This release introduces a powerful new way to streamline your user research workflow. With new project templates and AI-powered analysis, you can now automatically transform raw user interview videos into structured, actionable insights. These features are designed to save you time and help you validate hypotheses faster.
You can now create a dedicated Customer Interviews project type to organize your research. This template prompts you to define your Business Problem, Research Goals, and Hypotheses upfront. Providing this context allows our AI to generate more accurate and relevant insights from your interview data.

After you upload your user interview videos, Hinto automatically processes each one to map evidence back to your hypotheses. The system analyzes the conversation to determine whether a hypothesis was confirmed, rejected, or simply mentioned. This creates a detailed breakdown for each individual interview, saving you hours of manual review.

Hinto generates several reports to help you synthesize your findings. In addition to reports for each interview, you can generate a Hypothesis Validation Summary that aggregates insights from all your interviews. This summary report provides a high-level overview of your research, making it easy to share key takeaways with your team and stakeholders.
This release transforms how you handle user research by automating the entire analysis process. By setting the context, uploading your videos, and letting the AI do the heavy lifting, you can move from hours of interviews to clear, validated insights in a fraction of the time. This helps your team make data-driven decisions more quickly and efficiently.
Try it for free by signing up to Hinto AI here.
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