JP7081036B1 - Output device and output method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an output device and an output method capable of supporting the planning of appropriate measures.
An output device includes an output unit that outputs a classification result in which the two or more members are classified into each of the two or more segments based on an index parameter for each of the two or more members belonging to the organization. The output unit executes the first control of preferentially outputting the first survey item from the two or more survey items according to the selection of the first segment included in the two or more segments, and the two or more. According to the selection of the second segment included in the segment of, the second control for preferentially outputting the second survey item from the two or more survey items is executed, and the first survey item is the above two or more. The second survey item is specified based on the first criterion for each score of the survey item, which is different from the first criterion and is specified based on the second criterion for the score.
[Selection diagram] Fig. 4

Description

The present invention relates to an output device and an output method.

In recent years, technology for improving the efficiency of personnel management of employees (hereinafter referred to as HR (Human Resource) Tech) has been attracting attention. HR Tech knows how to classify employees into two or more groups (eg, high performers, middle performers, low performers) and display the correlation between the two survey items for each group. For example, one of the two search items is motivation, and the other of the two search items is communication ability or overtime hours (for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2019-31575

By the way, one of the important purposes of HR Tech is to formulate appropriate measures based on the survey results.

However, although the above-mentioned technique can grasp the correlation between the two survey items, it is difficult to determine whether or not a measure should be formulated for each survey item.

Therefore, the present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide an output device and an output method capable of supporting the planning of appropriate measures.

The output device according to the disclosure includes an output unit that outputs classification results in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization. The output unit executes the first control to preferentially output the first survey item from the two or more survey items according to the selection of the first segment included in the two or more segments, and the output unit executes the first control to preferentially output the first survey item from the two or more survey items. According to the selection of the second segment included in the segment, the second control for preferentially outputting the second survey item from the two or more survey items is executed, and the first survey item is the two or more survey items. The second survey item is specified based on the first criterion for each score of the survey item, which is different from the first criterion and is specified based on the second criterion for the score.

The output method according to the disclosure comprises step A of outputting the classification result in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization. Step A is a step of executing the first control of preferentially outputting the first survey item from the two or more survey items according to the selection of the first segment included in the two or more segments, and the second step. The first survey includes a step of executing a second control for preferentially outputting a second survey item from the two or more survey items according to the selection of the second segment included in the above segments. Items are identified based on the first criterion for the score of each of the two or more survey items, the second survey item being different from the first criterion and based on the second criterion for the score. Be identified.

According to the present invention, it is possible to provide an output device and an output method that can support the planning of appropriate measures.

FIG. 1 is a diagram showing an output system 100 according to an embodiment. FIG. 2 is a diagram showing a personnel server 50 according to an embodiment. FIG. 3 is a diagram showing a survey server 70 according to an embodiment. FIG. 4 is a diagram showing a third terminal 30 according to the embodiment. FIG. 5 is a diagram for explaining questions related to the embodiment. FIG. 6 is a diagram for explaining the overall importance (correlation coefficient) according to the embodiment. FIG. 7 is a diagram for explaining the overall importance (correlation coefficient) according to the embodiment. FIG. 8 is a diagram for explaining the classification result according to the embodiment. FIG. 9 is a diagram for explaining the analysis results of the survey items according to the embodiment. FIG. 10 is a diagram for explaining the analysis results of the survey items according to the embodiment. FIG. 11 is a diagram showing an output method according to the embodiment. FIG. 12 is a diagram showing an output method according to the embodiment. FIG. 13 is a diagram for explaining the overall importance (correlation coefficient) according to the modification example 1. FIG. 14 is a diagram for explaining the classification result according to the modified example 2. FIG. 15 is a diagram for explaining the classification result according to the modified example 2. FIG. 16 is a diagram for explaining the variation result according to the modification example 3. FIG. 17 is a diagram for explaining the variation result according to the modification example 3. FIG. 18 is a diagram for explaining the variation result according to the modification example 3.

Hereinafter, embodiments will be described with reference to the drawings. In the description of the drawings below, the same or similar parts are designated by the same or similar reference numerals.

However, it should be noted that the drawings are schematic and the ratio of each dimension may differ from the actual one. Therefore, the specific dimensions should be determined in consideration of the following explanation. In addition, it goes without saying that there may be a portion where the relations or ratios of the dimensions of the drawings are different from each other.

[Summary of disclosure]
The output device according to the outline of the disclosure includes an output unit that outputs the classification result in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization. , The output unit executes the first control to preferentially output the first survey item from the two or more survey items according to the selection of the first segment included in the two or more segments. According to the selection of the second segment included in the above segments, the second control for preferentially outputting the second survey item from the two or more survey items is executed, and the first survey item is the above 2 It is specified based on the first criterion for each score of the above survey items, and the second survey item is specified based on the second criterion for the score, which is different from the first criterion.

The output method according to the outline of the disclosure comprises step A of outputting the classification result in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization. In step A, the first control for preferentially outputting the first survey item from the two or more survey items is executed according to the selection of the first segment included in the two or more segments. The first step includes a step of executing a second control for preferentially outputting a second survey item from the two or more survey items according to the selection of the second segment included in the two or more segments. One survey item is specified based on the first criterion for the score of each of the two or more survey items, and the second survey item is a criterion different from the first criterion and is used as the second criterion for the score. Identified based on.

In the summary of the disclosure, the output device preferentially outputs the first survey item identified based on the first criterion for the score according to the selection of the first segment, and the score according to the selection of the second segment. Priority is given to the second survey item specified based on the second criterion for. According to such a configuration, since the survey items specified by different criteria for each segment are output, it is possible to support the planning of appropriate measures based on the specified survey items.

In the summary of the disclosure, the organization may be an organization with legal personality or an organization without legal personality. The member may be a person who has an employment relationship with the organization or a person who has a contractual relationship with the organization. Although not particularly limited, the following exemplifies a case where the organization is a corporation and the members are employees.

[Embodiment]
(Output system)
Hereinafter, the output system according to the embodiment will be described. FIG. 1 is a diagram showing an output system 100 according to an embodiment.

As shown in FIG. 1, the output system 100 includes a first terminal 10, a second terminal 20, a third terminal 30, a personnel server 50, and a survey server 70. The first terminal 10, the second terminal 20, the third terminal 30, the personnel server 50, and the survey server 70 are connected by the network 200. Although not particularly limited, the network 200 may be configured by an Internet network. The network 200 may include a local area network, a mobile communication network, or a VPN (Virtual Private Network).

The first terminal 10 is a terminal used by an employee who answers a question. For example, the first terminal 10 may be a personal computer, a smartphone, or a tablet terminal. FIG. 1 illustrates two or more first terminals 10 used by two or more employees.

The second terminal 20 is a terminal used by a person in charge of personnel in a corporation. For example, the second terminal 20 may be a personal computer, a smartphone, or a tablet terminal. FIG. 1 illustrates one second terminal 20 used by one person in charge of personnel.

The third terminal 30 is a terminal used by the viewer of the survey result. In the embodiment, the third terminal 30 is an example of an output device. The viewer may be an employee included in the corporation. Therefore, the viewer may include a personnel representative. Different authority may be given as the authority to view the survey results depending on the department or position of the employee. For example, the third terminal 30 may be a personal computer, a smartphone, or a tablet terminal. FIG. 1 illustrates one third terminal 30 used by one viewer.

The personnel server 50 is a server having a first database (first DB52 described later) for storing data related to personnel of employees belonging to a corporation. Access authority to the personnel server 50 (1st DB52) may be set. For example, the second terminal 20 does not have the access authority to the personnel server 50, but the third terminal 30 does not have to have the access authority to the personnel server 50. Details of the personnel server 50 will be described later (see FIG. 2).

The survey server 70 is a server having a second database (second DB72 described later) for storing answers to questions. The access authority to the investigation server 70 (2nd DB72) may be set. For example, the third terminal 30 has the access authority to the investigation server 70, but the second terminal 20 does not have to have the access authority to the investigation server 70. The details of the survey server 70 will be described later (see FIG. 3).

Here, the personnel server 50 may be realized by SaaS (Service as a Software). Similarly, the survey server 70 may be implemented by SaaS. The personnel server 50 may be constructed by a corporation to which the employees managed by the personnel server 50 belong, or may be constructed by a third party different from the corporation. Similarly, the survey server 70 may be built by the corporation to which the employee who answers the question belongs, or may be built by a third party different from the corporation. The personnel server 50 and the survey server 70 may be built by the same vendor or may be constructed by different vendors.

(Personnel server)
Hereinafter, the personnel server according to the embodiment will be described. FIG. 2 is a diagram showing a personnel server 50 according to an embodiment. As shown in FIG. 2, the personnel server 50 includes a communication unit 51, a first DB 52, and a control unit 53.

The communication unit 51 is composed of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE802.11a / b / g / n, ZigBee, Wi-SUN, LTE, 5G, 6G, etc., and may be a wired communication module compliant with standards such as IEEE802.3. It may be a communication module. For example, the communication unit 51 transmits the data stored in the first DB 52 to the third terminal 30.

The first DB52 is composed of storage media such as HDD (Hard Disk Drive), SSD (Solid State Drive), and magnetic tape. For example, the first DB52 stores data related to the personnel affairs of employees belonging to a corporation.

The data stored in the first DB 52 may include a corporate email address, employee number, name, personnel transfer history, employment condition history, hire date, date of birth, gender, corporate information, and the like.

A corporate email address is an email address assigned to an employee. The corporate email address may be used in the distribution of questionnaires. The employee number is a number assigned to an employee. The name is the name of the employee. The employee number and name may be used to identify the employee answering the question. The personnel transfer history may include the history of the department to which the employee belongs, the history of the employee's job title, and the like. The employment condition history may include a history of the employee's occupation, a history of grades, a history of employment form, and the like. The date of joining the company is the date when the employee joined the corporation. The date of birth is the date of birth of the employee. Gender is the gender of the employee. The corporate information may include the name of the corporation, the number of employees of the corporation, and the like. Personnel transfer history, employment condition history, hire date, date of birth, gender, and corporate information may be considered as attributes used in the analysis of answers to questions.

The data stored in the 1st DB52 is personal email address, personal phone number, personal address, commuting route, transfer account, salary, emergency contact information, academic background, work history, family / allowance information, nationality, social insurance, work location, etc. It may include corporate information and the like.

A personal email address is an email address owned by an employee. The personal telephone number is a landline or mobile phone number owned by the employee. The personal address is the address of the employee. The commuting route is an employee's commuting route (for example, a boarding station, a disembarking station, etc.). A transfer account is a bank account to which an employee's salary is transferred. Salary is the salary of an employee. The salary may include a bonus. The salary may include a history of salary. An emergency contact is an emergency contact reported by an employee. Educational background is the educational background of the employee (for example, graduated school name, university graduate, graduate school graduate, etc.). The work history is the work history of the employee. Nationality is the nationality of the employee. Family / allowance information includes dependents, widows, widows, disability allowances, child allowances, qualifications, qualification allowances, and so on. Social insurance is social insurance that employees take out (for example, national pension number, health insurance number, etc.). The place of work is the place of work of the employee. Corporate information includes a corporate address, a corporate telephone number, and the like.

The control unit 53 may include at least one processor. At least one processor may be composed of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), one or more Integrated Circuits, one or more Discrete Circuits, and a combination thereof. .. For example, the control unit 53 may instruct the communication unit 51 to transmit the data stored in the first DB 52 in response to the request of the third terminal 30.

(Survey server)
Hereinafter, the survey server according to the embodiment will be described. FIG. 3 is a diagram showing a survey server 70 according to an embodiment. As shown in FIG. 3, the survey server 70 has a communication unit 71, a second DB 72, and a control unit 73.

The communication unit 71 is composed of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE802.11a / b / g / n, ZigBee, Wi-SUN, LTE, 5G, 6G, etc., and may be a wired communication module compliant with standards such as IEEE802.3. It may be a communication module. For example, the communication unit 71 transmits the data stored in the second DB 72 to the third terminal 30.

The second DB72 is composed of storage media such as HDD (Hard Disk Drive), SSD (Solid State Drive), and magnetic tape. For example, the second DB72 stores data including at least the answers to the questions.

The data stored in the second DB 72 may include employee satisfaction, scores for each survey item, conditions, personality types, and the like.

Employee satisfaction is an index showing employee satisfaction with a corporation. Employee satisfaction may be referred to as an eNPS (Employee Net Promoter Score). Employee satisfaction is obtained as an analysis of individual employee responses to questions. Employee satisfaction may be an indicator obtained by a census survey. The score for each survey item is a score aggregated for each survey item that is the subject of the awareness survey. The score for each survey item is obtained as an analysis result of the individual employee's answer to the question belonging to each survey item. Condition is an indicator of employee satisfaction with a corporation in the short term. Condition is an index obtained as a result of analysis of individual employee's answers to questions. The condition may be an index obtained by a pulse survey. Personality type is the type of personality of an employee classified by personality diagnosis. The personality type is obtained as an analysis of the individual employee's response to the personality diagnosis question.

The survey items are the survey items that are the subject of the awareness survey. For example, the survey items may include those related to an awareness survey of the work environment, those related to an awareness survey of diversity, and those related to an awareness survey of treatment. The question is the content of the question presented to the employee. Each question belongs to one of the survey items. The descriptive text is a descriptive text regarding the question. The target of the response is the population of employees who should conduct the questionnaire. The answer progress indicates the progress of the individual employee's answer to the question (for example, unanswered, answered, etc.). The content of the answer is the raw data of the individual employee's answer to the question. Reminders are the status of reminders (number of reminders, frequency of reminders, etc.) that encourage individual employees to conduct questionnaires. The report is about the entire employee. The report is obtained as an analysis of the employee-wide answers to the questions. The report may include a distribution of employee satisfaction, a distribution of scores for each survey item, and the like. The timing includes when the employee should set a goal, when the employee should evaluate the degree of achievement of the goal, and so on. The corporate information may include the type of business of the corporation, the date of establishment of the corporation, and the like. Corporate information is used in the generation of reports.

The control unit 73 may include at least one processor. At least one processor may be composed of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), one or more Integrated Circuits, one or more Discrete Circuits, and a combination thereof. .. For example, the control unit 73 may instruct the communication unit 51 to transmit the data stored in the second DB 72 in response to the request of the third terminal 30.

(3rd terminal)
Hereinafter, the third terminal according to the embodiment will be described. FIG. 4 is a diagram showing a third terminal 30 according to the embodiment. As shown in FIG. 4, the third terminal 30 has a communication unit 31, a display unit 32, and a control unit 33.

The communication unit 31 is composed of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE802.11a / b / g / n, ZigBee, Wi-SUN, LTE, 5G, 6G, etc., and may be a wired communication module compliant with standards such as IEEE802.3. It may be a communication module. For example, the communication unit 31 may receive the data stored in the first DB 52 from the personnel server 50. The communication unit 31 may receive the data stored in the second DB 72 from the survey server 70.

In the embodiment, the communication unit 31 may obtain the score of each of the two or more survey items for each of the two or more employees belonging to the corporation. The communication unit 31 may acquire index parameters for each of the two or more employees. Indicator parameters may include at least one or more parameters relating to organizational satisfaction (eg, eNPS) and parameters relating to the performance of each of the two or more employees.

Further, the communication unit 31 may acquire the following information.

First, the communication unit 31 may acquire data indicating the overall realization level indicating the level at which the survey items are realized for the corporation to which two or more employees belong. The overall realization may be considered as a score for each survey item, or may be specified based on the score for each survey item.

Second, the communication unit 31 may acquire data indicating the overall importance expressed by the correlation coefficient between the individual realization degree and the individual parameter for the corporation to which two or more employees belong. .. The individual realization degree is a parameter indicating the level at which the survey item is realized, and is acquired for each of two or more employees. Individual parameters are parameters that should be emphasized as a corporation, and are acquired for each of two or more employees.

The display unit 32 is composed of a display such as a liquid crystal panel or an organic EL panel. The display may include a display controller such as a GPU (Graphics Processing Unit).

In the embodiment, the display unit 32 outputs a classification result in which two or more employees are classified into each of the two or more segments based on the index parameters for each of the two or more employees belonging to the corporation. It may be configured. The display unit 32 may execute the first control for preferentially outputting the first survey item according to the selection of the first segment included in the two or more segments. The display unit 32 may execute the second control for preferentially outputting the second survey item according to the selection of the second segment included in the two or more segments. The first survey item is specified based on the first criterion for the score, and the second survey item is specified based on the second criterion for the score, which is different from the first criterion. In the following, the output may be read as a display.

Here, the process of classifying two or more employees into each of the two or more segments may be executed by the third terminal 30 (control unit 33) or by the personnel server 50 (control unit 53). Often, it may be executed by the investigation server 70 (control unit 73). Similarly, the process of specifying the first survey item and the second survey item may be executed by the third terminal 30 (control unit 33) or by the personnel server 50 (control unit 53), and the survey may be performed. It may be executed by the server 70 (control unit 73). The entity that executes each process may acquire information necessary for executing the process from the first DB 52 and the second DB 72.

The control unit 33 may include at least one processor. At least one processor may be composed of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), one or more Integrated Circuits, one or more Discrete Circuits, and a combination thereof. ..

For example, the control unit 33 may execute a process of classifying two or more employees into each of two or more segments based on index parameters for two or more employees. The control unit 33 may execute a process of specifying the first survey item from two or more survey items based on the first criterion regarding the score, depending on the selection of the first segment. The control unit 33 may execute a process of specifying the second survey item from two or more survey items based on the second criterion regarding the score, depending on the selection of the second segment.

For example, the first segment may be a segment that includes employees whose evaluation of index parameters is the first evaluation. The first criterion may be a criterion that preferentially identifies a survey item having a high score. On the other hand, the second segment may be a segment including employees who have a second evaluation whose evaluation regarding index parameters is lower than that of the first evaluation. The second criterion may be a criterion that preferentially identifies a survey item with a low score.

(Question matters)
The questions related to the embodiment will be described below. FIG. 5 is a diagram for explaining questions related to the embodiment.

As shown in FIG. 5, the questions presented to the employee are associated with the survey items. One question may be associated with two or more survey items. Survey items may include those related to the work environment, those related to diversity, and those related to treatment.

For example, the No. 1 question may be about the work environment. Each answer of two or more employees to the No. 1 question may be used as an individual realization degree indicating the level at which the improvement of the working environment is realized. The aggregated result of the employee's answer to the No. 1 question may be used as the overall realization level indicating the level at which the improvement of the working environment is realized.

For example, the No. 10 question may be about diversity. Each answer of two or more employees to the No. 10 question may be used as an individual realization degree that represents the level at which diversity is achieved. The aggregated result of the employee's answer to the No. 10 question may be used as the overall realization degree indicating the level at which diversity is realized.

For example, the question of No. 20 may be related to treatment. Each answer of two or more employees to the Omitted No. 20 may be used as an individual realization degree indicating the level at which fairness of treatment is realized. The aggregated result of the employee's answer to the question of No. 20 may be used as the overall realization degree indicating the level at which the fairness of treatment is realized.

For example, the question in No. 30 may be related to the work environment and employee satisfaction. Each answer of two or more employees to the question of No. 30 may be used as an individual realization degree indicating the level at which the improvement of the working environment is realized. The aggregated result of the employee's answer to the question of No. 30 may be used as the overall realization degree indicating the level at which the improvement of the working environment is realized. The aggregated result of an employee's answer to a question about employee satisfaction may be used as the employee satisfaction for the employee's corporation. The employee satisfaction of each employee may be an example of individual parameters that should be emphasized as a corporation.

(Correlation coefficient)
Hereinafter, the correlation coefficient (overall importance) according to the embodiment will be described. 6 and 7 are diagrams for explaining the correlation coefficient according to the embodiment. Here, a case where satisfaction with an organization (eNPS) is used as an individual parameter will be described.

In FIGS. 6 and 7, the vertical axis represents the magnitude of employee satisfaction, and the horizontal axis represents the magnitude of individual realization. In addition, in the coordinate space defined by the vertical and horizontal axes, one survey item (hereinafter referred to as the target item) for which overall importance should be specified is plotted for each combination of employee satisfaction and individual realization. There is.

As shown in FIG. 6, when the correlation coefficient between employee satisfaction and individual realization is a positive value, the overall importance of the target item is high. On the other hand, as shown in FIG. 7, when the correlation coefficient between employee satisfaction and individual realization is a negative value, the overall importance of the target item is small. For example, the control unit 73 of the survey server 70 described above may determine that the larger the correlation coefficient, the greater the overall importance of the target item.

(Classification result)
Hereinafter, the classification results according to the embodiment will be described. FIG. 8 is a diagram for explaining the classification result according to the embodiment. Here, we describe a case where satisfaction with the organization (eNPS) and the performance of each employee are used as index parameters. An example is an example in which eNPS has three stages (low, medium, high) and performance has three stages (low, medium, high).

As shown in FIG. 8, since eNPS and performance have three stages, nine segments are set. The classification result may include the percentage of employees classified into each segment. For example, 13% of employees are in the segment with "high" performance and "high" eNPS, and in the segment with "high" performance and "low" eNPS. 15% may be included as a percentage of employees classified.

Here, the segment in which the performance is "high" and the eNPS is "high" may be an example of the first segment including the employee whose evaluation regarding the index parameter is the first evaluation. The segment with "high" performance and "low" eNPS may be an example of a second segment that includes employees with a second rating whose index parameter rating is lower than the first rating.

Under such a premise, the analysis results of two or more survey items may be displayed depending on the selection of any one of the two or more segments. For example, the analysis result may be the result of plotting each of two or more survey items in the coordinate space defined by the correlation coefficient and the score, as shown in FIGS. 9 and 10.

Hereinafter, the first control executed according to the selection of the first segment and the second control executed according to the selection of the second segment will be described.

First, the first control will be described with reference to FIG. As shown in FIG. 9, each survey item is plotted in the coordinate space defined by the correlation coefficient and the score, with the employees belonging to the first segment as the population. Here, the first control is a control for displaying the first survey item from two or more survey items based on the first criterion for the score. The priority display may be a process of highlighting the first survey item, or may be a process of displaying the first survey item without displaying the survey items other than the first survey item. FIG. 9 illustrates a case where the first survey item is highlighted.

Here, the first criterion may be a criterion for preferentially specifying a survey item having a high score. For example, the first criterion may be a criterion for specifying a predetermined number (for example, five) of survey items as the first survey item in descending order of score. The first criterion may be a criterion for specifying a survey item having a score equal to or higher than the threshold value as the first survey item.

Further, the first criterion may include a criterion that preferentially identifies a survey item having a high correlation coefficient. For example, the first criterion may be a criterion for specifying a predetermined number (for example, two) of survey items as the first survey item in descending order of the correlation coefficient. The first criterion may be a criterion for specifying a survey item having a correlation coefficient equal to or higher than a threshold value as a first survey item.

Secondly, the second control will be described with reference to FIG. As shown in FIG. 10, each survey item is plotted in the coordinate space defined by the correlation coefficient and the score, with the employees belonging to the second segment as the population. Here, the second control is a control for displaying the second survey item from two or more survey items based on the second criterion for the score. The priority display may be a process of highlighting the second survey item, or may be a process of displaying the second survey item without displaying the survey items other than the second survey item. FIG. 10 illustrates a case where the second survey item is highlighted.

Here, the second criterion may be a criterion for preferentially identifying a survey item having a low score. For example, the second criterion may be a criterion for specifying a predetermined number (for example, five) of survey items as the second survey item in ascending order of score. The second criterion may be a criterion for specifying a survey item having a score of less than or equal to a threshold value as a second survey item.

Further, the second criterion may include a criterion that preferentially identifies a survey item having a high correlation coefficient. For example, the second criterion may be a criterion for specifying a predetermined number (for example, two) of survey items as the second survey item in descending order of the correlation coefficient. The second criterion may be a criterion for specifying a survey item having a correlation coefficient equal to or higher than a threshold value as a second survey item.

Although not particularly limited, the same parameters as one of the index parameters that define the segment may be used as the individual parameters that define the correlation coefficient. For example, the eNPS that defines the segment may be used as the individual parameter that defines the correlation coefficient, or the performance that defines the segment may be used.

(output method)
Hereinafter, the output method according to the embodiment will be described. 11 and 12 are diagrams showing an output method according to the embodiment.

First, the case where the survey server 70 collects the answers to the questions will be described.

As shown in FIG. 11, in step S10, the survey server 70 transmits the question to the first terminal 10. The survey server 70 may send a question list (questionnaire) including two or more questions to the first terminal 10. The question list may be related to a pulse survey or a census survey.

In step S11, the first terminal 10 sends an answer to the question to the survey server 70. Answers include answers to questions to investigate individual realization. Answers include answers to questions for investigating individual parameters (eg, employee satisfaction or condition).

In step S12, the survey server 70 analyzes the answers to the questions. For example, the survey server 70 specifies the overall realization degree based on the aggregated result of the individual realization degree. As shown in FIGS. 6 and 7, the survey server 70 identifies the overall importance of survey items based on the correlation coefficient between employee satisfaction and individual realization.

FIG. 11 merely illustrates one first terminal 10 for convenience of explanation, and the survey server 70 collects responses from two or more first terminals 10. The survey server 70 may execute the analysis in step S12 when the number of the first terminals 10 for transmitting the response reaches a predetermined number. In other words, the survey server 70 may perform the analysis of step S12 based on the answers collected from a predetermined number of first terminals 10. The survey server 70 may perform the analysis in step S12 after the response period has expired. In other words, the survey server 70 may perform the analysis of step S12 based on the responses collected during the response period. The survey server 70 may execute (or update) the analysis in step S12 each time the response is collected from the first terminal 10.

Second, we will explain the classification results of two or more employees classified into each of the two or more segments and the display of survey items according to the segment selection. Here, the process of classifying two or more employees into each of the two or more segments and the process of specifying the first survey item and the second survey item may be executed by the survey server 70 (control unit 73).

As shown in FIG. 12, in step S20, the third terminal 30 transmits a viewing request for the classification result to the survey server 70.

In step S21, the survey server 70 classifies two or more employees into each of the two or more segments based on the indicator parameters. The survey server 70 transmits the classification result to the third terminal 30. At least one of eNPS and performance may be used as the index parameter.

In step S22, the third terminal 30 displays the classification result (see, for example, FIG. 8).

In step S30, the third terminal 30 selects one of the two or more segments.

In step S31, the survey server 70 identifies the score of each survey item, with the employees belonging to the selected segment as the population. For example, the survey server 70 produces data in which each survey item is plotted in a coordinate space defined by the correlation coefficient and score. Here, the survey server 70 identifies the first survey item based on the first criterion when the selected segment is the first segment. On the other hand, the survey server 70 identifies the second survey item based on the second criterion when the selected segment is the second segment. The survey server 70 transmits the survey item corresponding to the selected segment to the third terminal 30.

In step S32, the third terminal 30 displays the survey item corresponding to the selected segment. When the selected segment is the first segment, the third terminal 30 executes the first control for preferentially displaying the first survey item (see, for example, FIG. 9). On the other hand, the third terminal 30 executes the second control for preferentially displaying the second survey item when the selected segment is the second segment (see, for example, FIG. 10).

(Action and effect)
In the embodiment, the third terminal 30 preferentially displays the first survey item specified based on the first criterion regarding the score according to the selection of the first segment, and according to the selection of the second segment, the third terminal 30 preferentially displays. Priority is given to the second survey item specified based on the second criterion for score. With such a configuration, since the survey items specified by different criteria are displayed for each segment, it is possible to support the planning of appropriate measures based on the specified survey items.

In the embodiment, the first segment may be a segment including employees whose evaluation regarding index parameters is the first evaluation, and the first criterion is a criterion for preferentially identifying a survey item having a high score. May be good. With such a configuration, the first evaluation item that employees who have a high evaluation of index parameters often think is displayed preferentially, so the measures necessary to further develop the strengths of the corporation (that is, the first) It is possible to make the viewer understand that attention should be paid to (measures related to evaluation items).

In an embodiment, the second segment may be a segment that includes employees who have a second rating with a lower rating for indicator parameters than the first rating, and the second criterion gives priority to survey items with lower scores. It may be a specific criterion. With such a configuration, the second evaluation item that employees with a low evaluation of index parameters feel bad is displayed preferentially, so the measures necessary to compensate for the weaknesses of the corporation (that is, the second evaluation) It is possible to make the viewer understand that attention should be paid to (measures related to items).

[Change example 1]
Hereinafter, modification 1 of the embodiment will be described. In the following, the differences from the embodiments will be mainly described.

In the embodiment, a case where employee satisfaction is used as an individual parameter is illustrated. On the other hand, in the modification example 1, a case where a parameter other than employee satisfaction is used as an individual parameter is illustrated. As mentioned above, the individual parameters are used to identify the overall importance of the survey item. Specifically, as shown in FIG. 13, as individual parameters, a sales amount, a target achievement level, a salary satisfaction level, an attendance status, and the like may be used.

For example, when the organization is a sales department and the sales amount is included as each management item of the employees, the sales amount may be used as an individual parameter. That is, when the individual parameter that the corporation should emphasize is the sales amount, sales may be used as the individual parameter. In such cases, the sales amount that the corporation should emphasize is reflected in the overall importance, so it is possible to identify the survey items that contribute to the sales amount, and the correlation between the overall importance and the overall realization. The display can support the planning of measures related to survey items that contribute to the increase in sales.

For example, when the individual parameter that the corporation should emphasize is the degree of achievement of the target, the degree of achievement of the target may be used as the individual parameter. In such cases, the degree of goal achievement that the corporation should emphasize is reflected in the overall importance, so it is possible to identify the survey items that contribute to the degree of achievement of the goal, and the correlation between the overall importance and the overall realization. By displaying the relationship, it is possible to support the planning of measures related to the survey items that contribute to the improvement of the degree of achievement of the goal.

For example, when the individual parameter that the corporation should emphasize is salary satisfaction, salary satisfaction may be used as the individual parameter. In such cases, the salary satisfaction that the corporation should emphasize is reflected in the overall importance, so it is possible to identify the survey items that contribute to the salary satisfaction, and the correlation between the overall importance and the overall realization. By displaying the relationship, it is possible to support the planning of measures related to survey items that contribute to the improvement of salary satisfaction.

For example, when the individual parameter that the corporation should emphasize is the attendance status, the attendance status may be used as the individual parameter. In such cases, the attendance status that the corporation should emphasize is reflected in the overall importance, so it is possible to identify the survey items that contribute to the attendance status, and the correlation between the overall importance and the overall realization. The display can support the planning of measures related to survey items that contribute to the improvement of attendance.

In the first modification, a case where the sales amount, the degree of achievement of the target, the degree of salary satisfaction, the attendance status, etc. are used as individual parameters is illustrated. However, modification 1 is not limited to this. As the individual parameter, any parameter can be used as long as it is a parameter that the corporation attaches great importance to. The individual parameters may be acquired based on at least one of the data stored in the personnel server 50 (1st DB 52) and the data stored in the survey server 70 (2nd DB 72).

[Change example 2]
Hereinafter, modification 2 of the embodiment will be described. In the following, the differences from the embodiments will be mainly described.

In the embodiment, a case where a segment is defined by a three-stage performance and a three-stage eNPS is illustrated. On the other hand, in the second modification, an example of an index parameter that defines a segment will be described.

For example, as shown in FIG. 14, instead of performance, each employee's potential, each employee's demographic, or each employee's employee attributes may be used. Alternatively, as shown in FIG. 15, instead of eNPS, the potential of each employee, the demographic of each employee, or the employee attributes of each employee may be used.

The potential of each employee is a parameter that indicates the growth potential of the employee. Potential may be quantified by the age of the employee, the ability of the employee, and the like.

The demographic of each employee may include the employee's gender, nationality, age, and the like. Demographics may be grouped by at least one of gender, nationality and age.

The employee attributes of each employee may include the employee's grade, job title, occupation, and the like. Employee attributes may be grouped by at least one of grade, job title and occupation.

[Change example 3]
Hereinafter, modification 3 of the embodiment will be described. In the following, the differences from the embodiments will be mainly described.

In the third modification, the third terminal 30 (display unit 32) displays the variation result between each of the two or more segments. The fluctuation result is specified based on the comparison between the classification result of the first timing and the classification result of the second timing. For example, the classification result of the first timing may be the classification result of the previous year or the classification result of the previous month. The classification result of the second timing may be the classification result of this year or the classification result of this month. The interval between the first timing and the second timing may be considered as an interval for confirming the influence of the measures implemented after the first timing. Fluctuation results may include informational elements about employees that fluctuate between each of two or more segments. Information elements about employees may include at least one of the number of employees and the attributes of employees.

For example, as in the embodiment, a case where a segment is defined by a three-stage performance and a three-stage eNPS will be described.

As shown in FIG. 16, focusing on the segment with “medium” performance and “low” eNPS (hereinafter referred to as the target segment), employees who flowed into the target segment from other segments (hereinafter referred to as the source segment). The fluctuation result of the above may be represented by an arrow, or the fluctuation of an employee who has flowed out from the target segment to another segment (hereinafter referred to as a target segment) may be represented by an arrow. The thickness of the arrow may represent the number of employees who have flowed in from the source segment to the target segment, or may represent the number of employees who have flowed out from the target segment to the target segment. The thickness of the arrow may be considered as an example of an information element about an employee.

Under such a premise, the third terminal 30 (display unit 32) may display the details of the fluctuation represented by the arrow according to the selection of the arrow.

First, the case where the segment with "medium" performance and "low" eNPS is the target segment will be described.

As shown in FIG. 17, when an arrow representing an outflow from the target segment to the target segment is selected, the number of employees spilled from the target segment to the target segment as the details of the outflow represented by the arrow (FIG. 17). 23), the attributes of employees who have leaked from the target segment to the target segment (in FIG. 17, 20s, years of service (less than 1 year)) may be displayed. The employee attribute may be an attribute that meets a predetermined condition from among the employee attributes related to fluctuations. The predetermined condition may be a condition of extracting characteristic attributes that affect the fluctuation. For example, the predetermined condition may be a condition that an attribute whose ratio to the total number of employees related to fluctuation is a certain percentage or more is extracted. The details of the spill represented by the arrow may include the percentage corresponding to the attribute (82% in FIG. 17, associated with years of service (less than 1 year)).

For example, assuming that measures such as shortening the core time have been introduced after the first timing, the display of the information shown in FIG. 17 makes it possible to notice that the shortening of the core time has reduced the performance of inexperienced juniors. Will be. In other words, the impact of measures such as shortening core time can be confirmed.

Second, we explain the case where the segment with "high" performance and "high" eNPS is the target segment.

As shown in FIG. 18, when an arrow representing an outflow from the target segment to the target segment is selected, the number of employees spilled from the target segment to the target segment as the details of the outflow represented by the arrow (FIG. 18). Then, 48 people), the attributes of the employees who leaked from the target segment to the target segment (female, 30s, 40s in FIG. 18) may be displayed. The employee attribute may be an attribute that meets a predetermined condition from among the employee attributes related to fluctuations. The predetermined condition may be that the ratio of the total number of employees involved in the fluctuation is a certain ratio or more. The details of the outflow represented by the arrows indicate the percentages corresponding to the attributes (88% associated with women, 51% associated with women in their 30s, and 23% associated with their 40s in Figure 18). It may be included.

For example, assuming that measures such as shortening the core time were introduced after the first timing, by displaying the information shown in FIG. 18, it was noticed that the shortening of the core time resulted in an increase in performance for women in the child-rearing generation. Is obtained. In other words, the impact of measures such as shortening core time can be confirmed.

(Action and effect)
In modification 3, the third terminal 30 displays the variation result between each of the two or more segments, and the variation result is specified based on the comparison between the classification result of the first timing and the classification result of the second timing. Will be done. With such a configuration, it is possible to confirm the impact of the measures introduced after the first timing. Furthermore, the anonymity of employees can be guaranteed.

[Other embodiments]
Although the invention has been described by embodiments described above, the statements and drawings that form part of this disclosure should not be understood to limit the invention. This disclosure will reveal to those skilled in the art various alternative embodiments, examples and operational techniques.

In the above disclosure, the case where the analysis results of two or more survey items are displayed in the coordinate space defined by the correlation coefficient and the score has been described (see FIGS. 9 and 10). However, the above disclosure is not limited to this. The analysis results of two or more survey items may be displayed in a list format. In such a case, the priority display of the first survey item may be the process of displaying the first survey item at the top of the list, and the first survey item is not displayed without displaying the survey items other than the first survey item. It may be a process of displaying survey items. Similarly, the priority display of the second survey item may be the process of displaying the second survey item at the top of the list, and the second survey item is displayed without displaying the survey items other than the second survey item. It may be a process of displaying.

The above disclosure exemplifies the selection of segments with "high" performance and "high" eNPS, and the selection of segments with "high" performance and "low" eNPS. However, the above disclosure is not limited to this. For example, a segment with "high" performance and "medium" eNPS may be selected. In such a case, a predetermined number (for example, 5) of survey items may be preferentially displayed in descending order of score and a predetermined number (for example, 5) of survey items may be displayed in descending order of score. It suffices if the criteria for specifying the survey items to be displayed with priority differ for each segment.

The above disclosure exemplifies the case where a segment is defined by three stages of performance and three stages of eNPS. However, the above disclosure is not limited to this. For example, the stage of each index parameter may be 2 or 4 or more. The index parameter that defines the segment may be one or three or more.

In the above disclosure, the personnel server 50 and the investigation server 70 are separate servers. However, the above disclosure is not limited to this. The personnel server 50 and the investigation server 70 may be included in the same server. In such a case, the access authority to the personnel server 50 and the investigation server 70 may be set separately.

In the above-mentioned disclosure, the case where the output unit that outputs the classification result, the analysis result, and the fluctuation result is the display unit 32 of the third terminal 30 has been described. However, the above disclosure is not limited to this. The output unit that outputs the classification result, the analysis result, and the fluctuation result may be an audio output unit provided in the third terminal 30.

In the above-mentioned disclosure, the case where the output unit that outputs the classification result, the analysis result, and the fluctuation result is the display unit 32 of the third terminal 30 has been described. However, the above disclosure is not limited to this. For example, when the survey server 70 transmits data necessary for displaying the classification result, the analysis result, and the fluctuation result to the third terminal 30, the output unit may be considered to be the communication unit 71 of the survey server 70. In such a case, the survey server 70 is an example of an output device. Similarly, when the personnel server 50 transmits data necessary for displaying the classification result, the analysis result, and the fluctuation result to the third terminal 30, the output unit may be the communication unit 51 of the personnel server 50. In such a case, the personnel server 50 is an example of an output device.

In the above disclosure, the overall importance and overall realization are obtained by analysis (survey) of the answers to the questions regarding the survey items. In such a case, two or more questions are associated with one survey item, and a weighted value may be set for each of the two or more questions. In other words, in the survey, the answers to the questions associated with one survey item may be weighted by weighted values. For example, assume a case where question item A and question item B are associated with one survey item, a weighted value a is set for question item A, and a weighted value b is set for question item B. .. In such a case, the answer to the question A may be weighted by the weighted value a, the answer to the question B may be weighted by the weighted value b, and then the individual realization degree of the survey item may be acquired. .. Based on the individual realization degree acquired in this way, the overall realization degree may be acquired, or the overall importance may be acquired.

In the disclosures mentioned above, employee satisfaction is obtained by analyzing the answers to the questions. In such a case, two or more questions regarding employee satisfaction are associated with each other, and a weighted value may be set for each of the two or more questions. In other words, in the survey, the answers to the questions associated with employee satisfaction may be weighted by weighted values. For example, assume a case where question item A and question item B are associated with each other regarding employee satisfaction, a valuation value a is set for question item A, and a valuation value b is set for question item B. .. In such a case, the answer to the question A may be weighted by the weighted value a, and the answer to the question B may be weighted by the weighted value b, and then the employee satisfaction may be acquired.

Although not particularly limited, the term "realization" may be read as the term "satisfaction". For example, the overall realization level may be acquired for a corporation and read as the overall satisfaction level indicating the satisfaction level of the survey items. Similarly, the individual realization level may be obtained for each of two or more employees and may be read as the individual satisfaction level indicating the satisfaction level of the survey item.

10 ... 1st terminal, 20 ... 2nd terminal, 30 ... 3rd terminal, 31 ... communication unit, 32 ... display unit, 33 ... control unit, 50 ... personnel server, 51 ... communication unit, 52 ... 1st DB, 53 ... Control unit, 70 ... Investigation server, 71 ... Communication unit, 72 ... 2nd DB, 73 ... Control unit, 100 ... Output system

Claims (8)

It is provided with an output unit that outputs classification results in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization.
The output unit is
In response to the selection of the first segment included in the two or more segments, the first control that preferentially outputs the first survey item from the two or more survey items is executed.
According to the selection of the second segment included in the two or more segments, the second control for preferentially outputting the second survey item from the two or more survey items is executed.
The first survey item is identified based on the first criterion for the score of each of the two or more survey items.
The second survey item is an output device that is different from the first criterion and is specified based on the second criterion regarding the score. The first segment is a segment including members whose evaluation regarding the index parameter is the first evaluation.
The output device according to claim 1, wherein the first criterion is a criterion for preferentially specifying a survey item having a high score. The second segment is a segment including a member whose evaluation regarding the index parameter is a second evaluation lower than that of the first evaluation.
The output device according to claim 2, wherein the second criterion is a criterion for preferentially identifying a survey item having a low score. The output device according to any one of claims 1 to 3, wherein the index parameter includes at least one parameter relating to satisfaction with the organization and a parameter relating to the performance of each of the two or more members. .. The output unit outputs the variation result between each of the two or more segments.
The output device according to any one of claims 1 to 4, wherein the fluctuation result is specified based on a comparison between the classification result of the first timing and the classification result of the second timing. The output device of claim 5, wherein the variation result comprises an information element relating to a member that varies between each of the two or more segments. The output device according to claim 6, wherein the information element relating to the member includes at least one information element of the number of members and the attribute of the member. A step A is provided in which the output device outputs a classification result in which the two or more members are classified into each of the two or more segments based on the index parameters for each of the two or more members belonging to the organization.
The step A is
A step in which the output device executes the first control for preferentially outputting the first survey item from the two or more survey items according to the selection of the first segment included in the two or more segments.
A step in which the output device executes a second control for preferentially outputting the second survey item from the two or more survey items according to the selection of the second segment included in the two or more segments. Including,
The first survey item is identified based on the first criterion for the score of each of the two or more survey items.
The second survey item is an output method that is different from the first criterion and is specified based on the second criterion regarding the score.

Images