KPI statistical system and KPI statistical method

Abstract

The present invention discloses a KPI statistical system and a KPI statistical method. The system comprises git software, a project warehouse associated database, a server, an instruction analyzing module, a workflow module and a KPI report module, wherein the server is a webhook pointing server in a git warehouse; a git server triggers webhook to transmit a commit instruction to the instruction analyzing module, and the instruction analyzing module analyzes project information; the workflow module is used for receiving the project information, associating the project information with a task point if the task point with which a task number needs to be associated exists, or creating a new task point, associating the project information with the task point, simultaneously acquiring a project name and a staff ID, and storing KPI information; and the KPI report module is used for KPI statistics. According to the KPI statistical system and the KPI statistical method, the time of writing KPI by a software engineer can be reduced, data required by KPI reports is efficiently and accurately obtained in a centralized manner, and the KPI reports are automatically provided for decision-making and management levels for reference, so that project resources are dynamically and effectively allocated, the work efficiency is greatly improved, and the error rate is very low.

Description

technical field [0001] The invention belongs to the field of KPI statistics, in particular to a KPI statistics system and a KPI statistics method. Background technique [0002] KPI statistics refer to key performance indicator (KPI: KeyPerformanceIndicator) statistics, which are obtained by decomposing and quantifying the total task into multiple types of small tasks, and then counting the completion status and completion time of each staff member for various small tasks to obtain KPI statistics result. Decision-making and management use KPI statistical results to measure the work performance of staff, and dynamically and effectively allocate various resources. [0003] In traditional KPI statistics, software engineers are required to manually write workload forms on a daily or weekly basis, and then submit them to superiors or other departments for monthly or annual KPI statistics. These KPIs also need to be divided into projects and teams manually, and related to the spe...

AI Technical Summary

Problems solved by technology

These KPIs also need to be manually divided into projects, teams, and related to specific project progress, which brings additional tasks to relevant personnel in addition to project development, wasting a lot of time

[0004] As a software engineer is a profession that focuses on high-intensity mental work and is based on logical coherence and compactness, writing KPI reports is a cumbersome and time-consuming task for software engineers.

[0005] In order to solve the problem of time for engineers to write KPI and the cumbersome problem of KPI arrangement, this solution was developed