Ween.ai is an AI product discovery platform that focuses on turning customer qualitative data into actionable insights. The platform offers several features to assist different roles within a product development team. For product managers, Ween.ai eliminates the need for manual analysis of user feedback. Its cutting-edge AI technology allows for effortless data analysis with a level of accuracy that is comparable to human capabilities. This enables product managers to quickly construct an “opportunity solution tree” and uncover new opportunities.UX researchers can empower their research analysis with AI. Ween.ai’s AI is trained on best User Research practices and methods, including Atomic Research and Jobs to be Done framework. It even helps identify biased questions and answers, enhancing the quality and reliability of research findings.Product designers benefit from Ween.ai’s AI capabilities by enabling a better understanding of the problem space and empowering the design process. Comprehensive research, incorporating user insights, is facilitated by the AI platform.For product leaders, Ween.ai transforms research from a potential bottleneck into a catalyst. The AI empowers decision-making by providing evidence-based insights that create value for both customers and the business.Ween.ai automates the analysis of customer interviews. It provides transcriptions in any language and automatically extracts important highlights such as pain-points, habits, and needs. Assumption-testing can be automated by continually scanning interviews and associating relevant highlights as evidence to support or refute assumptions.The platform also helps align research with business goals, provides a centralized repository for evidence-based insights, and allows easy tracking of business target outcomes. The platform aims to bring transparency to research by enabling deep dives into the evidence supporting any insight.Ween.ai is designed by product lovers, for product lovers, with the aim of continually improving the product and better understanding users.