Everyone’s talking about leveraging AI to 10x productivity. We’re using it to draft user stories, summarize research, and even generate roadmap ideas. The efficiency gains are undeniable. But in our rush to build faster, are we losing sight of building better?
There’s a real danger that these incredible tools can inadvertently push us back into a feature factory mindset, just one that operates at hyper-speed. AI can generate a flawless-looking PRD or populate a backlog in minutes, creating a powerful illusion of progress. This can tempt teams to bypass the messy, time-consuming work of deep customer discovery and problem validation. After all, why spend weeks on discovery when an AI can give you a ‘validated’ feature list in seconds?
The critical thing to remember is that AI excels at synthesis and generation based on existing data; it can’t replicate true empathy or uncover a user’s latent needs. It’s a classic trap, and it highlights why continuous discovery and qualitative insights are more important than ever. We’re seeing savvy teams use AI to supercharge the analysis of user feedback from tools like https://leera.io, not to replace the gathering of it. This keeps the focus squarely on solving real problems.
How is your team using AI to enhance, rather than replace, genuine outcome-driven practices?