Product Context Analyzer (PCA) is an AI-powered tool that automates LLM-based user research, enabling product teams to quickly discover and analyze the context in which a product is used. With just a single prompt or an uploaded interview transcript, PCA generates structured user research outputs that match the quality and format expected by professional design and product teams, enabling immediate integration into established workflows. Outputs include as-is scenarios, personas, empathy maps, user journey maps, desired outcomes, detailed task flows, user requirements, and user stories.

By dramatically reducing the need for time- and labor-intensive primary research, PCA allows teams to continuously learn about user needs without requiring specialist skills or deep expertise in user research methods. This approach helps product teams move efficiently from early ideas to actionable design with a clear understanding of user requirements.

In this session, we will demonstrate how PCA transforms a single input prompt into a structured knowledge graph that connects high-level strategic insights with detailed task flows and user stories.