Version 2.6.0: Dependency-Aware Planning with Enhanced Forecasting and Performance
Version 2.6.0 · Released June 2, 2026 · Jira Cloud. Available now — no configuration required.
Version 2.6.0 brings the realities of interconnected work into planning. Until now, forecasts assumed every item could be worked independently — but releases are shaped by dependencies. With 2.6.0, dependencies become first-class citizens: the Monte Carlo engine understands that a release can only move as fast as its longest blocking chain, backed by a new Critical Path view and proactive scope-risk analysis.
What's new
Intelligent, dependency-aware forecasting
Critical-path integration: the engine calculates critical-path slack; negative slack pushes the probable completion date later.
Cross-team reality checks: the forecast adjusts to the slowest contributor in a blocking chain.
Transparent risk attribution: a Critical Path Method backward pass attributes risk to the specific blocking issues.
A/B scenario toggle: compare the forecast "with dependencies" versus "without" to quantify the delay.
Visualizing the critical path
Dedicated Critical Path view: the exact sequence of work dictating your date, as an ordered ribbon.
Cross-release context: blockers living in other Fix Versions appear as distinct context nodes.
Cycle detection: infinite dependency loops are detected, omitted from the path, and flagged.
Release-filtered focus with direct navigation back to Jira.
Proactive scope-risk analysis
Ranked risk heatmap: flagged items sorted by descending risk score.
Outlier flagging: items stalled beyond typical cycle time or blocked past a threshold are surfaced.
"What-if" scope modeling: simulate removing at-risk items and watch the confidence date recalculate — no changes to live Jira until you're ready.
Enterprise-grade performance
Enhancement | Benefit |
|---|---|
Intelligent forecast caching | Returning to a previously viewed release is near-instant when inputs are unchanged. |
Optimized capacity engine | Absence and headcount records are pre-indexed rather than re-scanned each iteration. |
Smoother rendering | Filtering and grouping are memoized, cutting the CPU cost of large boards. |
What's in this release
Type | Summary |
|---|---|
Feature | Dependency-aware Monte Carlo forecasting with critical-path slack |
Feature | Critical Path view with cross-release context and cycle detection |
Feature | Proactive scope-risk heatmap and what-if scope modeling |
Improvement | Forecast caching, pre-indexed capacity engine, memoized rendering |
Get started
Try it on the Atlassian Marketplace · Learn more on divim.io · User Guide · Book a 30-minute demo
Previous release: Version 2.5.0: Capacity Aware Planning.