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Trill.so is an AI-driven research assistant that accelerates the user research process by generating insights and identifying themes from interviews, facilitating quicker analysis and reporting.
Trill.so streamlines user research by leveraging artificial intelligence to analyze interview data swiftly. The platform provides researchers with immediate insights and observations aligned with project objectives, reducing the time spent on manual data coding. It identifies common themes and categories across interviews, enabling deeper analysis and understanding. Upcoming features include customizable templates and a Notion-like editor to organize findings into comprehensive reports for stakeholders, enhancing the efficiency and effectiveness of the research process.
Receive instant observations and key takeaways from interviews, tailored to specific project goals.
Quickly uncover common patterns and groupings in qualitative data without manual coding.
Utilize forthcoming templates and an intuitive editor to compile and share research findings seamlessly.
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