Empirical provides software teams with data-driven forecasts for epics using Monte Carlo methods, leading to significantly more accurate estimations compared to traditional velocity-based methods.

Features

Data-driven forecasts

Uses Monte Carlo methods to generate forecasts for project epics, providing a more accurate prediction model for completion dates.

Automated estimation

Eliminates the need for manual estimation by automatically generating forecasts using historical data, freeing up time for actual project work.

Real-time updates

Continuously updates forecasts in real-time, reflecting changes such as task re-prioritization, scope adjustments, or team changes instantly.