Multi-Channel Feedback to Jira Pipeline with AI Analysis & Notion Reporting — n8n Workflow
Overview
Description
This workflow turns scattered user feedback into a structured product backlog pipeline.
It collects feedback from three channels (Telegram bot, Google Form/Sheets, and Gmail), normalizes it, and sends it to an AI model that:
Classifies the feedback (bug, feature request, question, etc.)
Extracts sentiment and pain level
Estimates business impact and implementation effort
Generates a short summary
Then a custom RICE-style priority score is computed, a Jira ticket is created aut
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a trigger trigger.
- 2
Process
Data flows through 24 nodes, connecting code, gmail, gmailtrigger.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (24)
Google Sheets
googleSheets
Telegram
telegram
Jira Software
jira
Gmail
gmail
Notion
notion
Code
code
OpenAI
n8n-nodes-langchain.openAi
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows → New → Import from file.
- 3Select the downloaded
multi-channel-feedback-to-jira-pipeline-with-ai-analysis-notion-reportingfile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n → Import from JSON:
Integrations
Created by
Yassin Zehar
@yassinzehar
Tags
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