This really resonated with me ๐๐ง
I do not see this as replacing a step in product work. I see it as changing where the detail lives or perhaps is efficiently reused.
The craft of product thinking does not go away. Problem framing, trade offs, customer understanding, and strategy still need strong human judgement ๐ญ
What changes is how that thinking is expressed. Instead of pouring it into long documents, it is channelled into faster and more efficient forms of reuse.
That raises an interesting question for me ๐ค
Who should actually own the prototyping execution layer. Is it the Product Management Team or the Development Team.
I wonder if this fits best within discovery work done in scrum team.
A short discovery sprint used as an experiment ๐งช
Something designed to test movement on the north star โญ and real outcomes, rather than perfecting artefacts.
For me, the most valuable time a Product Manager has is still spent with end users.
Listening ๐, observing ๐, understanding real problems, and translating those insights into a clear strategy that adds customer value โค๏ธ and grows the business towards the North Star ๐
AI does not replace that! It simply gives us a more efficient place to put the thinking that follows.
Curious how others are experimenting with this shift ๐๐
#ProductManagement #Discovery #OutcomesOverOutputs