Description
Automatically track the emotional tone of support threads and escalate negative interactions to your team via Slack—powered by sentiment-aware AI in n8n.
This automation scans conversations in Linear issues, detects negative sentiment trends, and proactively alerts the right people before things spiral.
🧠 How It Works:
✅ A scheduled trigger fetches recently updated issues from Linear using a GraphQL query ✅ Each issue’s comment thread is analyzed via a Sentiment Extractor AI node ✅ The sentiment results, along with issue metadata, are saved to Airtable ✅ On each run, current sentiment is compared with previous sentiment states ✅ If the sentiment shifts from positive/neutral to negative, it’s flagged for escalation ✅ A Slack notification is sent to alert the appropriate team or channel ✅ Airtable acts as a dashboard to monitor and audit issue sentiment over time
🔍 It Automates:
✅ Real-time tracking of sentiment in customer support threads ✅ Detection of deteriorating tone in conversations ✅ Auto-escalation of negative issues to Slack ✅ Logging sentiment changes with timestamps in Airtable ✅ Snapshot views of support health across teams or timeframes
💡 Why Choose This Workflow:
✅ Prevents customer churn by surfacing unhappy conversations early ✅ Gives your support team time to act before issues escalate ✅ Adds emotional intelligence to your ticket tracking ✅ Works across multiple teams or customer categories ✅ Fully customizable for your sentiment logic and alert conditions
👤 Who Is This For:
✅ Support teams using Linear for issue tracking ✅ Managers who want real-time insights into team-customer tone ✅ Ops teams looking to reduce customer complaints ✅ CX leaders tracking sentiment trends over time ✅ Anyone tired of reactive support—this makes it proactive
🔗 Integrations:
✅ Linear (via GraphQL API) ✅ Airtable (for storing and tracking sentiment history) ✅ Slack (for instant alerting) ✅ n8n Scheduler, Webhooks, and Filter nodes ✅ Optional: Custom AI sentiment APIs or LLMs for nuanced analysis
🚀 Track Mood, Save Customers – Automate Support Insights Import this workflow, tweak the GraphQL filters and Slack targets, and you’re ready to go. Detect emotion in real-time and build a more empathetic support operation.
Link : [https://lovable.dev/projects/3b602661-72c2-4b22-8405-bf699a24f39c]
