Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS Copy
This workflow implements the intelligent automation of the entire recruitment process, including online candidate applications, resume parsing and scoring, AI behavioral interview assessments, and updates to the recruitment management system. By combining natural language processing and AI voice technology, it significantly improves recruitment efficiency and accuracy, streamlines resume handling and interview scheduling, and helps companies quickly filter suitable talent, enhance recruitment quality, and reduce manual workload. It is suitable for companies and HR teams that require efficient recruitment.
Workflow Name
Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS Copy
Key Features and Highlights
This workflow enables end-to-end automation from candidate online application, resume extraction and scoring, AI-driven behavioral interview assessment, to updates in the recruitment management system. By integrating Google Gemini’s natural language processing capabilities, Elevenlabs’ AI voice interaction, and Notion ATS’s database management, it significantly enhances recruitment efficiency and accuracy. Highlights include:
- Integrated multi-position online application forms with automatic job code matching
- Automated parsing of PDF resumes to extract education, work experience, skills, and years of experience
- Resume matching and scoring based on job descriptions and AI models to assist HR professionals in candidate evaluation
- AI voice agent conducts behavioral interviews, recording in real-time and generating interview assessments and scores
- Interview recordings and transcriptions automatically saved to Google Drive and embedded in Notion ATS for easy recruiter review
- Dual “human-AI interaction” touchpoints: recruiters can view AI evaluation results on a Notion dashboard to expedite interview progression
- Full data synchronization to Google Sheets for compliance reporting and subsequent analysis
Core Problems Addressed
- Cumbersome resume processing with time-consuming and subjective manual screening
- Limited resources for behavioral interviews, making it difficult to quickly cover large candidate pools
- Dispersed recruitment information lacking a unified and transparent candidate evaluation and management platform
- Difficulty integrating AI evaluation results intuitively into recruitment systems, impacting decision-making efficiency
Use Cases
- Corporate recruitment teams seeking automated resume screening and AI-assisted interview solutions
- HR departments aiming to accelerate hiring speed and improve interview quality while reducing manual workload
- Organizations using Notion as their ATS system requiring seamless integration of AI evaluations with recruitment data
- Recruitment processes needing automated behavioral interviews with interview recording and evaluation preservation
Main Process Steps
- Candidates submit applications via an n8n online form embedded on the Notion careers page, uploading PDF resumes.
- The system automatically uploads resumes to Google Drive, parses content, and extracts key information such as personal details, education, work experience, and skills.
- Using the job code, the corresponding job description is retrieved from the Notion ATS database and summarized.
- Google Gemini language model and custom prompts are used to match and score the candidate’s resume against job requirements, providing detailed evaluations.
- Evaluation results are stored in Notion ATS and backed up to Google Sheets.
- Candidates are invited to behavioral interviews conducted by Elevenlabs’ AI voice agent, which records and transcribes responses automatically.
- The AI agent scores and summarizes interview content based on job-specific behavioral evaluation criteria defined in Notion.
- Interview scores and recordings are automatically updated in Notion ATS, enabling recruiters to review and schedule follow-up interviews based on AI assessments.
- All data is centrally managed to support end-to-end recruitment tracking and compliance reporting.
Systems and Services Involved
- Google Drive: Storage for resumes and interview recording files
- Google Sheets: Backup of applicant data and evaluation results
- Notion ATS: Recruitment management database storing job information, applicant records, and AI evaluation data
- Elevenlabs: AI voice interview agent handling behavioral interview recording and real-time assessment
- Google Gemini (PaLM): Powerful natural language model used for resume parsing, job description summarization, and AI scoring
- n8n: Workflow automation platform orchestrating data flow and logic across all stages
Target Users and Value
- Recruitment Teams and HR Specialists: Significantly improve resume screening and interview evaluation efficiency, reduce repetitive tasks, and strengthen decision-making basis
- Corporate Management: Enhance hiring quality and talent matching through standardized, quantifiable AI assessments
- Medium to Large Enterprises and High-Volume Hiring Organizations: Support concurrent multi-position recruitment and rapid processing of large application volumes
- Organizations Using Notion as ATS: Achieve seamless AI integration with existing recruitment systems, improving data management and visualization
- Organizations Seeking AI-Driven Recruitment Innovation: Realize intelligent end-to-end recruitment automation, lower labor costs, and enhance candidate experience
This workflow leverages high automation and AI empowerment to build an intelligent, efficient, and scalable recruitment solution, enabling enterprises to digitally transform the entire process from candidate application to behavioral interview evaluation.