Researchers now have the opportunity to leverage AI tools for several study planning tasks including desk research, workshop planning, study brief and protocol drafting, interview guide creation, and recruiting screener development. Part 1 of the AI vs. Human series delves into findings on the study planning phase from our empirical study comparing the effectiveness of AI models and human researchers in conducting qualitative interviews.

Moodi Mahmoudi, Co-Founder and CEO at Next, discusses how the AI-powered product discovery platform helps everyone from executives and product teams validate day-to-day product decisions and big-picture ideas with customer insights.

Download the executive summary of our empirical study exploring how AI tools measure up to human-led research — and get exclusive insights on applying AI in your UX and product research.

Jeff Erickson, Co-Founder and Chief Product Officer at Viable, discusses the combination of analyzing many customer data sources with innovative data collection techniques including automating the interview process to gather rich, qualitative data more efficiently at scale.

Alfred Wahlforss, Co-Founder at Listen Labs, explains how Listen Labs leverages AI to conduct, analyze, and summarize qualitative research at scale, addressing the challenge of gaining deep user insights while maintaining quantitative power.

Prayag Narula, Co-Founder & CEO at Marvin, shares how AI into UX tools like Marvin can help break down silos within organizations by making research accessible to not just researchers but also designers, product managers, and strategic planners.

Kwame Ferreira, Founder at Synthetic Users, describes how synthetic users can speed discovery and be especially useful in the initial and growth phases of the product lifecycle, where quick and iterative feedback can significantly influence and optimize development.

Vlad Racoare, Co-Founder at Research Studio, discusses how Research Studio utilizes AI technologies to automate complex UX research processes, transforming massive data sets into actionable insights.

Max Hackenschmied, Co-Founder at Condens, shared how Condens can accelerate the analysis process and his views on the role AI has in forming research insights.

Aaron Cannon, CEO and Co-Founder of Outset, discusses the transformative power of AI in UX and Product Discovery research and his vision to harness the best features of Qualitative and Qualitative research into a single study.

Adam Fard, founder of UX Pilot, shares how integrating AI into insights analysis, workshops, strategy, prototyping, and creating style guides can dramatically enhance the process, while preserving the indispensable human element in UX design.

Henrik Mattsson, CEO of Lookback, highlights the value of collaboration in product development and the role AI can play in facilitating stakeholder engagement with UX research insights to create better user experiences.

Valérie Pegon of Qoqo.ai talks with us about using an AI companion in Figma and Figjam to enhance workshops and UX research planning and analysis called Qoqo.

Max Fergus, CEO and founder of UserCue, shares his vision for the future of UX research and how UserCue offers dynamic AI moderated interviews and analysis at scale.

Artificial Intelligence (AI) is quickly transforming user experience (UX) research. “AI for UX,” is a space to consider the future of UX research with AI, brought to you by Brilliant. Join Brilliant on YouTube as we interview leaders and founders of some of the most popular UX research tools.

When people talk about user experience, they typically refer to the way an experience feels to a user and the decisions it encourages them to make. They are partially correct. At Brilliant Experience, we know that this covers only two of the key influences on a user's experience.

Trained to study more dimensions of human thinking, they leverage the Six Minds framework, which delves into the six fundamental aspects of human thinking: attention, memory, language, emotions, problem-solving, and wayfinding. By tapping into this framework, our PhDs paint a vivid picture of your customers' thought processes and motivations. And because time is of the essence in product development, the team swiftly unravels the "why" behind your customers' needs.