Work evaluation system

Abstract

The invention discloses a work evaluation system, comprising a work locking module, a work segmentation module, a work diary module, a work hour analysis module and an effective work analysis module, wherein the work locking module is used for locking work tasks, the work segmentation module is used for dividing a work processing flow into a plurality of work stages, the work diary module is used for workers to input work diaries, the content of which comprises work hours everyday as well as work tasks, work stages and/or event termination marks, corresponding to the work hours, the work hour analysis module is used for analyzing the work hour curve of a worker in a preset time segment according to the work diary of the worker, and the effective work analysis module is used for analyzing the effective work curve of the worker in a preset time segment according to the work diary. Accordingly, the system can realize artificially intelligentized work evaluation, not only can improve evaluation efficiency, but also can greatly improve the accuracy, the objectivity and the fairness of an evaluation result.

Description

technical field [0001] The invention relates to an intelligent job evaluation system. Background technique [0002] With the development of social economy, the competition among enterprises is becoming increasingly fierce. To increase their own competitiveness, enterprises must improve the quality of their employees so that they can work efficiently. Therefore, almost every company has a special evaluation system for employees, so as to urge employees to work conscientiously and efficiently. [0003] Generally speaking, the company's evaluation includes ability evaluation and diligence evaluation. Ability evaluation refers to the evaluation of the employee's ability to assume a position within a certain period of time with reference to functional standards; Working hours are assessed. However, these evaluations are usually completed under the supervision of superior evaluators, and the evaluation results are obtained through the evaluators' usual observation of employees a...

AI Technical Summary

Problems solved by technology

However, these evaluations are usually completed under the supervision of superior evaluators, and the evaluation results are obtained through the evaluators' usual observation of employees and other work conditions, but such evaluations are inevitably unfair and open. Some employees have biases such as disgust, sympathy, or have different views on employees of different levels, so such evaluations are likely to be biased

[0004] In summary, it can be seen that the job evaluation scheme in the prior art obviously has inconvenience and defects in practical application, so it is necessary to improve it

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