We’re all talking about AI copilots for coding and writing, but I think we’re missing the bigger picture: how AI is about to fundamentally reshape product strategy and roadmapping.
For years, roadmaps have been a blend of art and science—heavy on stakeholder negotiation, gut feelings, and manually synthesized user feedback. It’s a high-effort process that often results in a static document, quickly becoming outdated.
But what if AI could change that? Imagine an AI that doesn’t just help you write user stories faster, but constantly analyzes every piece of user feedback from sales calls, support tickets, and surveys. It could identify emerging patterns, quantify the impact of pain points, and even model the potential ROI of different initiatives before you commit them to the roadmap.
This shifts the PM’s role from a feature-wrangler to a strategy curator, using AI-surfaced insights to build a truly evidence-based plan. Instead of a static document, the roadmap becomes a dynamic, living artifact. At leera.io, we’re building tools to connect that raw, qualitative user feedback directly to your product strategy, making it easier to see the ‘why’ behind what you’re building.
This isn’t about replacing product managers; it’s about augmenting our strategic capabilities.
How are you thinking about using AI for more than just tactical execution in your product process?