Feature deprecation analysis

Product teams often face decisions about removing outdated or unused features to maintain a lean, efficient product. Feature deprecation analysis helps make these decisions through data rather than gut feelings.

Understanding user behavior patterns reveals the real value of features. Analytics helps identify how many users actively use the feature, its maintenance cost, and potential impact of removal. Teams can then prioritize which features to deprecate based on their usage-to-maintenance cost ratio. For example, a team might discover their old PDF export feature is only used by 0.1% of users but consumes 10% of maintenance resources.

This data-driven approach ensures teams preserve valuable features while confidently removing those that no longer serve user needs.