This workflow streamlines the hiring process by transforming raw interview transcripts into polished, comprehensive hiring briefs and interview scorecards within minutes. It begins with a user-uploaded PDF of the interview transcript via a form trigger. The PDF is then processed to extract text, which is summarized into a clear, markdown-formatted brief using OpenAI’s language model. Simultaneously, the workflow generates concise interview scorecards tailored for each stage of the hiring process, also utilizing AI, providing a structured assessment template. The summarized brief and scorecards are automatically created as Google Docs, making it easy for recruiting teams to review and share. This automation significantly reduces manual effort, accelerates the hiring cycle, and ensures consistency and thoroughness in candidate evaluations, making it ideal for HR teams, talent acquisition managers, and recruiters seeking to optimize interview processes.
Automated Hiring Brief & Scorecard Generation Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, extractFromFile, formTrigger, googleDocs, stickyNote |
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