As the quarter ends, focus on optimizing product growth by refining user acquisition, improving UX, conducting product experiments, and simplifying the user journey. Prioritize data-driven decisions and eliminate unnecessary complexity. Test, iterate, and adjust your roadmap based on real user needs to drive meaningful impact.

Ecommerce Product Management involves balancing business, product development, and marketing to drive growth. Key tasks include optimizing product assortment, designing UX, A/B testing, and tracking KPIs. A strong product manager is crucial for success in digital commerce projects.

A bloated product backlog slows down progress. As a Product Owner, clean it by removing outdated tasks, organizing ideas separately, and aligning items with your product vision. Prioritize effectively, educate stakeholders, and take control—your backlog should be a strategic tool, not a dumping ground.

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.