Agentic & Conversational AI

• Agentic & conversational AI technology overview
• Types of solutions
• Key features
• Next frontiers

AI is changing how research gets done, but it’s hard to tell what actually works from the hype. Eric Knoben, Head of Insights at Listen Labs and former President of Emerald Research Group, opens up Listen and runs a study live: building the discussion guide, recruiting participants, letting the AI moderator interview real people in depth, and turning those conversations into findings you can trace back to the source. You’ll see what an AI-moderated interview actually looks like and where the researcher stays in control.

Shallow responses leave you guessing at the “why.” Rich open-ended feedback takes time to turn into a clear, compelling story. And even after all that work, valuable research can sit unused when teams can’t easily access or explore it.

Join Mireia Peace, Solutions Director, and Maddy Wilson, Director, Product Marketing, for a practical demo of how Rival Technologies’ conversational research platform and agentic AI capabilities help tackle these everyday research challenges.

They’ll demonstrate how Smart Probe uses Rival’s proprietary Thoughtfulness Score to assess response quality and probe deeper with tailored questions informed by the study’s objectives and each participant’s answer. See how the Insight Summarizer helps bring findings together across large volumes of open-ended responses, and how Insight Reels helps researchers tell compelling stories through participants’ own words and video.

Already using an enterprise AI tool? Rival MCP connects Rival research data to your organization’s approved enterprise AI tools, making it easier for you to ask questions, explore findings and incorporate consumer insights into your work.

See AI in action across three practical priorities: deeper responses, stronger storytelling and broader access to research.

That study from last quarter may already answer this week’s question, but it’s filed in a folder nobody opens, so the team starts a new project from scratch. Continuous intelligence means your research doesn’t end after the presentation. Every study stays relevant and adds to the foundation your research is built on. In this live demo, we’ll take a real business question and follow it through Discuss. You’ll watch Discuss Intelligence search every past study for a sourced answer, flag where the existing knowledge falls short, and launch the right qual, quant, or AI-moderated study to fill the gap. The new results flow straight back into the workspace, so each study builds on the last, with the researcher steering every step.

Most research still builds questions defined before the respondent ever starts talking. Even open-ended questions often capture only the first layer of an answer, with no researcher present to recognize what is interesting, clarify what is unclear, or ask the follow-up that could uncover the real “why.”

Reveal AI brings AI-powered active listening into the research experience. Using the researcher’s objectives and each respondent’s answers, Reveal determines the most relevant next question and adapts the conversation in real time—while the researcher remains in control of the depth, objectives, and guardrails.

You'll hear what insights professionals and research clients value most when using Reveal AI in studies from concept testing to segmentation and why Mindsight makes it the default in every quant project.

You'll see a demo of how adaptive probing can turn static open ends into richer conversations, and how Reveal is extending active listening across text, voice, and longer AI-moderated research experiences.