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The product manager’s guide to statistical analysis
The product manager’s guide to statistical analysis

As a product grows—in terms of geography, user base, revenue, number of features, and more—it aggregates more data. This data is a goldmine for making informed decisions, but working with it requires the right knowledge and skills, including statistical analysis.

For product managers, statistical analysis is not just a nice-to-have skill; it’s an essential tool that transforms raw data into actionable insights, validates hypotheses, and measures the impact of changes. With it, product managers can spot opportunities and pain points and take timely action. Without it, they will make incorrect assumptions about their product and customers, which can lead to costly mistakes. 

This guide will introduce you to the basics of statistical analysis, its applications in product management, essential skills you need to develop, and practical tips to get you started.

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