Webhook Automate

This workflow is ideal for:

• Developers and Builders: Individuals creating voice agents using Retell AI who need to log call data efficiently.
• Data Analysts: Professionals looking to analyze call transcripts and summaries for insights and improvements.
• Business Owners: Companies wanting to maintain a detailed history of customer interactions for better service and decision-making.
• Project Managers: Those overseeing projects that involve customer interactions and need to track performance metrics.

This workflow addresses the following challenges:

• Manual Data Entry: Eliminates the need for manual entry of call data into databases like Airtable, Google Sheets, or Notion, saving time and reducing errors.
• Data Organization: Automatically organizes call transcripts, analyses, and metadata into structured formats for easy access and review.
• Real-time Updates: Ensures that call data is recorded immediately after analysis, providing up-to-date information for stakeholders.

The workflow operates through the following steps:

1. Webhook Trigger: Receives a POST request from Retell AI when a call has been analyzed, specifically looking for the call_analyzed event.
2. Filtering Events: Uses a filter node to ensure that only relevant call_analyzed events are processed, ignoring other webhook events like call_started or call_ended.
3. Data Preparation: Sets up fields to export, extracting essential details such as:
   • Call ID
   • Start and End Datetime
   • Duration in seconds
   • Transcript
   • Call Summary
   • User Sentiment
   • Phone Number
   • Total Cost in Dollars
4. Saving to Multiple Platforms: The prepared data is then saved to:
   • Airtable for structured database management.
   • Google Sheets for spreadsheet analysis.
   • Notion for project and task management.
5. Completion: The workflow concludes once the data is successfully saved to the selected platforms, ensuring that all information is readily available for future reference and analysis.