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reOS review

#9 of 33 in AI User Research Tools

A broad research workspace spanning recruitment, interviews, testing, analysis, and repositories.

8.6/10Editor score
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reOS8.6 Visit reOS

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

reOS is a research operating system for customer and UX research teams. It brings study planning, participant recruitment, scheduling, consent tracking, browser-based interviews, AI moderation, transcription, unmoderated prototype tests, surveys, feedback forms, and research repositories into one workspace. Teams can recruit through CRM-connected panels or external pools, then analyze interviews, support tickets, emails, forms, and datasets with DIVE AI. It is suited to organizations that need a shared system for running research and connecting findings to initiatives and shipped changes.

Pricing is paid-only, with Researcher starting at $59 per month for 12 research units, 3 full seats, 20 projects, a panel of up to 500 contacts, unlimited viewers, and unlimited storage. Annual billing displays Researcher at $49 per month, with two months free. Team costs $249 monthly or $208 monthly with annual billing, adding 60 research units, 15 full seats, unlimited projects, and a panel of up to 5,000 contacts. Scale costs $999 monthly or $833 monthly annually, with 300 research units, 40 full seats, a panel of up to 25,000 contacts, single sign-on, and priority support. Enterprise adds custom units at scale, SAML SSO, SCIM provisioning, PII removal, a custom domain, white label, and dedicated support.

The platform’s breadth is its defining choice. Research teams can move from AI-assisted planning to live observation, recording, transcription, source-linked synthesis, cross-project semantic search, reports, documents, and repository management without narrowing the workflow to one study type. Integrations include Gong, Intercom, Front, Slack, Zendesk, Google Meet, Zoom, Microsoft Teams, Linear, Jira, GitHub, HubSpot, Salesforce, Snowflake, and Google Calendar, with web and API access. Choose reOS when research operations, evidence management, and multiple study formats matter together. Teams seeking a free starting point or a narrower, usage-light tool should look elsewhere.

reOS pros and cons

  • Where it wins
    • Combines live, AI-moderated, and unmoderated research methods
    • Links DIVE AI insights to source evidence across projects
    • Connects participant panels, outreach, research, and business tools
  • Where it doesn't
    • No free plan for evaluating the product
    • Research units, rather than participants, drive primary usage limits
    • Single sign-on starts on Scale; SAML SSO and SCIM are Enterprise features

reOS fact sheet, pricing and score →

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