Insights for Jira

Last updated on Oct 08, 2025

Bring clarity to your Jira data with Optimal AI Insights.

Optimal AI Insights integrates directly with your Jira workspace to surface actionable engineering metrics. Instead of manually piecing together reports, Insights transforms your Jira issues, story points, and sprints into easy-to-read dashboards that highlight progress, bottlenecks, and delivery trends.

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πŸ”— Jira Setup & Integration Guide


Issues Progress

Track the progress of every issue in Jira, broken down by team members.

  • Visualize tasks by status (To Do, In Progress, Done).

  • Drill down into issue-level details, including Epics and subtasks.

  • Understand how workload is distributed across your team.

  • Quickly see which tasks are blocking progress and where bottlenecks may form.

πŸ“Š Example: Jimmy Jimmels has 13 tasks in β€œTo Do” and 6 in β€œIn Progress,” while others have none assigned β€” making it easy to rebalance workload before sprint deadlines.


Story Points

Measure sprint commitments against actual delivery.

  • Committed Story Points – the total points estimated before a sprint begins.

  • Planned Complete – points from committed tasks that were finished.

  • Unplanned Complete – tasks added mid-sprint that were still completed.

  • Incomplete – points that carried over or remained unfinished.

Use this to:

  • Compare planned vs. actual delivery across sprints.

  • Identify consistent carryovers or underestimations.

  • Improve sprint planning accuracy and velocity forecasting.

πŸ“Š Each sprint’s story points are color-coded β€” committed, carried over, unplanned, complete, and incomplete β€” giving you a clear picture of team execution at a glance.


Time in Status

Find bottlenecks by analyzing how long issues sit in each Jira status.

  • Customize your workflow mapping (e.g., To Do β†’ In Progress β†’ QA β†’ Done).

  • View average and median time per status to understand flow efficiency.

  • Highlight the biggest bottleneck (e.g., issues spending 67 days in β€œIn Progress”).

  • Detects outlier issues that significantly exceed typical cycle times.

Metrics provided:

  • Average Time in Status – how long issues spend before moving forward.

  • Flow Rate – average issues created per day.

  • Lead Time – total time from creation to Done.

πŸ“Š Outlier detection flags issues that are β€œstuck,” such as tickets spending 931 days in To Do, so teams can take immediate corrective action.


Key Benefits of Insights for Jira

βœ… Real-time visibility into sprint and issue progress.
βœ… Identify bottlenecks before they delay releases.
βœ… Balance workloads across team members.
βœ… Track planned vs. actual commitments with story points.
βœ… Improve forecasting accuracy and delivery outcomes.