Tanya Berlina, Client Success Director at Yasna.ai, discusses how AI-powered research tools like Yasna enable UX researchers and product managers to scale qualitative research without losing depth, blend qualitative and quantitative insights for smarter decision-making, and streamline routine tasks while keeping human expertise at the center of the research process.

Eric Li, Co-Founder of Versive, discusses how AI tools are transforming customer research by enabling faster interview-like studies, allowing for more research that produces better product decisions, and shifting researchers toward more strategic roles.

Kene Anoliefo, Co-founder at Heard, discusses how AI-powered research is transforming product discovery by making it faster, more iterative, and seamlessly integrating qualitative and quantitative insights.

Matteo Cera, Co-Founder and CEO at Glaut, discusses how AI-moderated interviews are bridging the gap between qualitative and quantitative research, enabling global insights in hours, and shifting UX research from surveys to natural conversations.

Natan Voitenkov, Co-Founder and CEO of Genway AI, discusses how tools like Genway are expanding the target audience for research insights to include designers, product managers, and broader consumer insights functions.

Basel Fakhoury, Co-Founder and CEO at User Interviews. Basel discusses how User Interviews’ AI-powered platform and integrations enable faster participant recruitment and AI’s potential to democratize research workflows and increase the ROI of user insights.

Ben Hookway, CEO at Relative Insight, shares a comparative linguistics approach that delivers clear, evidence-based metrics that support decision-making by analyzing open-ended NPS responses.

Jonathan Fairman, VP of Product at dscout, emphasizes how AI tools integrated into dScout help researchers handle the overwhelming amount of data from diary studies or large research projects efficiently.

Michael Bamberger, Founder at Tetra, explains how AI tools like Tetra are automating insights, leveraging organic data, and enabling faster, more explorative research workflows across an organization – freeing up time for creative human research and amplifying the impact of UX research.

 Kathryn Topp, CEO and Founder at Yabble, discusses how AI tools are impacting UX research and consumer product innovation by accelerating insights, enabling rapid product iteration, and uncovering emerging trends like the convergence of physical and digital experiences.

Jack Bowen, Founder at CoLoop, discusses the future of qualitative research and how Coloop uses AI to elevate research processes without taking over.

Tash Ahmed, co-founder at User Evaluation, discusses how AI tools are enhancing insight generation for UX research and product discovery, significantly reducing analysis time, and addressing trust issues with AI-generated analysis.

Chad Reynolds, CEO at Vurvey, shares how the tool enhances UX research and product development with scalable insights, AI Agents for analysis, and on-demand consumer interactions. 

Arnob Mukherjee, Co-Founder at Olvy, discusses how AI tools like Olvy are allowing product teams to dramatically increase the number of evidence-based decisions they make by analyzing multiple data streams at once.

Philip Brook, Co-Founder at Voiceform, on how AI can make surveys more interactive, enabling researchers to quickly analyze data and summarize participant responses and follow up on those responses to gather deeper insights.

Alok Jain, CEO at Reveal, discusses how AI can streamline the data analysis process and provide verification mechanisms that make it easier for researchers – and product teams – to trust AI-generated insights.

Axel Thomson, Founder at Wondering, joins us to explore how AI tools are offering innovative real-time AI capabilities that empower product teams to dramatically accelerate their work, drive efficiency, and learn more from every participant.

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.

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.