AI Driven Talent Analytics and Retention Prediction Workflow

Talent Analytics and Retention Prediction Workflow

1. Data Collection

1.1 Identify Key Data Sources

Utilize various data sources to gather relevant information on potential candidates and current employees. Key sources include:

• Applicant Tracking Systems (ATS)
• Employee Performance Management Systems
• Social Media Platforms
• Industry-specific Job Boards

1.2 Implement Data Gathering Tools

Integrate AI-driven tools to automate data collection:

• HireVue: AI-powered video interviewing platform that analyzes candidate responses.
• LinkedIn Talent Insights: Provides real-time data on talent trends and workforce analytics.

2. Data Analysis

2.1 Analyze Candidate Profiles

Utilize AI algorithms to evaluate candidate profiles against job requirements.

• IBM Watson Recruitment: Uses AI to match candidates with job descriptions based on skills and experiences.

2.2 Employee Performance Analysis

Assess current employee performance data to identify retention risks:

• Visier: Provides insights into employee performance and turnover rates.

3. Predictive Analytics

3.1 Develop Predictive Models

Use machine learning techniques to create predictive models for employee retention:

• Tableau: Visualization tool that can help interpret predictive analytics results.

3.2 Risk Assessment

Identify employees at risk of leaving based on predictive model outputs.

4. Strategy Development

4.1 Tailor Retention Strategies

Develop targeted retention strategies based on analysis:

• Personalized career development plans
• Enhanced employee engagement programs

4.2 Implement AI-driven Engagement Tools

Utilize AI tools to enhance employee engagement:

• Glint: Employee engagement platform that analyzes feedback and suggests improvements.

5. Continuous Monitoring and Improvement

5.1 Monitor Employee Satisfaction

Regularly assess employee satisfaction through surveys and feedback mechanisms:

• Qualtrics: Experience management platform for conducting employee surveys.

5.2 Adjust Strategies Based on Feedback

Continuously refine retention strategies based on employee feedback and predictive analytics outcomes.

6. Reporting and Review

6.1 Generate Reports

Create comprehensive reports on talent analytics and retention predictions for stakeholders.

6.2 Review and Optimize Workflow

Regularly review the workflow process to identify areas for optimization and improvement.