Empirical

40% of software projects ship late. Stop guessing.

Empirical gives engineering teams a better way to answer "when will it be done?" using data-driven forecasts.

AUTH-1

Authentication System Overhaul

On Track

100% chance to deliver by Jan 31

0%50%100%Jan 1Mar 31Due date
More accurate
vs estimating with gut-checks (e.g. take your best guess and double it) or average velocity (based on backtesting with real data).
Automated
Empirical automatically generates forecasts using your team's historical data and color codes them based on how they're tracking vs their due date.
Forecasts
Empirical generates probabalistic forecasts that show how re-prioritizing, re-assigning, cutting scope or adding a new team member impacts your timelines.