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Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets

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Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets preview
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1. Workflow Overview

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 rece...

Best for

  • Crypto Trading automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.errortrigger, n8n-nodes-base.gmail, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title
Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets
Workflow name
Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets

πŸ“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.

πŸ” 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.

⭐ Key Benefits

  • Removes the need for manual sentiment review
  • Gives consistent and structured meeting insights
  • Helps detect morale and engagement risks early
  • Avoids duplicate records using meeting ID
  • Keeps all sentiment data in one place
  • Works with any system that can send webhooks

🧩 Features

  • Webhook-based meeting data input
  • AI-powered sentiment and engagement analysis
  • Clear extraction of morale and risk signals
  • Clean and predictable output structure
  • Google Sheets create or update logic
  • Safe retry handling using meeting ID
  • Webhook response after completion
  • Production-ready workflow design

πŸ” Requirements

  • A webhook source that can send meeting data
  • Azure OpenAI credentials or a compatible AI model
  • Google Sheets OAuth credentials
  • A Google Sheet with required columns
  • An AI prompt for meeting sentiment analysis

🎯 Target Audience

  • Engineering and product teams
  • HR and people operations teams
  • Project and delivery managers
  • Leadership teams tracking team health
  • n8n automation builders
  • Organizations monitoring meeting effectiveness

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Workflow Error Handler

Type / Role
n8n-nodes-base.errorTrigger - errorTrigger
Config choices
Version 1

Block 2 - Send a message1

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 3 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Overview Sticky

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Data Collection Section

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Signal Processing Section

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - AI Analysis Section

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Alerts Section

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Security Notice

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Fetch RSI Indicator

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 11 - Fetch Price & Volume Data

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 12 - Merge API Responses

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 13 - Calculate Trading Signals

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 14 - Generate AI Summary

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 15 - OpenAI GPT-4 Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 16 - Assign Alert Priority

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 17 - Route by Priority

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 18 - Send to Slack (Low Priority)

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.4

Block 19 - Send to Telegram (High Priority)

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 20 - Schedule Trigger1

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

3. Summary Table

Workflow Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets
Complexity advanced
Nodes 20
Categories Crypto Trading, Multimodal AI
Author Rahul Joshi
Published 16 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12758/12758.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets do?

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 rece...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, Multimodal AI use case.