Capysan

Capysan is a platform for user research that utilizes digital twins based on real, anonymized human data. It is designed to provide authentic feedback and insights by creating personas that reflect actual human experiences, rather than relying on synthetic outputs or generic language models. The tool emphasizes the use of real human foundations for its digital twins, claiming that each persona is backed by private knowledge derived from real individuals, which allows for more consistent and contextually grounded responses.

The user research process with Capysan involves three main steps. First, users describe their target audience in natural language, specifying criteria such as demographics, interests, and experience. Capysan then automatically recruits personas that match these descriptions. Next, users can conduct interviews or distribute custom surveys, including the option to use Google Forms, to gather feedback from these authentic personas. Finally, the platform provides tools to review responses, identify patterns, and draw data-backed conclusions. Reports can be exported and insights shared with team members.

Capysan positions itself for founders and marketers seeking to conduct user research with increased authenticity and reliability. The platform distinguishes itself from approaches that use large language models to simulate personas, highlighting its focus on real human data and authentic perspectives.