Making smarter decisions with machine learning – Inga Chen @ Squarespace

Product to Product

Welcome to the very first episode of Product to Product, Roadmunk’s brand new podcast! 🎉

For context: As a company that builds roadmapping software for product people, we’re immersed in the product community. We’ve seen how helpful product people are when it comes to helping their peers. They’re open to sharing their own experiences of working in product (both the good and the bad) in very honest ways—and they’re very generous with advice.

The candid conversations that are happening in product communities online make for excellent podcast material. So, we decided to start one. Product to Product will feature two product people talking about one product-specific topic—like applying machine learning to the right problems and building a healthy PM culture (and what “PM culture” is). We have really cool episodes coming up with product managers, designers, marketers and engineers.

This episode features Inga Chen, a product manager at Squarespace. Inga manages the team responsible for Squarespace’s analytics platform—which their clients rely on to get data-driven insights about their websites and e-commerce stores.

Machine learning is a passion of Inga’s—and she’s specifically interested in helping other product teams build machine learning models that solve real problems for end users. Inga spoke to my colleague Eleni Deacon about how product teams can properly prepare for machine learning, gathering user feedback and what to do when a model fails.

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