Human Survey is an API and MCP server designed for self-reported attribution, helping product hosts ask users 'How did you hear about us?' at critical points like signup or payment flows. It provides actionable channel attribution data, especially for sources where digital tracking fails (e.g., TikTok, Instagram, podcasts, word of mouth). Its architecture is API-first, making it ideal for developers, data analysts, and teams needing to embed attribution forms and analyze response data programmatically rather than through a traditional dashboard.
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Explore example implementations and use cases for integrating Human Survey into applications.