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UX Research

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Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking

  • AI Ethics, AI in UX, Artificial Intelligence, ChatGPT, Design Thinking, Design Tools and Software, Human-Centered Design, LLM, Research Methods and Techniques, UX Research

Mashed potatoes as a lifestyle brand? When AI starts generating user personas for absurd products — and we start taking them seriously — it’s time to ask if we’ve all lost the plot. This sharp, irreverent critique exposes the real risks of using LLMs as synthetic users in UX research.

Article by Saul Wyner
IDEAS IN BRIEF
Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking
  • The article explores the growing use of AI-generated personas in UX research and why it’s often a shortcut with serious flaws.
  • It introduces critiques that LLMs are trained to mimic structure, not judgment. When researchers use AI as a stand-in for real users, they risk mistaking coherence for credibility and fantasy for data.
  • The piece argues that AI tools in UX should be assistants, not oracles. Trusting “synthetic users” or AI-conjured feedback risks replacing real insights with confident nonsense.
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22 min read

Hopeful Futures for UX Research

  • AI in UX, Career Development, Research Democratization, UX Research, UX Strategy

As UX research shifts and reshapes, how can researchers stay ahead? This article explores the changing landscape and how to thrive in it.

Article by James Lang
IDEAS IN BRIEF
Hopeful Futures for UX Research
  • The article explores how UX research is evolving, with roles shifting and adjacent skills like creativity and knowledge management becoming more important.
  • It looks at how non-researchers are doing more research work, and how this trend challenges traditional UX research careers.
  • The piece argues that researchers can stay relevant by adapting, staying curious, and finding new ways to share their value.
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16 min read

How AI and Metacognition Are Shaping UX Research

  • Artificial Intelligence, Cognitive Interface, Data Analysis, Design Thinking, Human-AI Interaction, Metacognition, User-Centered Design, UX Design, UX Research, UX Tools

Discover how AI is changing UX research. It’s not just making data analysis faster. It’s also encouraging people to think more deeply. Learn how to strike a balance between human insight and AI-driven efficiency to create more thoughtful designs.

Article by Charles Gedeon
IDEAS IN BRIEF
How AI and Metacognition Are Shaping UX Research
  • The article talks about how AI can speed up data analysis and encourage people to think more deeply about biases and missed insights, which can improve the quality of user-centered design.
  • It shows that AI-powered UX research tools need to include reflection checkpoints. These checkpoints let researchers critically assess their assumptions and conclusions.
  • The piece highlights the collaboration between AI’s ability to recognize patterns and human judgment to make sure the research outcomes are meaningful and consider the context.
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4 min read

Are You Doing Too Much Research?

  • Agile UX, Design Thinking, Product Management, Research, User-Centered Design, UX Design, UX Research

Are you overthinking your research process? This article explores how to determine when research is essential and when it might be holding you back. Learn a practical framework to prioritize studies, align with stakeholders, and maximize impact without wasting time or resources. Unlock strategies to focus your efforts on what truly matters.

Article by Carol Rossi
IDEAS IN BRIEF
Are You Doing Too Much Research?
  • The article questions the common practice of conducting extensive research, suggesting that not all projects require it. Instead, it highlights the importance of discerning when research is truly necessary.
  • It introduces a framework to prioritize research efforts based on clarity, risk, and cost, ensuring impactful results without unnecessary delays.
  • The author emphasizes the role of stakeholder involvement in the research process, fostering better collaboration and alignment with organizational goals.
  • Practical strategies are provided for tracking and communicating the post-research impact, making the value of research more transparent and measurable.
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7 min read
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