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Occupational survey method and system

A professional and field technology, applied in the field of big data, can solve problems such as small amount of information, small amount of information collection, and credit risk, and achieve the effect of small evaluation factors, high reference value, and large amount of information

Inactive Publication Date: 2018-09-21
考拉征信服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The survey methods of the prior art have the following problems: on the one hand, because the current survey method is completed by manual interviews, the data range reflected in the generated interview reports is too narrow, the amount of information is small, the efficiency is low, and human Evaluate issues with high impact, thus affecting the reference value of the interview report
On the other hand, due to the overly stylized setting of the survey items in the interview report, the survey items cannot meet the differences of positions, and there are inherent shortcomings of manual operation, such as the amount of information collected is too small, and the company's own credit itself is underestimated. There may also be factors such as risks, which lead to the uniformity of the survey results and cannot provide a sufficiently accurate judgment of the risk of performance of duties

Method used

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  • Occupational survey method and system

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0069] Example 1: Survey Checklist Form A

[0070] Survey item name

Survey item content

Survey item type

Investigate the cause

Name

Zhang San

fixed

none

highest education

PhD

fixed

job requirements

Leave status

resign

automatic

Multiple data source conflicts

[0071]As shown in Table A of the survey list, the survey list includes three survey items: "name", "highest education level" and "resignation status". Wherein, each survey item includes the following four fields: a survey item name field, a survey item content field, a survey item type field, and a survey reason field. Among them, the survey item types include "fixed" and "automatic". Wherein, "fixed" indicates that the survey item is a must-see item, and the survey item is preset in the survey list template. Among them, "field" indicates that the survey item is an optional item, and the survey item is not pre-set in the survey checklist...

example 2

[0075] Example 2: Survey Checklist Form B

[0076] Survey item name

example 3

[0077] Example 3: Survey Checklist Form C

[0078]

[0079]

[0080] Among them, the survey lists Table B and Table C are different survey lists for the same respondent Zhao Si. The reason for the different survey lists is that these two survey lists correspond to different positions entered by the enterprise client. The request information is adaptively generated. Among them, Table B is a survey list for software engineer positions. Table C is a survey checklist for project manager positions.

[0081] Among them, in Form B of the survey list, the penultimate field is the field for software engineer certification. This field is automatically generated by the server based on the occupational credit information big data and the input job requirement information. This field is more relevant to software engineers among many occupational credit information big data fields, so it appears in this list and may be extracted at the same time Go to "Complete X project developmen...

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Abstract

The invention relates to an occupational survey method and system, which relates to the technical field of big data. The method comprises the steps of obtaining identifier information and position requirement information of a surveyed person; based on the identifier information, performing retrieval to obtain occupational credit investigation information of the surveyed person; extracting fields associated with the position requirement information from the occupational credit investigation information; and filling a pre-stored survey list template with the fields associated with the position requirement information to generate a survey list. Compared with a survey list generated in a manual access mode in the prior art, the occupational survey method and system has the beneficial effects of high efficiency, high precision, small influence of human subjective evaluation factors, large information amount, high reference value of a generated survey report and the like.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method and system for occupational investigation. Background technique [0002] In the prior art, when an enterprise recruits personnel, it needs to investigate the professional credit level of the job seeker, that is, the occupational credit investigation. Since the occupational credit investigation needs to spend a lot of time and energy to find the survey data, the enterprise generally entrusts a professional background check company. [0003] For background check companies, the traditional way of investigation is to conduct face-to-face or telephone interviews with persons related to the respondent's previous professional experience (for example: former employers or former colleagues), and write interview reports based on the interview results. . [0004] The survey methods of the prior art have the following problems: on the one hand, because the current survey method i...

Claims

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Application Information

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IPC IPC(8): G06Q10/10
CPCG06Q10/105
Inventor 王艳
Owner 考拉征信服务有限公司
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