Automated Sentiment Monitoring and Alerts for Issues

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This n8n workflow automates the process of monitoring active issues in Linear, analyzing their sentiment based on comments, and notifying the team when negative sentiment transitions occur. First, it scheduled fetches recent updates from Linear’s GraphQL API, then uses AI for sentiment analysis on comments. The results, along with issue details, are stored in Airtable for tracking. When an issue’s sentiment shifts from non-negative to negative, an Airtable trigger detects this change, and a Slack notification alerts the team to prioritize or address the issue promptly. This workflow is ideal for customer support, project management, or issue tracking teams aiming to proactively manage negative customer feedback or problem escalation.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, airtable, airtableTrigger, graphql, removeDuplicates, scheduleTrigger, set, slack, splitInBatches, splitOut, stickyNote, switch

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