It seems like every board meeting and planning session now includes the question: “What’s our AI strategy?” The pressure from leadership, VCs, and the market to integrate AI is immense. While exciting, this gold rush can quickly derail even the most disciplined teams, turning them from outcome-driven powerhouses into reactive AI feature factories.
Suddenly, the roadmap isn’t about solving deep user problems; it’s about shipping a chatbot, an AI-powered summarizer, or some other generative feature. We start chasing competitor announcements instead of customer needs. This is the classic build trap, just supercharged with hype. The risk is building technologically impressive but ultimately low-impact features that don’t move our core metrics or improve users’ lives.
The antidote is sticking to first principles. Before asking how we can use AI, we must relentlessly ask why. What is the most critical user outcome we are trying to drive? Grounding every initiative in solid user research is non-negotiable. Centralizing that research and feedback in a single source of truth—something we’re passionate about at https://leera.io—ensures that when you do leverage AI, it’s to solve a real problem, not just to add a bullet point to a press release.
How are you balancing the intense pressure to ship AI features with the discipline of maintaining an outcome-driven roadmap?