Articles

Maria Rosala

Maria Rosala is the Director of Research at Nielsen Norman Group. She leads and oversees research at NN/g, trains teams around the world on UX topics, and works with clients to help them improve the user experience of their products and services.

 

@maria_rosala

Articles and Videos

  • The Methodological Problems Hiding in Your Research Tools

    The methodological blind spots in UX research tools have always been a problem. Now that AI is planning and analyzing research, it's gotten worse.

  • GenAI for Complex Questions, Search for Critical Facts

    Users choose AI to explore and synthesize information; but they rely on traditional search when accuracy and trust are critical.

  • How AI Literacy Shapes GenAI Use

    Using generative AI often doesn’t mean using it well. AI literacy requires both prompt fluency and the ability to assess outputs.

  • AI-Moderated Interviews: If, When, and How to Use Them

    AI interviews offer faster feedback at scale, but they're not a replacement for in-depth, human-led semistructured interviews.

  • Don’t Outsource Analysis to AI

    When you outsource your analysis to AI, you risk more than just bad insights — you risk your credibility. Learn 4 reasons why relying on AI for qualitative analysis can backfire and why critical thinking still matters.

  • AI Literacy

    AI literacy is the ability to understand how AI works, use it effectively, and critically evaluate its output. But it isn’t a simple spectrum or just about how often someone uses AI—understanding, trust, and effective use vary widely.

  • How AI Is Changing Search Behaviors

    Our study shows that generative AI is reshaping search, but long-standing habits persist. Many users still default to Google, giving Gemini a fighting chance.

  • Analyze Usability Test Data in 4 Steps

    Analyze with confidence by collecting relevant data, critically assessing it, and forming testable explanations.

  • 6 Dimensions for Assessing Usability Data in Analysis

    Analyze usability findings for authenticity, consistency, repetition, spontaneity, appropriateness, and confounding factors to separate surface impressions from real insights.

  • AI Adoption in the Workplace Still Low, 2 Years Later

    Designers may think AI features are now familiar to our users, but recent research suggests that adoption is still lower than we might think.