- Customer Support Teams: Teams handling customer inquiries and issues can utilize this workflow to monitor sentiment around their interactions and prioritize responses accordingly. - Project Managers: Those overseeing projects can keep an eye on team morale and customer feedback, ensuring that negative sentiments are addressed swiftly. - Data Analysts: Analysts can leverage the data collected in Airtable to analyze trends in customer sentiment over time, enabling informed decision-making. - Developers: Developers looking to integrate automated sentiment analysis into their applications can use this workflow as a template for their own automation needs.
Problem Solved
Problem Solved
This workflow addresses the challenge of effectively monitoring and managing customer sentiment around issues in Linear. By automating sentiment analysis on issue comments, teams can quickly identify when sentiment shifts to negative, allowing them to take prompt action. This proactive approach helps in preventing escalations and enhances customer satisfaction by ensuring timely responses to potential issues.
Workflow Steps
Workflow Steps
1. Scheduled Trigger: The workflow initiates every 30 minutes, fetching recently updated issues from Linear using the GraphQL node. 2. Fetch Active Linear Issues: It retrieves issues, including comments, from the Linear API to analyze recent interactions. 3. Sentiment Analysis: Each issue's comments are processed through the Information Extractor node, which evaluates sentiment and generates insights. 4. Combine Results: The sentiment analysis results are combined with issue details for further processing. 5. Store in Airtable: The workflow checks if the sentiment data already exists in Airtable. If it does, it updates the existing record; if not, it creates a new entry, capturing both the current and previous sentiment. 6. Monitor Sentiment Transition: When the sentiment changes from non-negative to negative, the workflow triggers a notification. 7. Deduplicate Notifications: To prevent multiple alerts for the same issue, the workflow removes duplicates. 8. Send Alerts via Slack: Finally, a notification is sent to a designated Slack channel, informing the team about issues that have transitioned to negative sentiment.
Customization Guide
Customization Guide
- Adjust the Schedule: Modify the Schedule Trigger interval to suit your needs, whether you want more frequent checks or less. - GraphQL Query: Tailor the Fetch Active Linear Issues query to filter issues based on specific criteria, such as status or assignee. - Sentiment Analysis Settings: Customize the Information Extractor parameters to adjust how sentiment is analyzed based on your specific conversational context. - Airtable Integration: Change the Airtable base and table IDs to connect the workflow to your own database. Ensure the fields match your data structure. - Slack Notifications: Update the Slack channel ID to direct notifications to the appropriate team or channel, ensuring the right stakeholders are informed.