Multi-channel feedback to Jira pipeline with AI analysis & Notion reporting

by Yassin Zehar ✓ · 177 views · created 2025-11-17 · Project Management, AI Summarization

What this workflow does

This AI workflow has 24 nodes and runs on Telegram events (message) (plus 3 other triggers). Along the way it connects Google Sheets, Gmail, Telegram and Jira Software and 2 more.

How it runs

Trigger: On Telegram events (message) (plus 3 other triggers).

1. data normalizer (Code): runs custom JavaScript code
2. query google sheet (Google Sheets): uses Google Sheets
3. instant reply (Telegram): uses Telegram
4. aggregate monthly stats (Code): runs custom JavaScript code
5. user enrichment (Code): runs custom JavaScript code
6. Message a model (OpenAI): uses OpenAI
7. Message a model (OpenAI): uses OpenAI
8. parse response (Code): runs custom JavaScript code
9. parse json (Code): runs custom JavaScript code
10. monthly report (Notion): uses Notion

…plus 10 more steps. See the full node list below.

Services it uses

Google SheetsGmailTelegramJira SoftwareNotionOpenAI

Before you upgrade to n8n 3.0

Nodes used (12)

• Google Sheets Triggern8n-nodes-base.googleSheetsTrigger
• Gmail Triggern8n-nodes-base.gmailTrigger
• Coden8n-nodes-base.code
• Telegramn8n-nodes-base.telegram
• Jira Softwaren8n-nodes-base.jira
• Google Sheetsn8n-nodes-base.googleSheets
• Gmailn8n-nodes-base.gmail
• Notionn8n-nodes-base.notion
• OpenAI@n8n/n8n-nodes-langchain.openAi
• Telegram Triggern8n-nodes-base.telegramTrigger
• Ifn8n-nodes-base.if
• Schedule Triggern8n-nodes-base.scheduleTrigger

From the author

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…

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