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How to use Employee Data to Measure Employee Skill Level

Employee data provides useful insights on the worker’s skill level and work performance. You can measure specific metrics from employee data to assess their performance on the job. Knowing how to use employee data for measurement of employee skills will help determine the areas in need of additional training and development. Shook, Sage-Gavin, and Cantrell (2019) conducted a survey on organisations’ use of data to determine employee skills. In the survey, 11 400 employees, including top executives, gave feedback on queries regarding how data on employees’ skills is used in their organisation. The survey results indicated that 90% of the workers and top executives considered employee data an important tool in determining employee skills. Metrics from employee data that are most useful in measuring employees’ skill levels include work quality and quantity, efficiency, and organisational performance.  

Measuring Work Quantity and Quality 

The analysis of employee data can provide useful pointers about the quantity of work of each employee for a specific period. Weighing the quantity of work done against the set limits produces useful information about the employee’s skills. Skilled workers are able to meet the set volumes of work even while under pressure. Lacking the ability to meet milestones reveals the need for additional employee training. 

When it comes to evaluation of work, the quantity goes along with the evaluation of employee work quality. The work completed by the employees is measured against set quality standards. Quality control measures address the needs of the business and expectations of customers. Thus, employee data can reveal employees who produce a lower quality of work. Low work quality is an indication of insufficient training or skill level. Employees may need engagement in further training for the areas identified with low quality of work.  

Determining the Organisation’s Overall Performance 

The overall performance of the business is an indication of efforts from all the workers involved. Workers in different departments contribute their individual expertise towards the success of the business. Having employees with the right skills and adequate level of training is reflected in organisational performance. The evaluation of business success is often determined on the basis of profits and losses. Profitability suggests skilled and exemplary employees. In comparison, losses in the business give evidence of insufficient skills among employees.  

The evaluation of competency gaps assesses how each employee contributes to the overall success of the business. Using insights from employee data can help in closing competency gaps and aligning employee skills with the organisation’s strategic goals and objectives. The use of employee data is, therefore, not only important for improving organisation performance but also in implementing employee training and development programs.  

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