reOS is an advanced operating system designed to streamline customer research processes by integrating planning, execution, analysis, and action into a cohesive workflow. It enables users to plan studies, conduct interviews, analyze feedback from multiple channels, and trace every insight back to its source. By closing the loop, reOS ensures that research leads to actionable changes, customer notifications, and measurable outcomes.
Key Features and Functionality:
- Plan: An AI research assistant helps develop study plans, formulate precise research questions, and create moderation guides.
- Recruit: Users can recruit participants from CRM-connected panels, manage outreach campaigns, schedule sessions, obtain consent, and handle incentive payments.
- Conduct: The platform supports live interviews with silent observers, AI-moderated interviews at scale, and prototype testing with users.
- Analyze: All data, including interviews, support tickets, emails, and form responses, are processed through the DIVE™ pipeline, ensuring every insight is traceable to its original source.
- Act: Insights are transformed into tracked initiatives, facilitating the implementation of changes, notifying customers, and initiating follow-up studies.
Primary Value and User Solutions:
reOS addresses the common issue of research findings becoming stagnant in reports by providing a dynamic platform that ensures research leads to tangible actions. It eliminates the inefficiencies of using multiple disconnected tools by offering an all-in-one solution for recruiting, scheduling, interviewing, testing, transcription, analysis, and reporting. The platform's human-led AI analysis ensures transparency and traceability, allowing users to validate insights down to the exact moment they were derived. By integrating every aspect of the research process, reOS empowers organizations to make informed decisions, implement changes effectively, and measure their impact, thereby enhancing the overall customer experience.
