Sentiment analysis tracking on support issues with Linear and Slack

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n template monitors active support issues in Linear.app to track the mood of their ongoing conversation between reporter and assignee using Sentiment Analysis. When sentiment dips into the n...

Best for

Ticket Management automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.splitinbatches, n8n-nodes-base.airtable, n8n-nodes-base.airtabletrigger, n8n-nodes-base.switch

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Sentiment analysis tracking on support issues with Linear and Slack
Workflow name: Sentiment analysis tracking on support issues with Linear and Slack

How it works

A scheduled trigger is used to fetch recently updated issues in Linear using the GraphQL node.
Each issue's comments thread is passed into a simple Information Extractor node to identify the overall sentiment.
The resulting sentiment analysis combined with the some issue details are uploaded to Airtable for review.
When the template is re-run at a later date, each issue is re-analysed for sentiment
Each issue's new sentiment state is saved to the airtable whilst its previous state is moved to the "previous sentiment" column.
An Airtable trigger is used to watch for recently updated rows
Each matching Airtable row is filtered to check if it has a previous non-negative state but now has a negative state in its current sentiment.
The results are sent via notification to a team slack channel for priority.

Check out the sample Airtable here: https://airtable.com/appViDaeaFw4qv9La/shrq6HgeYzpW6uwXL

How to use

Modify the GraphQL filter to fetch issues to a relevant issue type, team or person.
Update the Slack channel to ensure messages are sent to the correct location or persons.
The Airtable also serves to give a snapshot of Sentiment across support tickets for a given period. It's possible to use this to assess the daily operations.

Requirements

Linear for issue tracking (but feel free to use another system if preferred)
Airtable for Database
OpenAI for LLM and Sentiment Analysis

Customising the workflow

Add more granular levels of sentiment to reduce the number of alerts.
Explore different types of sentiment based on issue types and customer types. This may help prioritise alerts and response.
Run across teams or categories of issues to get an overview of sentiment across the support organisation.

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 - Issues to List

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

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 3 - Combine Sentiment Analysis

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - Sentiment over Issue Comments

Type / Role: @n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices: Version 1

Block 5 - Copy of Issue

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - For Each Issue...

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 7 - Get Existing Sentiment

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

Block 8 - Update Row

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

Block 9 - Airtable Trigger

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

Block 10 - Sentiment Transition

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

Block 11 - Fetch Active Linear Issues

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

Block 12 - Schedule Trigger

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

Block 13 - Deduplicate Notifications

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

Block 14 - Report Issue Negative Transition

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

Block 15 - Sticky Note

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

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - Sticky Note3

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

Block 19 - Sticky Note4

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

3. Summary Table

Workflow	Sentiment analysis tracking on support issues with Linear and Slack
Complexity	advanced
Nodes	19
Categories	Ticket Management, AI Summarization
Author	Jimleuk
Published	17 Dec 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2647/2647.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.

Download workflow JSON Original n8n.io source Ticket Management workflows AI Summarization workflows

Frequently asked questions

What does Sentiment analysis tracking on support issues with Linear and Slack do?

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 Ticket Management, AI Summarization use case.

Jimleuk

100 workflows

Nodes

n8n-nodes-base.splitout @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.set @n8n/n8n-nodes-langchain.informationextractor n8n-nodes-base.splitinbatches n8n-nodes-base.airtable n8n-nodes-base.airtabletrigger n8n-nodes-base.switch

Complexity

advanced

Published 17 Dec 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2647/2647.json

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Sentiment analysis tracking on support issues with Linear and Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to use

Requirements

Customising the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Issues to List

Block 2 - OpenAI Chat Model

Block 3 - Combine Sentiment Analysis

Block 4 - Sentiment over Issue Comments

Block 5 - Copy of Issue

Block 6 - For Each Issue...

Block 7 - Get Existing Sentiment

Block 8 - Update Row

Block 9 - Airtable Trigger

Block 10 - Sentiment Transition

Block 11 - Fetch Active Linear Issues

Block 12 - Schedule Trigger

Block 13 - Deduplicate Notifications

Block 14 - Report Issue Negative Transition

Block 15 - Sticky Note

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - Sticky Note3

Block 19 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions