In the world of product management, traditional software engineering products and machine learning (ML) products operate on fundamentally different paradigms. As a product manager overseeing an internal ML-driven data product for automating customer support contact reasons, I’ve experienced firsthand how ML product management requires a distinct approach—especially in handling timelines, stakeholder expectations, and model performance.

In the age of digital analytics, tools like Hotjar, Microsoft Clarity, Mixpanel, Lucky Orange, Peer for Shopify, and Shopify Analytics offer incredible insights into user behavior.