What is reOS
reOS is an operating system for customer research that enables teams to plan studies, run interviews, analyze feedback from every channel, and trace every insight to its source. It closes the loop by allowing teams to ship changes, notify customers, and measure impact.
How to use reOS
- Plan – Use the AI research assistant to turn a question into a study plan, research questions, and a moderation guide.
- Recruit – Pull participants from a CRM-connected panel, run outreach campaigns, schedule, consent, and pay incentives.
- Conduct – Run live interviews with silent observers, moderate at scale with AI, or conduct prototype testing.
- Analyze – Use the DIVE™ pipeline (Decode, Improve, Validate, Enrich) to analyze interviews, tickets, emails, and forms. Every insight is traceable to its source.
- Act & close the loop – Insights become tracked initiatives. Ship the change, notify customers who asked, and invite them into follow-up studies.
Features of reOS
- Planning assistant – Generates study plans, research questions, and moderation guides.
- Panel & campaigns – Recruit from CRM, schedule, consent, and handle incentives.
- Live interviews – Browser calls with silent observers, recorded and transcribed.
- AI-moderated interviews – Run 50 interviews in the time of 5 human-led ones.
- Prototype testing – Task-based unmoderated tests with screen and voice recording.
- Omnichannel ingestion – Connect support tickets, forwarded emails, feedback forms, video/audio, transcripts, and whole datasets.
- DIVE™ analysis pipeline – Decode, Improve, Validate, Enrich – each stage checks the last to prevent hallucinations.
- Chat with your data – Ask questions across all studies and channels; answers come with citations.
- Research coaching – Built-in feedback after interviews to catch leading questions and bias.
- Reports & docs – Block-based reports built from validated insights with AI, citations intact.
- Traceability – Click any insight to land on the exact second of an interview or line of a ticket.
Use Cases of reOS
- Product teams – Understand why users churn in week two by analyzing interviews, support tickets, and usage data together.
- UX researchers – Plan, conduct, and analyze studies in one platform, with AI assistance and traceable insights.
- Customer experience teams – Aggregate feedback from multiple channels (email, forms, calls) and identify recurring issues.
- Enterprise research – Scale research with AI-moderated interviews and omnichannel ingestion while maintaining auditability.
