Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. User Evaluation: AI research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and User Evaluation when generating cited insight reports, clips, and presentation decks matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports.
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
User Evaluation is an AI-powered research platform that automates user and customer research workflows, from recruiting participants and conducting interviews to analyzing findings, within a single workspace. It transcribes audio and video in dozens of languages with speaker labels and custom vocabulary, and processes multimodal inputs including audio, video, text, PDF, and CSV. Its AI analysis uses an agentic chat with a set of tools that cite evidence as it generates insights, identifying pain points, delighters, and themes, automatically tagging mentions, and creating visual summaries. The platform turns research into shareable outputs such as video clips saved as MP4 files, charts including bar, pie, and flow diagrams, editable reports exportable to PDF or DOCX, and presentation decks with native PPTX export. Workflow tools include interview scheduling and recording, live note-taking during sessions, survey creation with both fixed and adaptive chat-style follow-ups, and Kanban-style collections for organizing insights. User Evaluation offers a free tier to start along with paid plans that add capabilities such as white-labeling and SSO. By combining multilingual transcription, evidence-cited AI analysis, and rich exportable outputs, it aims to compress hours of research into customer insight quickly. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); User Evaluation is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | User Evaluation |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Transcription in dozens of languages with speaker labels and custom vocabulary |
| Standout feature | Data tagging and note organization | Multimodal input support for audio, video, text, PDF, and CSV |
| Team usage | Theme and pattern identification across research | Agentic AI chat that cites evidence and identifies pain points and themes |
| Integrations | Insight creation and report generation | Automatic tagging of mentions and visual summaries |
| Languages & capture | Consistent taxonomy across projects for large repositories | Exportable outputs: MP4 clips, charts, PDF/DOCX reports, and PPTX decks |
| Best-fit workflow | Multi-team collaboration with research history and archival | Interview scheduling, recording, and live note-taking |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
User Evaluation
Choose User Evaluation if you need transcribing and analyzing multilingual research interviews — strengths include evidence-cited ai analysis keeps insights traceable to sources.
Aurelius
User Evaluation
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while User Evaluation is strong for transcribing and analyzing multilingual research interviews. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and User Evaluation is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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