Block 1 - Schedule Trigger - Poll Data Sources
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
Multi-channel customer sentiment tracker with real-time analytics and alerting
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
How It Works Scheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and u...
Best for
- Market Research automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatazureopenai, @n8n/n8n-nodes-langchain.sentimentanalysis, @n8n/n8n-nodes-langchain.openai
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io source1.1 Workflow description
- Title
- Multi-channel customer sentiment tracker with real-time analytics and alerting
- Workflow name
- Multi-channel customer sentiment tracker with real-time analytics and alerting
How It Works
Scheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and urgency indicators. All processed results are stored in a centralized database for trend tracking. Automated rules identify high-risk or negative sentiment items and trigger alerts to the relevant teams. Dashboards and workflow automation then visualize insights and support follow-up actions.
Setup Instructions
- Data Sources: Connect social media APIs, survey tools, and customer support platforms.
- AI Analysis: Configure the OpenAI API with sentiment and theme-extraction prompts.
- Database: Set up a feedback storage schema in your utility database.
- Alerts: Configure email notifications and CRM triggers for priority issues.
- Dashboards: Link your analytics and reporting tools for real-time insights.
Prerequisites
Social media/survey API credentials; OpenAI API key; database access; CRM system credentials; email notification setup
Use Cases
Customer sentiment tracking; product feedback aggregation; support ticket prioritization; brand monitoring; trend identification
Customization
Adjust sentiment thresholds; add new feedback sources; modify categorization rules
Benefits
Reduces analysis time 85%; captures actionable insights; enables rapid response to issues
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 2 - Workflow Configuration
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 3 - Fetch Social Media Feedback
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 4 - Fetch Email Feedback
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 5 - Fetch Support Tickets
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 6 - Fetch Chat Transcripts
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 7 - Fetch Product Reviews
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 8 - Merge All Feedback Sources
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.2
Block 9 - Clean and Normalize Text Data
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 10 - Unify Data Schema
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 11 - Azure OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
- Config choices
- Version 1
Block 12 - Sentiment Analysis - Positive/Neutral/Negative
- Type / Role
- @n8n/n8n-nodes-langchain.sentimentAnalysis - sentimentAnalysis
- Config choices
- Version 1.1
Block 13 - OpenAI - Emotion Detection
- Type / Role
- @n8n/n8n-nodes-langchain.openAi - openAi
- Config choices
- Version 2
Block 14 - OpenAI - Entity Extraction
- Type / Role
- @n8n/n8n-nodes-langchain.openAi - openAi
- Config choices
- Version 2
Block 15 - Combine Analysis Results
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 16 - Store Feedback in Database
- Type / Role
- n8n-nodes-base.postgres - postgres
- Config choices
- Version 2.6
Block 17 - Calculate Sentiment Trends
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 18 - Aggregate by Entity and Time Period
- Type / Role
- n8n-nodes-base.aggregate - aggregate
- Config choices
- Version 1
Block 19 - Check for Negative Spike
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
Block 20 - Check for Sudden Sentiment Shift
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
Block 21 - Send Alert to Slack
- Type / Role
- n8n-nodes-base.slack - slack
- Config choices
- Version 2.3
Block 22 - Send Alert Email
- Type / Role
- n8n-nodes-base.emailSend - emailSend
- Config choices
- Version 2.1
Block 23 - Update Dashboard - Google Sheets
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 24 - Sync to CRM System
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Showing the first 24 of 40 workflow blocks. Download the JSON for the full node graph.
3. Summary Table
| Workflow | Multi-channel customer sentiment tracker with real-time analytics and alerting |
|---|---|
| Complexity | advanced |
| Nodes | 40 |
| Categories | Market Research, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 12 Nov 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/10762/10762.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
-
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. 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 Multi-channel customer sentiment tracker with real-time analytics and alerting do?
How It Works Scheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and u...
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 Market Research, AI Summarization use case.