AI Driven Skills Gap Analysis and Training Solutions Workflow

AI-Driven Skills Gap Analysis and Training Recommendations

1. Identify Current Workforce Skills

1.1 Data Collection

Utilize AI recruitment tools to gather data on current employee skills through resumes, performance reviews, and employee surveys.

1.2 Tools

• Textio: An AI-powered writing assistant to analyze job descriptions and identify required skills.
• LinkedIn Talent Insights: To assess employee skills and market demand.

2. Analyze Skills Requirements for Manufacturing Roles

2.1 Job Role Analysis

Leverage AI algorithms to analyze job descriptions and industry standards to determine the skills required for various manufacturing positions.

2.2 Tools

• IBM Watson: To analyze job roles and extract essential skills using natural language processing.
• Burning Glass Technologies: For labor market analytics to identify trending skills in manufacturing.

3. Conduct Skills Gap Analysis

3.1 Compare Current Skills with Required Skills

Utilize AI analytics to compare the current skill set of employees against the identified skills required for their roles.

3.2 Tools

• Skillsoft: An AI-driven platform that provides insights into skill gaps through employee assessments.
• Degreed: To visualize skill gaps and track employee progress.

4. Develop Training Recommendations

4.1 Personalized Learning Paths

Implement AI-driven recommendations to create tailored training programs based on individual employee skill gaps.

4.2 Tools

• Coursera for Business: Offers personalized learning paths based on skill gaps identified.
• Pluralsight: Provides skill assessments and recommendations for targeted learning.

5. Implement Training Programs

5.1 Delivery of Training

Utilize AI platforms to deliver training programs through various formats such as online courses, workshops, or on-the-job training.

5.2 Tools

• Udemy for Business: To provide a wide range of courses tailored to manufacturing skills.
• LinkedIn Learning: For continuous learning and skill development in relevant areas.

6. Monitor Progress and Adjust Training

6.1 Performance Tracking

Use AI analytics to monitor the effectiveness of training programs and the improvement in employee skills over time.

6.2 Tools

• Docebo: An AI-powered learning management system to track employee progress and engagement.
• Workday: For performance management and skill tracking.

7. Feedback Loop

7.1 Continuous Improvement

Gather feedback from employees and management to refine the skills gap analysis and training recommendations process.

7.2 Tools

• SurveyMonkey: To collect feedback on training effectiveness.
• Qualtrics: For employee experience management and insights.