What is Empirical Forecasting?
Empirical automatically constructs a visual roadmap for engineering teams' epics based on open tickets in your sprints and backlog, using Monte Carlo methods. Roadmaps update in-real time as tickets change. Currently available for Jira.
Problem
Engineering teams manually track project timelines using static spreadsheets or Jira, leading to time-consuming updates and inaccurate forecasts.
Solution
A Jira-integrated roadmap tool that automatically generates data-driven forecasts using Monte Carlo simulations, enabling real-time visual roadmaps updated as tickets change.
Customers
Engineering managers, project managers, and tech leads in mid-to-large SaaS companies managing complex sprints and backlogs.
Unique Features
Probabilistic timeline forecasts via Monte Carlo methods, real-time roadmap syncing with Jira tickets, and scenario modeling for backlog changes.
User Comments
Reduces status meetings by 50%
Finally provides credible estimates to stakeholders
Integrates seamlessly with our Jira workflow
Visualizations help prioritize backlog items
Learning curve for probabilistic forecasts
Traction
Launched 6 months ago, 500+ teams signed up, $10k MRR from enterprise tier, featured in Jira Marketplace Top 20 New Tools
Market Size
The global project portfolio management market valued at $5.6 billion in 2023 (MarketsandMarkets)
