We’re living through an AI renaissance, and it’s easy to get swept up in the excitement. Every product team feels the pressure to integrate AI, to demonstrate innovation, and to ride the hype wave. But in this rush to embed the latest LLMs or generative features, are we, as product leaders, risking our core product health?
I’ve been seeing a trend where teams, perhaps driven by executive mandates or competitive pressure, start bolting on AI features without adequately considering the impact on performance, reliability, and the foundational user experience. This isn’t just about technical debt; it’s about user trust. If your core features are buggy, slow, or difficult to use, adding a ‘smart’ new AI assistant might just exacerbate user frustration rather than solve real problems.
True innovation, especially with AI, should enhance and extend, not detract from, the existing value proposition. It requires a thoughtful approach: understanding genuine user problems AI can solve, ensuring a solid technical foundation, and prioritizing a cohesive user journey. Let’s not let the shiny new AI object blind us to the robust product health that keeps users coming back.
How are you navigating the balance between AI innovation and maintaining a strong, healthy core product experience within your teams?