Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Outset: AI-moderated research platform that runs multimodal interviews at scale and auto-synthesizes themes, quotes, and highlight reels. 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 Outset when continuous customer discovery with rapid automated synthesis 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-moderated research platform that runs multimodal interviews at scale and auto-synthesizes themes, quotes, and highlight reels.
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
Outset is an all-in-one AI-moderated research platform that combines conversational AI with behavioral and emotional analysis to run qualitative interviews at scale. Its AI moderator conducts natural, adaptive conversations via video, voice, or text, dynamically probing based on audio and visual cues to uncover detail beyond surface-level answers, and supports interviews in effectively any language across a broad set of countries. Researchers set up interview guides quickly with help from automated logic, including advanced probing rules and intelligent question skipping, and the platform can field hundreds of interviews simultaneously. Built-in recruitment provides access to a very large pool of potential participants across many geographies, or teams can bring their own audience. After interviews complete, Outset automatically synthesizes results into relevant summaries, themes, powerful quotes, and customizable highlight reels without manual tagging, and generates shareable outputs including custom AI-generated reports, highlight reels, and slide decks for stakeholders. Most teams complete interviews within hours and receive AI-synthesized summaries minutes later. The company is venture-backed and reports adoption by large enterprises using the platform to accelerate or replace traditional market research methods. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Outset is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Outset |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI moderator conducting multimodal video, voice, and text interviews |
| Standout feature | Data tagging and note organization | Dynamic probing driven by audio and visual cues |
| Team usage | Theme and pattern identification across research | Automated interview-guide setup with probing rules and smart skipping |
| Integrations | Insight creation and report generation | Hundreds of simultaneous interviews with built-in recruitment |
| Languages & capture | Consistent taxonomy across projects for large repositories | Automatic synthesis into summaries, themes, quotes, and highlight reels |
| Best-fit workflow | Multi-team collaboration with research history and archival | Stakeholder outputs including custom reports and slide decks |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Outset
Choose Outset if you need running large-scale qualitative interviews for market research — strengths include runs large volumes of interviews in parallel with fast synthesis.
Aurelius
Outset
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Outset is strong for running large-scale qualitative interviews for market research. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Outset 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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