Automate candidate rejections with GPT-4o-mini, Gmail & ClickUp task tracking

Description Streamline interview feedback handling with this rejection-focused workflow. It processes raw interview feedback, applies an AI-powered scoring model, checks against a threshold, and automatically sends polite rejection emails while logging tasks in ClickUp—ensuring consistent, hands-free candidate management.

What This Template Does

📋 Pulls raw feedback data from Google Sheets 🧠 Uses GPT-4o-mini to structure and score candidate profiles ⚖️ Applies threshold check (average score > 3.1 = pass, else reject) 🔀 Routes candidates via decision branch (pass = no action, fail = rejection) 📩 Sends templated rejection email via Gmail 🗂 Creates ClickUp task for rejection tracking (7-day due date)

Prerequisites

- Google Sheets with interview feedback data - n8n instance (self-hosted or cloud) - Azure OpenAI (GPT-4o-mini) API key for AI-powered analysis - Gmail API credentials (for sending rejection emails) - ClickUp API credentials (for rejection task logging)

Step-by-Step Setup

- Connect Google Sheets node to fetch feedback data. - Configure LangChain LLM node with GPT-4o-mini to structure and score feedback. - Add Code node to apply rejection threshold (> 3.1). - Route candidates via If node (TRUE = pass, FALSE = rejection). - For failed candidates: - Use Code node to prepare structured data. - Send rejection email with Gmail node. - Log decision with ClickUp task creation node.

Customization Ideas