Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Dovetail: Customer insights platform that centralizes interviews and feedback, with AI transcription, analysis, search, and a research repository. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Dovetail when building a searchable repository of customer insights 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.
Customer insights platform that centralizes interviews and feedback, with AI transcription, analysis, search, and a research 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
Dovetail is a customer insights and research platform that centralizes qualitative data from user interviews, sales calls, support tickets, and research studies into a single repository powered by AI. Teams can upload or import interview recordings and let Dovetail handle AI transcription, then analyze the material to turn raw feedback into structured intelligence. Its AI capabilities include automatic analysis, AI chat and search across customer data, AI dashboards that visualize trends alongside business metrics, and AI docs for creating shareable outputs. The research repository organizes studies, transcripts, tags, and highlights so insights remain searchable and reusable across projects, and highlight reels let teams clip and share video evidence of key moments. Dovetail supports transcription in multiple languages and includes redaction of sensitive information for privacy. It connects to other tools through integrations and an API so customer signals can flow across a team's stack. Used by product, design, research, and customer experience teams, Dovetail aims to replace assumption-based decisions with evidence drawn directly from customer conversations and feedback. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Dovetail is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Dovetail |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI transcription of interview and meeting recordings |
| Standout feature | Data tagging and note organization | Automatic analysis that turns raw feedback into structured insights |
| Team usage | Theme and pattern identification across research | AI chat and search across all customer data |
| Integrations | Insight creation and report generation | Research repository for transcripts, tags, and highlights |
| Languages & capture | Consistent taxonomy across projects for large repositories | Highlight reels and video clips of key moments |
| Best-fit workflow | Multi-team collaboration with research history and archival | AI dashboards, AI docs, and sensitive-information redaction |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Dovetail
Choose Dovetail if you need transcribing and analyzing user research interviews — strengths include centralizes interviews and feedback from many sources in one repository.
Aurelius
Dovetail
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Dovetail is strong for transcribing and analyzing user research interviews. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Dovetail 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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