Monitoring customer experience KPIs helps companies understand customer satisfaction, loyalty, and the overall experience.

Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to forecast future outcomes.

As a PM, you have to ensure that whatever updates are made to the product align with the overall goals of the company.

While many organizations struggle with a lack of data, others face the opposite challenge: an overabundance of data, which can lead to analysis paralysis.

Galileo Highlights eliminates the need to watch hours of sessions by automatically summarizing each user’s experience and identifying patterns, friction points, and behavioral trends across groups of sessions.

A/B testing is a method of comparative analysis where two versions of a product change (A and B) are tested against each other.

Customer behavior analysis (CBA) is the study of how individual customers, groups, or segments act when interacting with your product.

I often help product teams move from reactive, stakeholder-driven ways of working to strategic, outcome-driven ways. In this process, I […]

Success metrics are measurable parameters used to measure progress, effectiveness, and ultimately, success.

The core of PLG relies on reducing time to value and relentlessly improving the user experience by creating multiple a-ha moments.

Whether you call it data-driven or data-informed, PMs need to know how to work with qualitative and quantitative data.

Customer experience metrics are metrics that you can use to determine how customers perceive their interaction with your product.