Automate Jira Ticket Closure with AI-Powered Sentiment Analysis
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Streamline your Jira workflow by automatically closing inactive tickets and gathering valuable customer feedback. This n8n workflow leverages AI to analyze ticket sentiment and engage users before closure.
About This Workflow
This n8n workflow offers a sophisticated solution for managing your Jira tickets by automating the closure of inactive issues. It intelligently analyzes the conversation history within Jira tickets, using OpenAI's GPT-4o-mini model to understand the sentiment and context. The workflow is triggered on a schedule and identifies tickets that may have been resolved or are awaiting further input. Before auto-closing, it adds relevant comments, including a prompt for customer feedback and an option to leave a review, while also ensuring the ticket is transitioned to a 'Done' status. This significantly reduces manual overhead for support teams and improves the overall efficiency of issue resolution.
Key Features
- Scheduled Automation: Automatically runs at predefined intervals to process Jira tickets.
- AI-Powered Sentiment Analysis: Utilizes OpenAI's GPT-4o-mini to understand ticket conversation context.
- Intelligent Commenting: Automatically adds helpful messages and prompts for feedback before closure.
- Jira Integration: Seamlessly interacts with Jira to fetch comments, add new ones, and update ticket statuses.
- Customizable Closure Logic: Ability to define conditions for auto-closing tickets based on inactivity.
How To Use
- Schedule Trigger: Configure the
Schedule Triggernode to define how often the workflow should run (e.g., daily). - Get Issue Comments: Connect to your Jira account using the
Jira SW Cloud accountcredentials and set theGet Issue Commentsnode to fetch comments for relevant tickets. - Join and Simplify Comments: Use the
Join CommentsandSimplify Thread For AInodes to aggregate and format the ticket conversation for the AI model. - AI Analysis: Configure the
OpenAI Chat Modelnodes to process the simplified thread and topic for sentiment analysis or to determine if a solution has been reached. - Conditional Logic: Implement an
Ifnode (e.g.,Solution Found?) to branch the workflow based on the AI's output or other criteria. - Automated Actions: Based on the
Ifnode's outcome, use nodes likeAdd Autoclose Message,Ask For Feedback Message, andClose Issueto automatically comment on and update the Jira ticket status. - Error Handling/Reminders: Optionally, add nodes to send reminders or handle specific scenarios (e.g.,
Send Reminder). - Credentials Setup: Ensure your Jira and OpenAI API credentials are properly configured in n8n.
Apps Used
Workflow JSON
{
"id": "b2d971b1-8afe-4ed6-8516-32e4bd58bf77",
"name": "Automate Jira Ticket Closure with AI-Powered Sentiment Analysis",
"nodes": 12,
"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: b2d971b1-8afe...
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