Agile Charts & Gadgets: Reports, Graphs, KPIs on Dashboard

Track initial vs final commitment, estimate shifts, completed work (initial), and not completed work to boost sprint predictability & planning.

Measure commitment reliability using configurable logic aligned with your team’s definition of “Done”.

Track scope volatility during the sprint to detect delivery instability early. Adapt the Rollover metric to your team’s process.

Analyze contribution and delivery patterns at individual level without exporting Jira data.

Compare sprint health across teams to identify systemic weaknesses and best practices.

Define precise start and end events (first/last transition, from/to status, calendar-aware) to reflect real workflow timing.

Measure completed value over time to assess actual system capacity, sliced by any Jira field.

Assess flow stability by comparing incoming and completed work on the cumulative flow diagram.

Identify bottlenecks and aging work items before they impact delivery timelines.

Analyze workflow efficiency by measuring time distribution across statuses.

Understand how issues move across workflow states to optimize process design.

Generate probabilistic forecasts based on historical throughput to reduce delivery uncertainty.

Predict completion timelines for large initiatives and epics.

Model delivery scenarios by adjusting resource allocation coefficients.

Compare statistical forecast against planned projections to assess risk exposure.

Simulate alternative delivery paths before committing to scope or deadlines.

Use the same analytics engine across Jira Software, Jira Product Discovery, Jira Service Management, and Confluence.

Use data from Scrum, Kanban, Jira Spaces, Cross-Releases, multi-select Epics, dynamic Epic lists, hierarchies, or custom JQL filters.

Aggregate multiple Jira boards or other data sources into consolidated cross-team analytics.

Run analytics across issue hierarchies—epics, initiatives, and parent/child structures—to understand delivery progress at every level.

Slice delivery metrics by any Jira field without using external BI tools.

Configure all charts from a unified interface instead of searching multiple gadgets.

Generate ready-to-use charts instantly while retaining advanced configuration options.

Use the app on the space page with Velocity, Burnup, Cycle Time, Throughput, Monte Carlo, and Cumulative Flow available in one place.

Analyze delivery stability using averages, rolling averages, and configurable percentiles (50th, 85th, 95th, custom).

Add visual health indicators to dashboards for executive reporting.

A focused live walkthrough to help your team configure the right charts and metrics from day one.

Guaranteed response window and accelerated fixes for production-critical issues.

Tailored expert-led demo, onboarding, and best-practice sessions for delivery teams and stakeholders.

Hands-on support for Server/DC → Cloud transitions, configuration alignment, and data validation.