Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. HeyMarvin: AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and HeyMarvin when product teams clustering interview feedback into shareable themes matters most. Run both through a week of actual calls to see which suits your workflow.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. Pricing varies by plan. Check the official website for current pricing.
Best suited for
HeyMarvin (Marvin) is an AI-native customer insights platform aimed at user-research and product teams, with the research interview as its central meeting type. During live user-research calls it records sessions, transcribes them automatically, and lets researchers capture time-stamped notes and highlights, including collaborative live note-taking with teammates. After the session, its AI workflows distill feedback into themes and patterns, and an Ask AI feature lets teams query their data and get answers with citations back to the source clips. Everything feeds a centralized, searchable research repository that brings qualitative and quantitative inputs together from many sources, so insights are not scattered across documents and recordings. The platform also offers AI-moderated interviews in multiple languages, video clips and curated playlists for sharing findings, and integrations with tools used to distribute insights. It includes privacy and security features such as PII redaction and enterprise compliance. For a meeting-tools directory, its relevance is the combination of interview capture, AI notetaking, and a repository tuned for analyzing user-research conversations rather than general meetings. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); HeyMarvin is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | HeyMarvin |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Records and automatically transcribes user-research interview calls |
| Standout feature | Data tagging and note organization | Time-stamped notes and collaborative live note-taking during sessions |
| Team usage | Theme and pattern identification across research | AI thematic analysis that clusters feedback into themes and patterns |
| Integrations | Insight creation and report generation | Ask AI querying across research data with citations to source clips |
| Languages & capture | Consistent taxonomy across projects for large repositories | Searchable centralized research repository combining many data sources |
| Best-fit workflow | Multi-team collaboration with research history and archival | Video clips, highlight reels, and insight reports for sharing findings |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
HeyMarvin
Choose HeyMarvin if you need ux researchers transcribing and tagging user-interview calls — strengths include tailored to user-research interviews rather than generic meeting notes.
Aurelius
HeyMarvin
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while HeyMarvin is strong for ux researchers transcribing and tagging user-interview calls. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and HeyMarvin is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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