AI Driven Resume Screening and Ranking Workflow for Hiring

Intelligent Resume Screening and Ranking

1. Job Requirement Analysis

1.1 Define Job Criteria

Identify specific skills, qualifications, and experience required for the manufacturing role.

1.2 Utilize AI Tools

Implement AI-driven tools such as Textio to enhance job descriptions for clarity and inclusivity.

2. Resume Collection

2.1 Centralized Application Portal

Create a centralized platform for candidates to submit their resumes, such as Greenhouse or Lever.

2.2 Resume Format Standardization

Encourage standardized resume formats to facilitate AI processing.

3. AI-Powered Resume Screening

3.1 Implement AI Screening Tools

Utilize AI tools like HireVue and Pymetrics to analyze resumes against job criteria.

3.2 Keyword Extraction

Employ natural language processing (NLP) to extract relevant keywords and phrases from resumes.

4. Resume Ranking

4.1 Scoring System Development

Develop a scoring system based on predefined criteria, leveraging AI algorithms for accuracy.

4.2 Ranking Candidates

Use tools like Eightfold.ai to rank candidates based on their fit for the role.

5. Shortlisting Candidates

5.1 Automated Shortlisting

Implement automated shortlisting based on AI-generated scores, ensuring a diverse candidate pool.

5.2 Manual Review

Allow HR professionals to manually review top-ranked candidates for final assessment.

6. Interview Scheduling

6.1 AI Scheduling Assistants

Utilize AI-driven scheduling tools like Calendly or Clara to streamline interview arrangements.

7. Feedback and Continuous Improvement

7.1 Candidate Experience Feedback

Collect feedback from candidates regarding the application process to identify areas for improvement.

7.2 AI Model Refinement

Continuously refine AI models based on feedback and hiring outcomes to enhance screening accuracy.