"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:"
Product research quality directly impacts the outcome of the entire design process. AI tools are becoming embedded across product design phases, making an intentional research process vital to maximize design efficiency and reduce business risk from poorly informed decisions. A 3-stage framework for AI-powered research begins with a concise Research Brief to create context for both researchers and AI. A one-page research brief can summarize the product or feature being studied, the research goal, target users and context of use, and the research stage such as exploratory, concept validation, usability testing, or post-launch learning. Clear context enables AI to surface more relevant, actionable insights that support better decision-making.
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