Interpreting and segmenting data

Once metrics are tracked, interpreting them correctly is just as important as selecting them. A single number rarely tells the full story. Segmenting data helps reveal hidden patterns that explain why a metric changes. For example, a drop in engagement might only affect new users, or high churn could come from one region or device type. Looking at overall averages without segmentation can lead to misleading conclusions.

When writing product specs, note which user groups or contexts matter most for measurement. You can segment by demographics, platform, location, or behavior. Connecting metrics to specific user segments allows teams to prioritize accurately and design targeted improvements. Segmentation turns generic numbers into insights that support smarter specifications and more effective releases.