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Accelerating Research with AI

via Nielsen Norman Group

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Safely and effectively integrate AI into the user research process without sacrificing the integrity of your findings. Cut through the hype to learn where current genAI technology can actually benefit your research work.

Syllabus

What you will learn

Evaluate when and how to implement AI throughout the research process

The benefits and limitations of AI in UX research
Strategic opportunities for AI integration throughout the research process
Maintain methodological rigor while leveraging AI capabilities
Evaluate the tradeoff of quality vs. speed when using AI
Avoid AI products that overpromise and underdeliver for researchers

Design more effective research studies with AI assistance

Plan studies and create research plans more quickly with AI
Optimize screeners, discussion guides, and survey instruments
Improve participant recruitment and communication workflows

Analyze qualitative and quantitative data more efficiently

Use AI as a thought partner in your analysis and synthesis practice
Scale your ability to process large volumes of research data
Evaluate AI-generated research insights for accuracy, bias, and relevance
Follow data privacy best practices when using AI tools

Communicate research findings with greater impact

Articulate research findings in clear, actionable ways
Transform data into compelling visualizations and reports
Tailor research deliverables for different stakeholders
At least some experience using generative AI tools like ChatGPT. We will not cover prompting fundamentals or how AI works.
Access to at least one frontier AI model (such as OpenAI's ChatGPT, Google Gemini, Anthropic's Claude, or Microsoft Copilot). We strongly recommend paying for a "pro" or "plus" tier of a frontier AI model, in order to get the most from this course.