AI for Research: Prompt, Analyze, Prototype, Learn how to apply generative AI to research — to build better prompts, synthesize data, and simulate user insights.
Course Description
Looking to speed up your UX or product research process using AI? his course provides a practical, research-focused approach to using generative AI tools such as ChatGPT, Claude, Gamma, and others to enhance efficiency, reduce manual workload, and support deeper, more structured insights.
Designed for researchers, designers, analysts, and product managers, this course guides you through applying AI across the research cycle — from planning and data collection to analysis and presentation. You will learn how to build effective prompts, analyze qualitative and quantitative data, simulate synthetic respondents for early testing, and translate research findings into clear, actionable outputs such as reports, presentations, and prototypes.
Throughout the course, you will engage with real-world examples, tool demonstrations, and comparative analyses to better understand the practical role of AI in research. We will also critically examine the limitations, risks, and ethical considerations of using AI in research contexts, fostering a balanced and reflective approach.
No prior experience with AI is required. This course is beginner-friendly yet designed for professionals seeking to enhance their research practice with AI-supported methods. By the end, you will have a practical toolkit to help you streamline repetitive tasks, strengthen insight generation, and focus more time and energy on analysis, decision-making, and delivering value to your team or organization.
