We’ve all been there: spending weeks crafting the ‘perfect’ annual roadmap, only to have a market shift or new technology make it irrelevant by Q2. For years, we’ve debated the merits of feature-based roadmaps versus flexible, theme-based planning. But the blistering pace of AI development isn’t just another variable in that debate—it’s a catalyst forcing our hand.
When a new foundation model can emerge and reshape user expectations overnight, is a 12-month feature list a strategic asset or a liability? Committing to a rigid plan feels like betting against innovation. The teams that will win are those that can pivot quickly to leverage new AI capabilities to solve core customer problems, not just ship pre-planned features.
This is pushing many of us towards shorter planning horizons and a relentless focus on outcomes over outputs. We’re moving from a list of features to a set of customer problems we aim to solve each quarter. But this requires a huge cultural shift in how we communicate with stakeholders who crave the comforting certainty of a feature list.
How are you adapting your roadmapping and stakeholder communication in the age of AI to stay both focused and flexible?