Jira issues, sprint, fix version summaries

This feature allows you to g generate AI insights from your Jira data to understand development progress and identify optimization opportunities.

How to generate Jira summaries

1. Click "Use AI" (top left)

2. Select "Summarize Jira insights"

3. Choose analysis type:

   1. Jira issues summary:

      1. Analyze progress on one or multiple issues

      2. Assess potential blockers and timeline impact

      3. Generate actionable recommendations

   2. Sprint summary:

      1. Analyze completed work and potential blockers

      2. Get actionable recommendations to minimize spillovers

      3. For completed sprints: retrospective of successes and improvement areas

   3. Fix version summary:

      1. Analyze completion status and potential blockers

      2. Get actionable recommendations to minimize delays

      3. For completed releases: retrospective analysis

Data points and insights

Luna's AI analyzes a variety of data points including:

Analysis type	Description
Issues completion	Done vs remaining work by effort and priority level
Scope creep	Track scope increases after work begins by monitoring child issue additions, description expansions, and reopened issues
Blockers	Analyze comments to identify blockers and resolution status
Dependencies	Identify dependencies that are at risk of causing delays
Timeline risks	Overdue issues and stalling issues that haven't progressed
Velocity	Calculate spillover risks for sprints and delay risks for fix versions/issues
Workload	Assess workload allocation and team imbalances

Follow-up actions

After generating Jira summaries, convert insights to action:

• Click on Follow-ups: Import issues as launches

• Luna will recommend issues to import and track as launches in Luna.

• Import to Luna: select relevant Jira issues and import them as Luna launches

• Maintain automatic linking between Jira and Luna for ongoing synchronization