用AI做深度用户访谈，获蓝驰、高瓴、王慧文投资

Core Insights - Trooly.AI, an AI-native user research platform, has raised nearly $10 million in seed funding within four months of its establishment, with investors including BlueRun Ventures, Hillhouse Capital, and Wang Huiwen [2] - Unlike many narratives surrounding AI companionship, Trooly.AI aims to create a genuine business loop by focusing on deep qualitative user interviews for B2B clients, utilizing multi-modal Voice Agent technology [2][6] - The founders, Wang Zhen and Sun Hao, previously worked at Zulution AI and have leveraged their experiences to identify the importance of user stories in product decision-making [5][6] Company Overview - Trooly.AI's core product allows B2B clients to conduct user research efficiently, reducing the time from project initiation to data delivery to as little as 24 hours [9][14] - The platform emphasizes deep qualitative interviews lasting around 45 minutes, which are designed to elicit emotional and personal user stories rather than just factual data [10][11] Market Positioning - Trooly.AI differentiates itself from competitors by focusing on real user interactions rather than virtual or simulated users, which enhances the authenticity of the insights gathered [18] - The platform's feedback speed is reported to be approximately 30 times faster than traditional user research methods, significantly reducing costs and time for clients [14][15] Technology and Methodology - The AI's ability to conduct interviews relies on its understanding of emotional cues and the ability to create a comfortable environment for users, which is crucial for gathering genuine insights [17][19] - Trooly.AI's interface is designed to minimize social pressure, allowing users to share their stories more freely compared to traditional human interviewers [19] Founders' Background - The founders' previous experiences at Zulution AI, particularly in AI companionship, have informed their approach to user research, emphasizing the need for emotional engagement during interviews [22][24] - Their journey included several failed attempts at different AI applications before realizing the value of user stories in product development [5][6] Investment and Future Goals - The seed funding round included strategic advice from Wang Huiwen, highlighting the competitive nature of the AI landscape and the necessity for a robust business model [32][33] - Trooly.AI's mission is to bridge the gap between consumer insights and product decision-makers, aiming to reduce resource wastage and enhance product utility [37][38]