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What Happens to UX Research Craft in the AI Era?
AI is starting to take over parts of the research workflow, but that doesn’t mean the craft of UX Research is going away. It’s evolving.
In this episode, Emmanuelle reflects on why judgement, critical thinking, observation, and interpretation are becoming even more essential. She also looks at how junior researchers might be the most impacted, and why AI could actually push us back toward more field research.
In this episode:
How AI is reshaping the role of researchers
Why qualitative research is more than just transcripts
The potential impact on junior researcher growth
Why field research might regain importance
The skills researchers will need moving forward
Because in the end, the future of UX Research isn’t just about what AI can generate; it’s about our ability to question it, challenge it, and make sense of it.
📖 The UX Research Powerhouse, Vol. 1 — The Foundation of UX Research Strategic Leadership
Launching in  November 2025, A playbook and manifesto for research leaders, with a 365-day leadership roadmap, tools to measure impact, and a bonus chapter on AI.  📘 Get the book on Amazon: here 
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AI is transforming the way organisations work, but successful AI adoption is about far more than technology.
In this episode, Emmanuelle explores how AI is exposing the operational maturity of organisations, revealing the difference between teams built on strong systems, governance and workflows, and those relying on workarounds and individual effort.
Using UX Research as a lens, she discusses why AI may amplify operational weaknesses, how mature organisations approach AI differently, and why UX Research plays an important role in helping organisations redesign workflows, manage risk, and navigate AI transformation responsibly.
In this episode:
• Why AI exposes operational maturity gaps
• The difference between operational systems and operational heroics
• How AI can amplify fragmentation and inconsistency
• Why governance, workflow design and management practices matter
• The hidden risks of accelerating work without improving quality
• Why UX Research may become increasingly important in AI transformation
Because AI transformation is not fundamentally a technology challenge,  it is a human systems challenge.
📖 The UX Research Powerhouse, Vol. 1 — The Foundation of UX Research Strategic Leadership
Launching in  November 2025, A playbook and manifesto for research leaders, with a 365-day leadership roadmap, tools to measure impact, and a bonus chapter on AI.  📘 Get the book on Amazon: here 
Emmanuelle's LinkedIn     Instagram

If you want to support the UX Research club, you can write a review, share it with your network, give some stars or buy me a coffee  
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In this episode, Dr. Emmanuelle Savarit explores one of the most subtle risks emerging as AI becomes embedded into research workflows: the illusion that faster outputs automatically mean deeper understanding.
As AI increasingly supports recruitment, synthesis, reporting, and analysis, researchers gain speed and efficiency — but may also begin trusting polished outputs too quickly.
This episode explores:
How AI-generated summaries can reduce critical questioning
Why repeated patterns are not always meaningful insights
The difference between processed evidence and raw evidence
How analytical judgement can weaken when researchers move too far from the underlying data
Why AI should remain an assistant,  not the final authority
This is not an argument against AI, but a call to use it consciously, critically, and responsibly.
Because in the AI era, the value of the researcher will not simply be producing outputs faster, but preserving judgment, nuance, and depth.
#UXResearch #AI #ResearchLeadership #AIEthics #UserResearch #ResponsibleAI
📖 The UX Research Powerhouse, Vol. 1 — The Foundation of UX Research Strategic Leadership
Launching in  November 2025, A playbook and manifesto for research leaders, with a 365-day leadership roadmap, tools to measure impact, and a bonus chapter on AI.  📘 Get the book on Amazon: here 
Emmanuelle's LinkedIn     Instagram

If you want to support the UX Research club, you can write a review, share it with your network, give some stars or buy me a coffee  
Thank you for listening and supporting the UX Research Club

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AI is now entering almost every stage of the UX Research workflow — from briefing and discussion guides to transcription, synthesis, and reporting.
But while the productivity gains are real, speed is not the only question.
In this solo episode, Emmanuelle explores where AI is genuinely helping researchers, where caution is needed, and why the future value of UX Research will depend increasingly on human judgment, accountability, and oversight.
In this episode:
 The current hype and anxiety around AI in UX Research 
 Automation, machine learning, generative AI and agentic AI, what’s the difference? 
 Where AI is already showing up in the research workflow 
 Why faster outputs do not always mean deeper insights 
 Data privacy, vendor trust and researcher accountability 
 Why AI is pushing UX Research beyond productivity into strategic responsibility 
If AI is becoming part of your workflow, this is a conversation worth having.
📖 The UX Research Powerhouse, Vol. 1 — The Foundation of UX Research Strategic Leadership
Launching in  November 2025, A playbook and manifesto for research leaders, with a 365-day leadership roadmap, tools to measure impact, and a bonus chapter on AI.  📘 Get the book on Amazon: here 
Emmanuelle's LinkedIn     Instagram

If you want to support the UX Research club, you can write a review, share it with your network, give some stars or buy me a coffee  
Thank you for listening and supporting the UX Research Club

Send us Fan Mail
The UX job market has changed significantly in recent years, with layoffs, tighter budgets, and the rapid emergence of AI affecting many UX professionals.
In this episode of The UX Research Club, I speak with Mathieu Ritter, founder of Undiscovered, a recruitment agency specialising in UX, design and research recruitment, as well as product and software engineering roles.
With more than 13 years of experience in UX recruitment, Mathieu shares his perspective on the current hiring market and what companies are looking for today.
In this conversation, we discuss:
 How the UX and UX research job market has evolved 
 What companies look for when hiring UX researchers 
 The current hiring market in Europe 
 What recruiters look for in CVs and portfolios 
 How candidates can better prepare for interviews 
 How AI is influencing UX hiring and skills expectations 
Guest
Mathieu Ritter
Founder, Undiscovered
LinkedIn 
 

📖 The UX Research Powerhouse, Vol. 1 — The Foundation of UX Research Strategic Leadership
Launching in  November 2025, A playbook and manifesto for research leaders, with a 365-day leadership roadmap, tools to measure impact, and a bonus chapter on AI.  📘 Get the book on Amazon: here 
Emmanuelle's LinkedIn     Instagram

If you want to support the UX Research club, you can write a review, share it with your network, give some stars or buy me a coffee  
Thank you for listening and supporting the UX Research Club