Automate Passive Candidate Sourcing & Engagement with AI Scoring & Gmail

This n8n workflow streamlines the process of identifying, scoring, and engaging with passive candidates. It reads candidate data from a Google Sheet, processes it for potential outreach, and facilitates sending personalized emails via Gmail based on an AI-driven scoring mechanism.

What it does

1. Triggers Manually: The workflow is initiated manually, allowing for on-demand processing of candidate lists.
2. Reads Candidate Data: It fetches candidate information from a specified Google Sheet, acting as the primary source for candidate profiles.
3. Processes Candidate Data (Placeholder): A "Code" node is included, likely intended for custom logic to process or transform the candidate data from the Google Sheet. This could involve data cleaning, formatting, or preparing data for AI scoring.
4. Scores Candidates (Placeholder for AI): An "HTTP Request" node is present, which would typically be used to send candidate data to an external AI service (e.g., Hunter.io AI scoring as hinted by the directory name) for evaluation and scoring.
5. Conditional Engagement: An "If" node evaluates the AI score or other criteria, branching the workflow based on whether a candidate meets the engagement threshold.
6. Engages High-Scoring Candidates: For candidates who meet the specified criteria, a "Gmail" node is used to send personalized outreach emails.
7. Delays Further Actions: A "Wait" node is included, likely to introduce a delay between sending emails or before any follow-up actions, adhering to best practices for email outreach.
8. Documents Workflow Steps: A "Sticky Note" is included, which can be used to add comments or explanations directly within the workflow for better understanding and maintenance.

Prerequisites/Requirements

• n8n Instance: A running instance of n8n.
• Google Sheets Account: To store and manage candidate data.
• Gmail Account: For sending outreach emails.
• Hunter.io Account (or similar AI scoring service): An API key and access to a candidate scoring service would be required for the "HTTP Request" node to function as intended for AI scoring.
• Google OAuth Credentials: For both Google Sheets and Gmail nodes to authenticate with your Google account.

Setup/Usage

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Google Sheets Node:
   • Set up your Google Sheets credentials (OAuth).
   • Specify the Spreadsheet ID and Sheet Name where your candidate data is located.
3. Configure HTTP Request Node (for AI Scoring):
   • Set up the URL for your Hunter.io AI scoring API endpoint (or similar service).
   • Configure the HTTP Method (e.g., POST) and Headers (e.g., Authorization with your API key).
   • Map the candidate data from the previous nodes to the Body of the request in the format required by the AI scoring service.
4. Configure Code Node:
   • Modify the JavaScript code within this node to perform any necessary data manipulation or preparation before sending to the AI scoring service.
5. Configure If Node:
   • Set the Conditions based on the output of the AI scoring (e.g., {{ $json.score > 70 }}). This will determine which candidates proceed to the Gmail step.
6. Configure Gmail Node:
   • Set up your Gmail credentials (OAuth).
   • Define the Recipient Email using an expression to pull the email address from the candidate data (e.g., {{ $json.email }}).
   • Compose the Subject and Body of the email, using expressions to personalize the message with candidate details (e.g., {{ $json.firstName }}).
7. Configure Wait Node:
   • Adjust the Delay Time as needed to manage your email sending rate.
8. Execute the Workflow: Click "Execute workflow" to run the process manually.