Product Research with AI

"Many people in the product community, including myself, actively share their experiences using AI tools to build products. However, far fewer conversations focus on a foundational phase: product research. The quality of product research directly impacts the outcome of the entire design process. As AI tools become increasingly embedded across different phases of the product design process, including the research phase, it's vital to establish a clear, intentional research process that maximizes design efficiency while reducing business risk from poorly informed or incorrect decisions"

"Stage 1: Start with a "Research Brief" Why: It will help you create context both for yourself and AI. And AI works best with context. You don't have to make the research brief too fancy. It's okay to prepare a one-page research brief that will summarize the key points about your research: Product / feature being studied Research goal (decision you want to make based on your research) Target users (who, context of use) Research stage (Exploratory, Concept validation, Usability testing, Post-launch learning, etc)."

AI tools are increasingly embedded across product design phases, including research. The quality of product research directly impacts the outcome of the entire design process. A clear, intentional research process maximizes design efficiency and reduces business risk from poorly informed decisions. A three-stage framework for AI-powered research begins with a Research Brief. The Research Brief creates context for the team and for AI, and can be a concise one-page document. The brief should summarize product or feature, the research goal (decision to be made), target users and context of use, and the research stage (exploratory, concept validation, usability testing, post-launch learning).

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