Performance data acquisition method and device and storage medium

Abstract

The invention provides a performance data acquisition method and device and a storage medium, and the method comprises the steps: obtaining the work order data of a to-be-processed work order from a cloud platform according to a work order identification included in a work order completion instruction after the work order completion instruction is received; inputting the work order data of the to-be-processed work order into the performance model; and obtaining performance data of the to-be-processed work order, the performance model being used for representing a corresponding relationship between the attribute value of the work order data and the performance data, displaying the performance data of the to-be-processed work order, and sending the performance data of the to-be-processed work order to a terminal of the to-be-processed work order when the performance data of the to-be-processed work order is valid. According to the performance data acquisition method provided by the invention, the problem of presetting assessment conditions in the prior art is avoided, and the assessment efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a performance data acquisition method, device and storage medium. Background technique [0002] The development of an enterprise depends on a good system, and a scientific performance appraisal system can promote the enthusiasm of employees in the enterprise. [0003] In the prior art, when conducting performance appraisal, the appraisal methods usually adopted include: simple sorting method, mandatory classification method, element evaluation method, 360-degree appraisal method and so on. Among them, the simple sorting method needs to set assessment conditions in advance, such as setting assessment conditions for each attribute value in the user's work data, obtaining the comprehensive score of the user, and then sorting the comprehensive scores of all users, and sorting the performance data according to the user's ranking. of acquisition. The mandatory classif...

AI Technical Summary

Problems solved by technology

[0004] The methods in the prior art all need to pre-set assessment conditions, classification conditions or assessment factors, etc. Presetting accurate assessment conditions, classification conditions or assessment factors requires a lot of setting time; and the set assessment conditions, classification conditions or assessment factors There may also be situations where the user's performance data cannot be accurately obtained

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