Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. 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 Dscout when capturing in-context diary studies and video feedback matters most. Try them side by side on real calls before deciding — needs vary by team.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis.
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
Dscout is an experience research platform that pairs human participant feedback with AI tools to help teams gather and analyze qualitative insights at scale. It supports a range of research methods, including live and uploaded moderated interviews, usability testing with heat maps and task success metrics, real-time site intercepts, field studies, diary studies with multiple activities, and media-rich surveys. For interviews, Dscout simplifies scheduling across time zones, integrates incentives, supports observers, and can capture both a participant's face and screen, and it also offers an AI Moderator that can autonomously guide participants, seek clarification, and capture feedback. On the analysis side, Dscout provides automated transcription, AI-generated summaries of open-ended and video responses, AI-generated themes presented as smart tags for pattern identification, and surfacing of notable moments that highlight strong opinions or surprising insights. Teams can recruit from Dscout's verified Scout participant pool or bring their own audience. Known historically for mobile and in-context research, Dscout positions itself as an AI-native platform that helps researchers capture high-fidelity feedback and move quickly from raw sessions to organized, analyzable insights. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Dscout is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Dscout |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Moderated live and uploaded video interviews with observer support |
| Standout feature | Data tagging and note organization | AI Moderator that dynamically guides participants and captures feedback |
| Team usage | Theme and pattern identification across research | Automated transcription of interviews and responses |
| Integrations | Insight creation and report generation | AI-generated summaries of open-ended and video responses |
| Languages & capture | Consistent taxonomy across projects for large repositories | AI-generated themes as smart tags and surfaced notable moments |
| Best-fit workflow | Multi-team collaboration with research history and archival | Diary studies, usability testing, intercepts, and media-rich surveys |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Dscout
Choose Dscout if you need running and transcribing moderated user interviews — strengths include supports many research methods beyond interviews in one platform.
Aurelius
Dscout
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Dscout is strong for running and transcribing moderated user interviews. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Dscout 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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