Product Management has come a long way – from innovative software development lifecycles such as Agile and Kanban, the way we conceptualize and prioritize our requirements through PRDs and one-pagers to the various tools up our arsenal through the entire lifecycle of the product.

And now we have another ‘tool’ at our disposal – LLM and GPT based Copilots and Chats. They can be thought of as more than a tool, an assistive device if you will, or your partner in crime that guides you through your PM workday. The way we identify customer challenges and articulate our hypothesis, use prompt engineering to mine vast enterprise knowledge base to extract key insights for our funding proposals or the way we communicate with our stakeholders (& customers) to bring alignment, manage expectations, measure product success and respond to experience snags – all of this has vastly been influenced by the arrival of LLMs and GPTs in our PM lives. Additionally, we’re making step shifts in how we identify and prioritize the latest AI developments into the very hearts of our product experiences – conversational chatbots, productivity software and much more.

So, are we using AI-based tools to their full potential? Conversely, are we trying to force-fit AI into everything – our PM processes and into products themselves, just because it’s the latest trend?

This talk aims to provide a point of view on how AI is and has changed the life of a Product Manager, and how can we optimize its usage to enhance our PM art and our products further.