What Engineers Say vs. What Users Hear: ๐ง๐ต๐ฒ ๐๐ฎ๐ฝ ๐๐ ๐ฃ๐ ๐ ๐ ๐๐๐ ๐๐น๐ผ๐๐ฒ
Receiving client feedback is a natural part of the design process, but it can sometimes feel like a challenge. Hereโs how to turn critique into a creative advantage.
Oct 24, 2024
2 min
A Common AI PM Situation
A few weeks ago, a PM was speaking with an engineer about an AI feature being tested.
The engineer explained precision, recall, and data drift in detail. Brilliant stuff, but far too technical for the business stakeholders. Later, the same PM sat with a customer success manager. Their frustration was simple:
"Our users donโt care about recall scores. They just want the system to stop giving wrong recommendations."
The Role of the AI Product Manager
The role of an AI Product Manager is to be the translator and the bridge..
Engineers speak in models, accuracy, and infrastructure.
Users speak in trust, outcomes, and experience.
Businesses speak in ROI, efficiency, and growth.
The Biggest Lesson
The biggest lesson: AI PMs donโt just ship features. They translate complexity into clarity, making sure technology, humans, and business outcomes meet at the same bridge.
The Question
Curious to ask: What do you think is the most underrated skill for an AI Product Manager today?