Automated Jira Issue Summarization to Google Docs

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This workflow automates the process of monitoring Jira issues for status updates, specifically when an issue’s epic is marked as ‘Done’. When such an update occurs, the workflow fetches all related issues and comments from Jira, then uses AI to generate a comprehensive Lessons Learned report. The report, formatted in Markdown, is then automatically inserted into a specified Google Doc.

The process begins with a Jira trigger listening for issue updates. When an update occurs, a conditional check ensures the issue’s epic status has changed to ‘Done’. If so, the workflow retrieves all issues associated with the epic and collects their comments. These comments and issue descriptions are then processed using an AI language model, which consolidates the information into a structured Lessons Learned report. Finally, this report is inserted into Google Docs for easy access and review.

This workflow is useful for teams practicing Agile methodologies who want to streamline retrospective documentation and capture insights automatically after completing major epics. It ensures transparency, saves manual effort, and promotes continuous improvement by quickly turning Jira data into actionable reports.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, googleDocs, if, jira, jiraTrigger, set, stickyNote, summarize

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