Harnessing the Power of AI in Product Development

AI can help product managers and designers work more efficiently and make better decisions, but its value comes from applying it to concrete work.

Useful applications include analyzing product data, classifying customer feedback, drafting and editing content, creating visuals, supporting market research, and acting as a second set of eyes. AI can also help teams generate ideas, create prototypes, improve roadmaps, test products, personalize experiences, and identify opportunities for AI-powered product capabilities.

Getting started does not require becoming a machine-learning engineer. Learn what different tools are good at, take practical courses, experiment with several models, and use them in real work. Comparing results across tools is often more educational than reading about them in the abstract.

AI remains a tool. Product people still need judgment, curiosity, customer understanding, and responsible practices. The goal is not to add AI everywhere. The goal is to use it where it improves the work, the product, or the customer experience.

This recovered article has been condensed from the original.