
RecRam collects structured customer feedback through interactive video forms, then uses AI to analyze responses and enable asynchronous follow-up messaging for research and support teams.
RecRam is a feedback and research platform that uses interactive video forms, AI-powered analysis, and asynchronous messaging to capture richer responses than traditional surveys. It is designed to help teams collect nuanced, qualitative input at scale, while maintaining the structure and measurability of a form-based workflow. By combining face-to-camera responses with guided prompts, RecRam enables more authentic, detailed feedback and significantly higher completion rates than standard text-only questionnaires.
Key capabilities include video-based question flows that respondents can complete on their own time, with branching logic and customizable prompts to adapt to different audiences or use cases. AI analysis automatically transcribes, summarizes, and categorizes responses, reducing the manual effort required to review long-form feedback and making it easier to identify patterns or themes. Built-in async messaging lets you follow up with respondents directly within the platform, clarify answers, or request additional detail without scheduling live calls. The system supports structured data export and integration into existing workflows, enabling teams to combine qualitative insights with quantitative metrics.
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