Gong Call Summary and Insights
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Extracts key information, transcript, and insights from Gong calls for analysis and reporting.
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About This Workflow
Overview
This workflow automates the process of retrieving detailed data from Gong calls. It fetches call transcripts, participant information, and other relevant metadata to generate a comprehensive summary. The extracted information can be used for sales analysis, coaching, and performance tracking.
Key Features
- Fetches detailed call data including content, interaction, and collaboration aspects.
- Retrieves call transcripts and organizes them by speaker and sentence.
- Isolates and structures metadata such as company name, attendees (internal and external), call title, duration, Gong Call ID, and URL.
- Determines the primary company domain from external attendee emails.
- Enriches the conversation data by mapping speaker IDs to their affiliations (Internal, External, Unknown).
- Formats the conversation into a readable string with speaker affiliations.
How To Use
- Import the workflow: Upload the JSON file to your n8n instance.
- Configure Credentials: Set up your Gong API credentials (ensure the
httpHeaderAuthis correctly configured). - Set Environment Variables: Define the
API_BASE_URLenvironment variable for your Gong API endpoint. - Trigger the Workflow: The workflow is triggered by the
Execute Workflow Triggernode. You'll need to ensure the input data for this trigger includes the necessarycalldatawithcalls.idto initiate the data retrieval from Gong. - Process Output: The workflow outputs structured data containing call summaries, transcripts, and metadata. This can be further processed by subsequent nodes for reporting, CRM integration, or other automation tasks.
Apps Used
Workflow JSON
{
"id": "aeca9849-132a-436a-b285-b14112e91fd9",
"name": "Gong Call Summary and Insights",
"nodes": 0,
"category": "Splitout",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: aeca9849-132a...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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