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Feature
Delivery forecasts
Monte Carlo forecasts built on your team's real throughput, not guesses.
Overview
Estimates are optimistic by nature. Lumetric looks at how much work your team finishes each week, how often scope grows and how long reviews wait, then runs ten thousand simulations to show the likely delivery date.
You get a date range with a confidence level, a chart of what is pushing it out and a heads-up the moment the forecast slips. Product managers stop chasing updates, and leadership stops being surprised.
Highlights
Date ranges, not promises
See the 50%, 85% and 95% confidence dates side by side.
Scope-creep tracking
Spot the tickets that were added after kickoff.
What-if planning
Add a developer or cut a feature and watch the date move.
Slip alerts
Get a message when a forecast moves by more than two days.
What’s included
- Monte Carlo simulation
- Per-epic and per-release forecasts
- Scope change history
- Confidence bands
- What-if scenarios
- Weekly forecast digest
Common questions
Six weeks of completed work gives a useful forecast. Twelve weeks or more makes it very reliable.
No. Forecasts work from ticket counts, so teams that don't estimate get the same accuracy.
Yes. Cross-team releases combine each team's throughput and flag the team most likely to delay the date.