We’ve all seen AI tools that can summarize meeting notes or draft release announcements. But the real shift is happening deeper in our workflow: product discovery. New AI-powered platforms can now sift through thousands of user interviews, support tickets, and feedback forms in minutes, identifying patterns and even generating draft user personas or JTBD statements.
This is a game-changer. It promises to free us from hours of manual synthesis, giving us more time for strategic thinking and direct customer engagement. The efficiency gains are undeniable.
However, it also introduces a critical question about our role. The art of discovery often lies in the nuances—the subtle hesitation in a user’s voice, the unexpected connection you make while manually tagging feedback. When we insert an AI abstraction layer, are we sacrificing genuine empathy and those “aha!” moments for the sake of speed? Are we outsourcing the very intuition that makes a product manager great?
We’re standing at a crossroads between augmentation and automation. As leaders, we need to decide how to integrate these powerful tools without losing the soul of our craft.
How are you using AI in your discovery process, and where do you draw the line between helpful co-pilot and a crutch that weakens core PM skills?