Predictive Roadmap

Deliver On‑Time and On‑Budget

Make dependable commitments based on historical capacity, complex constraints, and velocity modeling.

Make Predictions Based on Real Data

Accurately predicting software delivery requires accounting for scope creep, unplanned work, changes to velocity, and scheduling constraints. Doing this manually is arduous and error prone, leading projects to go over time and over budget.
minware's predictive roadmap lets you see when projects will actually be done using ticket estimates, factoring in historical velocity, and modeling per-person and per-team scheduling constraints.

Frequently Asked Questions

Do I need to put estimates on tasks, stories, or epics?

The predictive roadmap aggregates estimates across all issues in your hierarchy, so you can add estimates at any or all task levels. People often add rough estimates to an epic during early roadmap planning, and later add estimates to individual stories, tasks or subtasks prior to starting work.

How does the predictive roadmap prioritize work?

The predictive roadmap prioritizes work based on the rank you set for epics or initiaitves in the Jira planning view, so they will be scheduled in the same order.

Can I group by epics, initiatives, and releases?

The predictive roadmap supports grouping by epics, initiatives, or releases so you can see the schedule based on how you currently do your planning.

Does the predictive roamdap use time or story point estimates?

The predictive roadmap supports both time and story point estimates, and will translate between them in the same view if you have a mix of both estimates.

How do team and person scheduling work?

The predictive roadmap can apply the velocity either to a single workstream for the whole team, or individually to workstreams for each assignee, which helps uncover bottlenecks if specific team members are overloaded.