๐Ÿ“ˆ Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets

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Description

๐Ÿ“Š Description

This workflow analyzes meeting transcripts using AI to understand team sentiment, engagement, and morale. The results are saved in Google Sheets for easy tracking and review. It receives meeting data through a webhook, validates the input, sends the transcript to AI for analysis, cleans the output, and stores the insights in a structured format. This helps teams track morale over time and spot risks early.

๐Ÿ” What This Template Does

Receives meeting transcript data through a webhook. Checks that all required fields are present. Sends the transcript to AI for analysis. Identifies sentiment, engagement, emotional tone, and morale risk. Cleans and structures the AI response. Adds a timestamp for when the analysis was done. Looks for an existing record in Google Sheets using the meeting ID. Updates the row if the meeting already exists. Creates a new row if the meeting is new. Sends a response back to the webhook caller.

โญ Key Benefits

๐Ÿงฉ Features

๐Ÿ” Requirements

๐ŸŽฏ Target Audience

๐Ÿ”— Nodes Used

HTTP Request, Slack, Telegram, Gmail, Schedule Trigger, AI Agent

๐Ÿ“ฅ Import

Download workflow.json and import into n8n: Workflow menu โ†’ Import from File

๐Ÿ“– Importing guide ยท ๐Ÿ”‘ Credential setup