Customer feedback automation with sentiment analysis using GPT-4.1, Jira & Slack
Ready for 3.0What this workflow does
This AI workflow has 10 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Slack, OpenAI and Jira Software.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Validate Payload (If): checks a condition and branches into true / false
- Search Weekly Issues (Jira Software): get many
- Determine Sentiment (OpenAI): uses OpenAI
- Slack: uses Slack
- Create Weekly Summary (OpenAI): uses OpenAI
- Is Negative or Feature Request? (If): checks a condition and branches into true / false
- Send Weekly Slack Summary (Slack): uses Slack
- Create Jira Task (Jira Software): uses Jira Software
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Webhook
n8n-nodes-base.webhook - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack - OpenAI
@n8n/n8n-nodes-langchain.openAi - Jira Software
n8n-nodes-base.jira - Schedule Trigger
n8n-nodes-base.scheduleTrigger
From the author
Customer Feedback Automation Workflow with Webhook, OpenAI, Jira & Slack This workflow collects customer feedback from a webhook, validates the incoming data, analyzes the sentiment using OpenAI and creates Jira tasks for negative or feature-request feedback.…