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Rival Technologies Unveils Features to Modernize Research, Agility

Rival

Latest upgrades help insight teams scale conversational, AI-powered research with real-time data, broader reach, and faster analysis

Rival Technologies, the leader in conversational research, has introduced a series of product enhancements aimed at modernizing the research process and accelerating adoption of mobile-first, AI-enabled methods.

“These updates are about giving insight teams what they actually need right now,” said Andrew Reid, founder and CEO of Rival Technologies. “Smarter recruitment, easier community management, new distribution channels, AI that actually saves you time and respects the participant experience. We’re building tools that help researchers move faster and dig deeper, without losing what makes this work human.”

The latest release reflects Rival’s continued focus on practical innovation, introducing tools that make it easier to recruit the right participants, manage communities, distribute surveys, and analyze results, all in one streamlined platform that handles quant, qual and video responses.

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Firstly, Rival has expanded its AI capabilities to help researchers move from raw data to insights faster, including its new Unstructured Data Agent (UDA). UDA brings together Rival’s proprietary tools to transform open-ended survey feedback into actionable insights. Purpose-built for researchers, it enables scalable qual analysis embedded in quant workflows. Rival’s Multi-Agent AI Framework, announced earlier this year, is a modular, scalable system of AI Agents designed to enhance every stage of the research process.

In addition, new features have been added which include:

Brands such as ŌURA, Carnival Corporation, Time Out, Kellanova, Warner Bros. Discovery, and Cash App have embraced Rival‘s conversational approach, citing improved speed, agility, and data richness. Clients report completion rates above 90% and an 800% increase in response depth when video and probe are used.

Source: PRNewswire

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