What does reOS do and what problem does it solve?
reOS is the operating system for customer research that helps teams plan studies, run interviews, analyze feedback, and trace insights to their source. It solves the problem of research findings getting stuck in static slide decks, disconnected from the actions taken and customers involved.
What features, surfaces, or integrations does reOS offer?
reOS offers a five-stage research loop: Plan (with an AI research assistant), Recruit (with CRM-connected panels and outreach campaigns), Conduct (for live interviews and moderated testing), Analyze (with the DIVE™ pipeline for traceable insights), and Act (to ship changes and notify customers). It emphasizes human-led AI analysis where every claim is auditable to its source.
How is reOS priced or packaged?
The evidence states that reOS has simple unit pricing, but it does not specify the exact cost or packaging tiers.
What is reOS used for and in what situations?
reOS is used for end-to-end customer research workflows, including planning, recruiting, conducting interviews, and analyzing feedback. It is used when teams need to close the loop by turning insights into tracked initiatives, notifying customers, and measuring the impact of changes.
Who is reOS for?
reOS is for teams conducting customer research, such as researchers and product teams who need to run interviews, analyze multi-channel feedback, and ensure insights lead to action. It is designed for organizations whose research processes are currently spread across multiple disconnected tools.
What is reOS?
reOS is an AI-assisted research operating system designed for customer research and analysis, aiming to close the loop between research insights and product action.