Articles

Kate Moran

Kate Moran is a former NN/G employee who worked on research, teaching, leadership, and design thought leadership. Her expertise spanned both qualitative and quantitative research methods. At NN/G Kate discovered and published ground-breaking findings on artificial intelligence (AI), interaction design, digital content, and information-seeking user behaviors.

Articles and Videos

  • 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.

  • Scope in Generative AI Features

    When designing AI product features, scope shapes key decisions. Research shows that focused AI features lead to better user understanding and adoption.

  • Strategic Research: Advice from ResearchOps Expert Kate Towsey

    ResearchOps expert Kate Towsey shares insights on building effective research systems, avoiding reactive approaches, and integrating AI thoughtfully in UX research.

  • Entering the UX Field: How to Overcome the Biggest Challenges

    Entering the UX field can be challenging and daunting. Our roundtable discussion unpacks the most common mistakes and misconceptions of people entering the field and provides actionable advice for how to overcome the biggest challenges.

  • The UX Reckoning: Prepare for 2025 and Beyond

    In 2025, reevaluate tactics; use AI to deliver user value; and develop deep UX skills, instead of relying on toolkits.

  • Experience Design: The Next Iteration of UX?

    As an umbrella term for UX/CX work, “experience design” reflects blended roles and core human-centered principles.

  • AI Features Must Solve Real User Problems

    AI features must solve real problems, not be implemented for novelty. Unnecessary AI chatbots and features can harm rather than help users.

  • Technology Myths and Urban Legends

    When users don’t clearly understand how systems function, they develop unique (and often incorrect) theories to explain their experiences.

  • Accelerating Research with AI

    AI can speed up certain research tasks but is currently most helpful in the planning and analysis stages.

  • Your AI UX Intern: Meet Ari

    Work with AI tools in UX the way you’d work with an intern: Treat their work as a first pass, double-check their facts, and provide specific instructions.