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"

"In this article, I want to share a 3-stage framework I use for AI-powered research. 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:"

Many product teams prioritize AI-enabled product development but often overlook foundational product research. High-quality research shapes design outcomes and reduces business risk from poor decisions. A clear, intentional research process is essential as AI becomes embedded across design phases. Use a three-stage AI-powered research framework. Begin with a concise Research Brief that creates context for both researchers and AI. The brief can be a single page and should list the product or feature under study, the research goal and decision it will inform, defined target users and their context of use, and the research stage such as exploratory, concept validation, usability testing, or post-launch learning.

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