Automate Agile Retrospectives with Jira and AI
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Streamline your Agile retrospectives by automating the creation of insightful 'Lessons Learned' reports. This workflow leverages n8n to pull data from Jira, process comments and descriptions with AI, and generate detailed reports ready for your next team meeting.
About This Workflow
This n8n workflow revolutionizes your Agile retrospective process by automating the extraction and analysis of project data from Jira. It begins by fetching all relevant issues from your Jira instance. Subsequently, it dives deep into each issue to gather all associated comments. This collected information, including issue descriptions and comments, is then processed by an advanced AI agent. The AI analyzes the data to identify key findings, extract actionable recommendations, and even suggest relevant metrics and tags. Finally, the generated 'Lessons Learned' report, formatted in clean Markdown, is prepared for seamless integration into your documentation, such as Google Docs, ensuring your team can efficiently review and act upon valuable insights.
Key Features
- Automated Data Extraction: Seamlessly pulls all issues and comments from Jira.
- Intelligent AI Analysis: Leverages advanced AI to synthesize information into insightful retrospectives.
- Customizable Report Generation: Produces detailed 'Lessons Learned' reports in Markdown format.
- Google Docs Ready Output: Ensures reports are easily transferable for documentation and sharing.
- Flexible Configuration: Adaptable to various Jira projects and team workflows.
How To Use
- Connect Jira: Configure the 'Jira Get All Issues' and 'Jira Get All Comments' nodes with your Jira credentials.
- Map Data Fields: Utilize the 'Edit Fields' node to extract and map necessary Jira fields (Epic Name, Title, Description, Comments) into new properties.
- Summarize Comments: Employ the 'Summarize' node to consolidate all collected comments into a single, manageable text block.
- Configure AI Agent: Set up the 'AI Agent' node, providing the AI with specific instructions and the mapped Jira data. Ensure the 'System Message' is tailored to generate the desired 'Lessons Learned' report format.
- Select AI Model: Choose your preferred OpenAI Chat Model (e.g., GPT-4o-mini) in the 'OpenAI Chat Model' node.
- Output to Google Docs: Configure the 'Google Docs' node to insert the AI-generated report content into your desired document.
Apps Used
Workflow JSON
{
"id": "42260541-6f6b-4859-adee-67d1467409b6",
"name": "Automate Agile Retrospectives with Jira and AI",
"nodes": 21,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 42260541-6f6b...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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