UX’s future: Multi-agent research platforms - Interview with John Provine, Voicepanel
John Provine, Co-Founder & CEO at Voicepanel, explains how Voicepanel embeds research into product workflows with customizable AI agents and continuous discovery, redefining how teams learn from users.
From Decks to Dashboards: Reimagining Research Sharing - Interview with Ryan Glasgow, Sprig
Ryan Glasgow, Founder and CEO at Sprig, reveals how AI is transforming research from static reports to real-time, team-wide insight engines.
Democratizing UX Research Using AI - Interview with Shrey Khokhra, Userology
Shrey Khokhra, Co-founder at Userology, explains how AI is redefining UX research by empowering non-researchers with AI that can design research for you and has visual understanding to expand AI moderation into the realm of usability testing.
Research, Reimagined with AI Agents - Interview with Jason Brand, Usedge
Jason Brand, Co-founder & CEO at Usedge. Jason Brand shares how AI tools are enabling researchers to work more strategically and helping product teams gain faster, self-serve access to insights.
AI-Powered Research: From Data to Decisions Faster - Interview with Marco Rovagnati, Quallie.Ai
Marco Rovagnati, Co-Founder at Quallie.Ai, shares how AI-powered research tools are eliminating tedious UX research and product discovery tasks, making insights more dynamic and actionable, and ensuring research remains accessible for strategic decision-making.
AI as Your Research Partner, Not a Replacement - Interview with Tanya Berlina, Yasna.ai
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.
How AI Is Changing UX Research Roles and Workflows - Interview with Eric Li, Versive
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.
How AI is Revolutionizing Product Discovery - Interview with Kene Anoliefo, Heard
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.
The Future of UX Research: AI-Mediated Conversations | Interview with Matteo Cera, Glaut
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.
How AI for Research Lets Product Teams Focus on Strategy | Interview with Natan Voitenkov, Genway AI
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.
AI in Participant Recruitment is Transforming UX Research | Interview with Basel Fakhoury, User Interviews
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.
Understanding “the Why” Behind NPS Metrics Moves | Interview with Ben Hookway, Relative Insight
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.
The AI Research Skills You Need in 2025
This guide highlights the essential AI research skills for 2025, practical applications of AI, and key considerations to help UX professionals excel in this rapidly evolving field.
dscout + AI: Smarter, Faster, and More Human-Centric Research | Interview with Jonathan Fairman
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.
Increasing the Impact of UX Research with AI-Powered Insights | Interview with Michael Bamberger, Tetra
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.
Get Insights in Hours and Virtual Consumer Feedback | Interview with Kathryn Topp, Yabble
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.
AI Tools That Merge Research Speed with Human Insight | Interview with Jack Bowen, CoLoop
Jack Bowen, Founder at CoLoop, discusses the future of qualitative research and how Coloop uses AI to elevate research processes without taking over.
The Future of Product Discovery: AI-Driven Workflows and AI-Enhanced Creativity | Interview with Tash Ahmed, User Evaluation
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.
AI Agents for Market Research: A New Era for Consumer Insights? | Interview with Chad Reynolds, Vurvey
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.
Taming the CX data deluge - AI-Powered User Insights | Interview with Arnob Mukherjee, Olvy
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.