Marvin is a qualitative user research platform that centralizes and organizes user insights through automated transcription, tagging, and analysis, enabling teams to efficiently manage and share research findings. By streamlining the research process, Marvin allows users to quickly uncover actionable insights from interviews and other data sources, reducing the time spent on manual documentation and analysis.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
APFCFounders
Product
Problem
Qualitative user research involves time-consuming manual processes for transcribing interviews, tagging key insights, and synthesizing findings. This often leads to delays in extracting actionable insights and sharing them effectively with the broader team. Existing research repositories can be disorganized and difficult for non-researchers to navigate.
Solution
Marvin is an AI-powered user research platform that centralizes and streamlines the qualitative research workflow. It automates transcription of user interviews in over 40 languages, enabling researchers to quickly generate accurate transcripts. The platform uses AI-assisted tagging to identify key themes and insights within the data, saving time on manual analysis. Marvin also facilitates the creation of shareable highlight reels and interactive reports, making research findings accessible to stakeholders across the organization.
Target Audience
Marvin is designed for product designers, UX researchers, research and management consulting firms, and students conducting academic research.
Features
- Automatic transcription of user interviews in 40+ languages
- AI-powered tagging and analysis to identify key insights
- Time-stamped notes for precise referencing of interview moments
- Centralized repository for storing interviews, transcripts, notes, and reports
- Video clip and highlight reel creation for easy sharing of key insights
- Privacy filters to automatically remove personal data from user interviews
- Integrations for surveys, audio, video, and other data types
- HIPAA, GDPR, and SOC2 compliance for data protection