URAi is an AI-powered user insights platform that enables teams to plan research, collect user feedback through AI interviews, and automatically analyze data to generate actionable reports. By creating a centralized knowledge library, URAi enhances the efficiency of gathering and utilizing user insights, reducing the time and effort required for decision-making in product development.
Funding
Funding not disclosed
Founders
Product
Problem
Teams often struggle to efficiently gather, analyze, and utilize user insights for product development, leading to slow decision-making and missed opportunities. Searching through disparate files and emails for past research further compounds the problem, hindering the ability to leverage existing knowledge.
Solution
URAi is an AI-powered user insights platform designed to streamline the entire user research process, from planning studies to generating actionable reports. The platform enables teams to collect in-depth user feedback through AI-driven interviews, design testing, and quick feedback surveys. URAi automatically transcribes and analyzes user feedback in text, audio, and video formats, providing evidence-based insights and summaries. A centralized knowledge library allows teams to store, search, and leverage past research, fostering collaboration and accelerating the journey from questions to data-driven decisions.
Target Audience
URAi primarily targets product teams, UX researchers, and designers who need to efficiently gather, analyze, and leverage user insights to inform product development decisions.
Features
- AI-powered interviews that adapt questions based on user responses for deeper insights
- Design testing to gather user feedback on websites, prototypes, and product images
- Quick feedback surveys for collecting scalable user input with smart follow-ups
- Automatic transcription and analysis of user feedback in various formats (text, audio, video)
- AI-generated reports with insights linked to evidence and user verbatim
- Centralized knowledge library for storing and searching past research, reports, and product briefs
- Chat-based interface for querying the knowledge library and finding answers using AI
- Team collaboration features for sharing insights and research findings