Trill, developed by Intellibase, is an AI-driven research assistant designed to expedite the user research process. By analyzing interview data, Trill generates relevant insights and observations aligned with your project objectives, serving as a foundation for deeper analysis.
This approach streamlines the research workflow, enabling teams to derive meaningful conclusions more efficiently.
Beyond initial insights, Trill identifies common themes and categories within your data, eliminating the need for manual coding of transcripts. This feature allows researchers to explore various groupings of information instantly, facilitating a comprehensive understanding of user feedback.
With Trill, organizing and sharing findings becomes a seamless process, enhancing collaboration and decision-making across teams.
