Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Great Question: All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository. 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 Great Question when auto-summarizing and tagging interview sessions with ai 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.
All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected 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
Great Question is a UX research platform that consolidates participant recruitment, study setup, and AI analysis into a single workflow for product managers, designers, UX researchers, and research operations teams. On the recruitment side it offers access to a large participant panel, the ability to build customer panels from CRM systems, automated screening, eligibility rules, incentive payments, and a research calendar for scheduling one-on-one, collective, or round-robin interviews. For conducting research it supports moderated user interviews, AI-moderated interviews, unmoderated prototype testing with Figma, surveys, card sorting, tree testing, and focus groups, with observer rooms for live team participation. After sessions, Great Question's AI analysis generates summaries, chapters, highlights, and tags, and builds a searchable research repository where transcripts, themes, highlight reels, and insights are connected so teams can query their entire body of research. It offers a wide range of integrations and an MCP that lets users run and analyze research from AI tools, and meets enterprise requirements with SOC 2 Type II, GDPR, and HIPAA compliance. The platform aims to take research from recruitment through synthesis without stitching together multiple tools. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Great Question is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Great Question |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI analysis generating summaries, chapters, highlights, and tags from interviews |
| Standout feature | Data tagging and note organization | Searchable research repository connecting transcripts, themes, and insights |
| Team usage | Theme and pattern identification across research | Participant recruitment from a large panel plus CRM-based custom panels |
| Integrations | Insight creation and report generation | Scheduling, screening, eligibility rules, and incentive payments |
| Languages & capture | Consistent taxonomy across projects for large repositories | Moderated, AI-moderated, and unmoderated study methods including prototype testing |
| Best-fit workflow | Multi-team collaboration with research history and archival | 50+ integrations plus an MCP for running research from AI tools |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Great Question
Choose Great Question if you need recruiting participants and scheduling user interviews end to end — strengths include handles recruitment, study execution, and analysis in one platform.
Aurelius
Great Question
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Great Question is strong for recruiting participants and scheduling user interviews end to end. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Great Question 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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