Marvin is an AI-powered research software designed to streamline the process of collecting, organizing, and analyzing qualitative data. This platform serves as a centralized location for all user research data, making it easily searchable and shareable.
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HeyMarvin is an AI-native customer insights platform that enables product teams, UX researchers, and designers to conduct research, analyse qualitative data, and extract decision-ready insights at a scale and speed that would require a team ten times larger to achieve manually.
By automating the most time-consuming aspects of research transcription, tagging, theme identification, and report generation Marvin compresses weeks of traditional research cycles into hours.
The platform runs AI-moderated interviews in 40+ languages, conducting structured conversations with research participants, capturing live sessions with automatic transcription, and analysing responses immediately after completion.
This removes the scheduling, moderation, and post-processing overhead from qualitative research at scale allowing teams to gather insights from hundreds of participants with the same rigour and consistency as a manually moderated session.
Marvin's qualitative data analysis engine automatically quantifies qualitative inputs: themes are grouped automatically, sentiment is measured across all responses, key patterns and emerging trends are identified across the full dataset, and structured reports with cited findings are generated without researcher intervention.
Deep Research takes this further as an automated analysis mode that processes an entire project's data and produces custom structured reports a set-it-and-forget-it research synthesis capability.
The research repository functions as an institutional memory for customer knowledge: all research data interviews, survey responses, user feedback, support conversations, and sales call recordings is stored, tagged, and searchable in one place.
An AI research assistant answers questions across the entire repository with point-level citations, making existing research reusable rather than siloed in individual researchers' notes or forgotten after each project.
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Marvin is an AI-powered research software designed to streamline the process of collecting, organizing, and analyzing qualitative data. This platform serves as a centralized location for all user research data, making it easily searchable and shareable. One of its main features is the capability to analyze hours of research in mere minutes, highlighting its efficiency and time-saving capabilities. Marvin employs advanced AI to automate various tasks in qualitative research, thereby freeing users to focus on uncovering rich insights about their customers' needs. It includes functions such as precise time-stamping of notes and a built-in repository for interviews, transcripts, notes, and other research artifacts. Furthermore, Marvin can consolidate user insights, aiding in pattern recognition that might otherwise be missed. The platform is also equipped with features for creating and sharing concise reports and clips, enabling users to present findings eloquently and efficiently. It also assists with the management of user interview panels and participant recruitment, facilitating user data tracking within a single platform. Marvin supports transcription in multiple languages and safeguards user data in compliance with HIPAA, GDPR, and SOC2 standards. Its capabilities extend to automating the tagging and analysis of data, removing personal information from user interviews for privacy, and integrating various types of data into the research repository. Alternatives: Prowl, Steve, LuminixAI, Parliant.AI, Farol, ASOfuel, HintGo
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