who should attend:
This course is ideal for UX/UI designers, product managers, business analysts, and anyone involved in fields relating to user research and customer experience.
What you'll learn:
By the end of this course, you will be able to:
- Utilize techniques for conducting meaningful user and stakeholder interviews
- Frame questions to elicit valuable insights
- Understand how AI can assist in analysing qualitative data
- Utilize skills to create 'Jobs to be Done' statements and personas using AI-analyzed data
Prerequisites
In order to get the most out of this course, having a basic understanding of user research techniques is beneficial. No prior knowledge of AI is required.
Course agenda
- The fundamentals of user and stakeholder interviews
- Picking the right sample for research
- Techniques for effective questioning and active listening
- An introduction to AI in qualitative data analysis
- Practical applications: creating 'Jobs to Be Done' and personas
- Workshop: Conducting interviews and AI-assisted data analysis