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
Imagine you're trying to pass an exam that has a particular pass rate, and you add as many questions as you want. You see which ones you got right, and you remove the ones that you got wrong. That's basically what they're doing.