Generative AI for Product Managers: Customer Research and Insights

Understanding your users is the core of successful product management, but sorting through endless feedback, surveys, and interview transcripts can take weeks. Modern generative AI tools offer a powerful way to accelerate this process, allowing you to extract deep insights in minutes rather than days. This course guides you through the foundational concepts of using artificial intelligence to supercharge your customer research workflow. You will transition from manual analysis to an AI-assisted approach, enabling you to identify user pain points, synthesize qualitative data, and make data-driven product decisions with greater speed and precision. What you'll learn: Understand the foundational concepts of generative AI and how large language models process user research data; Apply prompt engineering techniques specifically tailored for customer discovery, interview synthesis, and feedback analysis; Analyze unstructured qualitative data, such as support tickets and user transcripts, to uncover hidden pain points; Create realistic, data-informed user personas and journey maps using AI assistance while avoiding common biases; Evaluate the ethical considerations and privacy risks of inputting customer data into AI tools; Validate AI-generated insights against real-world user behavior to ensure product-market fit. We begin with the core terminology of AI and prompt design before moving into practical workflows for summarizing feedback, generating personas, and synthesizing interview notes. You will read real-world scenarios and complete written exercises designed to build your confidence in using AI ethically and effectively. This course is designed for aspiring and practicing product managers, product designers, and researchers who are new to generative AI. No prior technical or programming background is required. Start reading today to transform how you understand, analyze, and build for your target audience.