Show Notes
Send us Fan Mail While doing a research project, it is important to follow a systematic process, such as preparing a research plan, identifying your participants/respondents, collecting the data, analysing them, extracting and interpreting your data to translate them into actionable insights, and communicating them to your stakeholders. As there is so much to cover to conduct a research project, I will propose 3 episodes to cover all the steps. Planning Before starti...
More from UX Research Club
Send us Fan Mail Invisible Bias - Data Quality, Representation and AI Distortion We can analyse thousands of interviews, survey responses and behavioural data points in minutes. But what happens when the data is incomplete, certain voices are missing, or important nuances disappear during analysis? In this episode, Emmanuelle explores how AI can inherit, amplify and conceal existing biases in research, creating convincing insights that may not reflect the full complexity of human experience....
Send us Fan Mail 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: H...
Send us Fan Mail 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 dif...
Send us Fan Mail 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 questioningWhy repeated pa...
Send us Fan Mail 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 curre...