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

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 automatically, a Notion page is generated for documentation, and a monthly product report is sent by email to stakeholders.