Tell us about your product concept, target audience, and what you want to learn.
Use our built-in personas or create your own with AI. Define personality traits, backstories, and behaviors — then reuse them across sessions.
Run AI-powered interviews and receive structured feedback, pain points, and recommendations.
Start for free with our basic model, or connect your own OpenRouter API key for access to more powerful models.
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Explore real research sessions to see how Idea research works.
Idea Research is a session-based research engine that generates synthetic user personas to pre-validate product concepts before market launch. Instead of waiting weeks to recruit and interview real users, teams can conduct AI-powered interviews with realistic synthetic personas who ask probing questions and provide honest, critical feedback about product ideas. The tool creates research sessions where users describe their product concept, target audience, key features, and constraints. It then generates diverse personas with unique backgrounds, experience levels, and psychological traits (using the OCEAN personality model) who conduct structured interviews at configurable depth levels. Each persona challenges assumptions, identifies potential objections, and provides sentiment-analyzed feedback with key insights extracted automatically. The system uses RAG (Retrieval-Augmented Generation) to ground all persona responses in the actual product context, ensuring relevant and specific feedback rather than generic responses.
Goal: Understand if product managers and startup founders would find value in AI-simulated user interviews for early product validation, what depth of feedback they need to make decisions, and whether synthetic personas can build enough trust to influence real product direction.
Idea Research is a session-based research engine that generates synthetic user personas to pre-validate product concepts before market launch. Instead of waiting weeks to recruit and interview real users, teams can conduct AI-powered interviews with realistic synthetic personas who ask probing questions and provide honest, critical feedback about product ideas. The tool creates research sessions where users describe their product concept, target audience, key features, and constraints. It then generates diverse personas with unique backgrounds, experience levels, and psychological traits (using the OCEAN personality model) who conduct structured interviews at configurable depth levels. Each persona challenges assumptions, identifies potential objections, and provides sentiment-analyzed feedback with key insights extracted automatically. The system uses RAG (Retrieval-Augmented Generation) to ground all persona responses in the actual product context, ensuring relevant and specific feedback rather than generic responses.
Goal: Understand if product managers and startup founders would find value in AI-simulated user interviews for early product validation, what depth of feedback they need to make decisions, and whether synthetic personas can build enough trust to influence real product direction.