Support device, support method and program

A support device and method enhance team productivity by presenting proactive behavior questions, analyzing answer history, and predicting productivity changes using a radar chart, enabling targeted interventions.

JP2025144677APending Publication Date: 2025-10-03THE JAPAN RES INST
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Patent Information

Application Number
JP2024044472
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-03-21
Publication Date
2025-10-03

AI Technical Summary

Technical Problem

Existing systems fail to enhance team productivity based on members' answers to questions about proactive behavior.

Method used

A support device and method that presents questions related to team productivity, receives answers on a scale from negative to positive, stores and analyzes answer history, learns relationships between answers and productivity indexes, and outputs changes in productivity evaluation using a radar chart.

Benefits of technology

Improves team productivity by analyzing answer changes and predicting future productivity based on historical data, facilitating targeted interventions for improvement.

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Abstract

To provide a support device etc. which can support activity for improving productivity of a team by using an answer of a member.SOLUTION: A support device which contributes to productivity improvement of a team comprises: question presentation means which presents a plurality of questions which is related to proactive action, and may be associated with the productivity of the team, a plurality of times during the existence of the team; answer reception means which receives an answer of a member of the team to the question, as one of level values sectioned into a plurality of steps between a negative answer and a positive answer; and output means which outputs the state of change of the level value indicated by the history of the level value received by the answer reception means.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present disclosure relates to an assistance device, an assistance method, and a program. [Background technology]

[0002] Patent Document 1 discloses an organizational development support system that supports the strengthening and improvement of an organization by collecting responses to survey questions and proposing improvement items. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-18152 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the system disclosed in Patent Document 1 cannot improve the productivity of a team based on the answers of members to questions about proactive behavior.

[0005] Therefore, in one aspect, the present invention aims to provide a support device or the like that can improve the productivity of a team based on the answers of team members to questions about proactive behavior. [Means for solving the problem]

[0006] (1) In one embodiment, A support device that contributes to improving team productivity, a question presenting means for presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, a plurality of times during the life of the team; an answer receiving means for receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output means for outputting a state of change in the level value indicated by the history of the level value received by the response receiving means; An assist device is provided, comprising:

[0007] (2) In the above aspect (1), preferably, further comprising a storage means for storing a history of productivity evaluation indexes for evaluating the productivity of the team; The output means outputs the answer corresponding to a period in which the productivity evaluation index indicated in the history of the productivity evaluation index changed.

[0008] (3) In the above aspect (1), preferably, a storage means for storing a history of productivity evaluation indexes for evaluating the productivity of the team; learning means for learning the relationship between the answer and the productivity evaluation index; The output means outputs a state of change in the productivity evaluation index predicted based on the relationship learned by the learning means, together with a state of change in the level value.

[0009] (4) In the above aspect (3), preferably, a display means for displaying the answers as a radar chart having items for each of the questions; The learning means recognizes the answers as data corresponding to the radar chart.

[0010] (5) In the above aspect (1), preferably, The output means outputs the degree of difference in the answers between the members.

[0011] (6) In another embodiment, A support method that contributes to improving team productivity, a question presentation step of presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, multiple times during the life of the team; an answer receiving step of receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output step of outputting a state of change in the level value indicated by the history of the level value received in the response receiving step; A method of assistance is provided, comprising:

[0012] (7) In another aspect, A program for causing a computer to execute a support method that contributes to improving team productivity, The support method includes: a question presentation step of presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, multiple times during the life of the team; an answer receiving step of receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output step of outputting a state of change in the level value indicated by the history of the level value received in the response receiving step; A program is provided that includes: [Effects of the Invention]

[0013] In one aspect, the present invention can improve the productivity of a team based on the answers of team members to questions about proactive behavior. [Brief explanation of the drawings]

[0014] [Figure 1] FIG. 1 is a diagram illustrating a configuration of a support device according to an embodiment of the present invention. [Figure 2] 10A and 10B are diagrams illustrating examples of questions presented by a question presenting unit. [Figure 3] 10 is a diagram illustrating an example of a part of the data configuration of answer information stored in an answer storage unit. FIG. [Figure 4] FIG. 10 is a diagram showing changes in level values ​​corresponding to specific question IDs. [Figure 5]FIG. 10 is a diagram illustrating an example of a radar chart showing answers. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, an embodiment will be described in detail with reference to the accompanying drawings. The support device according to the present invention is a device for supporting team productivity improvement. The support device according to the present invention is characterized in that it aims to improve the proactiveness of a team (organization) to which members belong based on the members' answers to questions about proactive behavior.

[0016] FIG. 1 is a diagram showing the configuration of the support device of this embodiment.

[0017] The support device 10 of this embodiment includes a question presenting means 11 that presents a plurality of questions regarding proactive behavior that may be related to the team's productivity a plurality of times during the existence of the team, an answer receiving means 12 that receives answers from team members to the questions as one of a plurality of level values ​​divided into a plurality of stages from negative to positive, and an answer storage unit 12A that stores answer information.The support device 10 also includes an output means 13 that outputs a state of change in the level value indicated by the history of the level values ​​received by the answer receiving means 12, and a storage means 14 that stores a history of productivity evaluation indexes that evaluate the team's productivity.

[0018] Furthermore, the support device 10 includes a learning means 15 that learns the relationship between answers and productivity evaluation indexes, and a representation means 16 that represents answers as a radar chart having items for each question.

[0019] In this embodiment, team productivity is treated as a productivity evaluation index value that can be objectively evaluated. The productivity evaluation index can be set arbitrarily, and the productivity evaluation index value corresponds to, for example, the performance of the team in question, such as the number of sales or the amount of sales, over a certain period of time. The productivity evaluation index value is associated with a date and time that represents the value and stored in the storage means 14.

[0020] The support device 10 can be configured using a single computer or multiple computers on which a predetermined program is implemented. For example, the support device 10 can be configured using a single computer (e.g., a server). Also, some of the components of the support device 10 may be provided in one computer (e.g., one server), and other components of the support device 10 may be provided in another computer (e.g., another server).

[0021] A terminal device 20 can be connected to the support device 10, and the terminal device 20 is installed with a predetermined program for executing the processing described below.

[0022] Next, the operation of the support device 10 will be described.

[0023] The question presenting means 11 presents a plurality of questions about proactive behavior, which may be related to the productivity of the team, to the members 21 (FIG. 1) constituting the team via the terminal device 20. The questions are displayed, for example, on the display screen of the terminal device 20.

[0024] FIG. 2 is a diagram showing an example of the content of a question presented by the question presenting means.

[0025] In the example shown in Figure 2, questions are prepared corresponding to each of the four types of proactive behavior (1) to (4). Specifically, three questions are set for each of the types (1) to (4).

[0026] The answer receiving means 12 receives answers from the members 21 to the questions presented by the question presenting means 11 as one of a plurality of level values ​​divided into levels ranging from negative to positive. In the example of Fig. 2, the answer receiving means 12 receives answers to each question as five level values ​​(e.g., 1 to 5) ranging from negative to positive. The answers received by the answer receiving means 12 are stored in the answer storage unit 12A as answer information.

[0027] In addition to the answers of the team members 21, the answers may also include answers from people other than the team members 21, such as members belonging to other teams or people related to the team. By including people other than the team members 21 as respondents, a more multifaceted analysis becomes possible.

[0028] FIG. 3 is a diagram illustrating a part of the data structure of the answer information stored in the answer storage unit.

[0029] 3, the answer information includes a team ID that identifies the team, an answerer ID that identifies the answerer (such as member 21), the answer date and time, and an answer result. The answer result is information that associates a question ID that identifies the question with a level value received as an answer.

[0030] Next, the operation of the output means 13 will be described.

[0031] The output means 13 outputs, based on the answer information stored in the answer storage unit 12A, the state of change in the level value for each question ID, the state of change in the average value of the level value for each type of proactive behavior, and the like.

[0032] FIG. 4 is a diagram showing changes in level values ​​corresponding to specific question IDs.

[0033] In the example of Fig. 4, the output means 13 outputs the transition of the level value corresponding to a specific question ID. In Fig. 4, broken lines 51a and 51b show the level values ​​of each member 21 in the team, and broken line 51 shows the average (total) of the level values ​​of all members 21 belonging to the team. The vertical axis shows the level value, and the horizontal axis shows the answer date and time. 4, the output means 13 outputs the history of the productivity evaluation index stored in the storage means 14. In Fig. 4, a broken line 52 indicates the transition of the productivity evaluation index value of the team, with the vertical axis indicating the productivity evaluation index value and the horizontal axis indicating the date and time representative of the productivity evaluation index value.

[0034] As described above, in this embodiment, the output means 13 outputs the state of change in the answers of each member 21 and the state of change in the answers of the team as a whole, along with the transition of the productivity evaluation index of the team. Therefore, for example, based on the information output via the output means 13, the members 21 can be made to check their own behavior and given advice based on a comparison with not only their most recent answers but also past answers, which can lead to an improvement in the productivity of the team. In addition, it is possible to analyze the change in answers in relation to the transition of the productivity evaluation index value. For example, it is possible to analyze the correlation between the average value of answers (level values) to a specific question and the productivity evaluation index.

[0035] The output means 13 may also output the degree of difference in answers between members 21. For example, the output means 13 can output the distribution or variance of answers (level values) to the same question between multiple members 21 belonging to the same team. This makes it possible to grasp the unique position of each member 21 within the team.

[0036] Generally speaking, when it comes to the productivity of a team, if the members 21 belonging to that team are highly homogeneous, it does not necessarily mean that productivity will increase. Diversity among the members 21 belonging to a team can also increase the team's productivity. For example, if the roles of members 21 are different, differences in answers can increase the productivity of the team as a whole. Also, depending on the characteristics and purpose of the team, good results can be obtained when there are no differences between members 21, or when there are significant differences.

[0037] According to this embodiment, the output means 13 outputs the degree of difference in answers between the members 21, so it is possible to analyze from multiple perspectives the relationship between the productivity of the team and the degree of difference in answers between the members 21. This makes it possible, for example, to take appropriate intervention to improve the productivity of the team.

[0038] If there is a change in the team's productivity evaluation value but no change in the level value of the member's answer, the content of the questions may be reviewed. Furthermore, if the change in the level value of the member's answer is small compared to the change in the productivity evaluation index (the sensitivity of the change in the answer to productivity is low), the questions may also be reviewed. When analyzing the change in the productivity evaluation value and the change in the level value of the member's answer, (Change in evaluation index) / (Change in response level value) = (Sensitivity) It is recommended to perform a sensitivity analysis using the following formula. The sensitivity can be the average for the entire team, for each individual, or for each group within the team. In addition, when conditions are met that suggest a need to review the question options (such as when there is a change in the productivity evaluation value but no change in the level values ​​of the members' answers to the question options, or when the sensitivity is low), it is recommended to provide a means for notifying the user that the question options need to be reviewed.

[0039] Next, the operation of the learning means 15 will be described.

[0040] The learning means 15 learns the relationship between the answers of the members 21 and the productivity evaluation index of the team to which the members 21 belong.

[0041] The learning means 15 acquires the transition of the answers output by the output means 13 together with the transition of the productivity evaluation index value of the corresponding team, and generates a trained model showing the relationship between the answers of the member 21 and the productivity evaluation index value of the team to which the member 21 belongs. In this case, the learning means 15 can build a trained model common to each team based on the answers and productivity evaluation index values ​​of various teams. Alternatively, the learning means 15 can build a different trained model for each team based on the answers and productivity evaluation index values ​​of each individual team.

[0042] As described above, according to this embodiment, a trained model showing the relationship between answers and productivity evaluation indexes can be constructed based on learning by the learning means 15. Therefore, by using the constructed trained model, it becomes possible to predict, for example, changes in the productivity evaluation index value of a team based on the answers of the members 21 and changes in the answers. Note that even after the trained model is constructed, the accuracy of the trained model can be improved by continuing learning by the learning means 15 and updating the trained model.

[0043] In this embodiment, the prediction results obtained using the learning model and other information can also be output via the output means 13.

[0044] Next, the operation of the expression means 16 will be described.

[0045] The presentation means 16 presents the answers of the members 21 as a radar chart having items for each question, based on the answer information stored in the answer storage unit 12A.

[0046] FIG. 5 is a diagram illustrating a radar chart showing the answers.

[0047] The representation means 16 represents the corresponding answers (level values) using a radar chart with all or some of the questions included in the answer information as items (eight items in the example of FIG. 5). In the example of FIG. 5, display axes 60 corresponding to each item are radially arranged, and scales corresponding to level values ​​1 to 5 are set on each display axis from the center to the periphery of the radar chart. The answers (level values) to each question are represented as a radar chart by connecting line segments 61, each of which has the scale corresponding to the level value at its end, in the circumferential direction. Using such a radar chart, answers (level values) across multiple items can be represented in a single form. Furthermore, for example, by using the area enclosed by the line segments 61 in the radar chart, comparisons that reflect not only the shape but also the magnitude of the values ​​can be made. Note that the average value (total value) of answers to multiple questions can also be assigned to one display axis 60. For example, the average value of answers to multiple questions corresponding to the same type among the four types (1) to (4) of proactive behavior can be assigned to one display axis 60.

[0048] In this embodiment, such a radar chart can be output via the output means 13.

[0049] Furthermore, in this embodiment, the learning means 15 can recognize the answers of the member 21 as data corresponding to a radar chart (FIG. 5). For example, the learning means 15 may recognize the figure of a radar chart generated by the representation means 16. For example, the learning means 15 can recognize features of the figure, such as the presence or absence and position of unevenness between items, and the presence or absence and position of items with extreme protrusions. In this case, the answers of the member 21 can be recognized through features in the figure that are easily recognized by a computer, thereby reducing the processing load required for building a learning model.

[0050] As described above, according to this embodiment, it is possible to improve the productivity of a team based on the answers of the members 21 to questions about proactive behavior.

[0051] Although each embodiment has been described in detail above, it is not limited to the specific embodiment, and various modifications and changes are possible within the scope of the claims. It is also possible to combine all or a plurality of components of the above-described embodiments. [Explanation of symbols]

[0052] 10 Support equipment 11 Question presentation means 12. Method of accepting responses 12A Answer storage section 13 Output Method 14 Memory means 15 Learning tools 16 Means of expression 20 Terminal equipment

Claims

1. A support device that contributes to improving team productivity, a question presenting means for presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, a plurality of times during the life of the team; an answer receiving means for receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output means for outputting a state of change in the level value indicated by the history of the level value received by the response receiving means; A support device comprising:

2. further comprising a storage means for storing a history of productivity evaluation indexes for evaluating the productivity of the team; The support device according to claim 1 , wherein the output means outputs the answer corresponding to a period in which the productivity evaluation index indicated in the history of the productivity evaluation index changed.

3. a storage means for storing a history of productivity evaluation indexes for evaluating the productivity of the team; learning means for learning the relationship between the answer and the productivity evaluation index; 2. The support device according to claim 1, wherein the output means outputs a state of change in the productivity evaluation index predicted based on the relationship learned by the learning means, together with a state of change in the level value.

4. a display means for displaying the answers as a radar chart having items for each of the questions; The support device according to claim 3 , wherein the learning means recognizes the answers as data corresponding to the radar chart.

5. The support device according to claim 1 , wherein the output means outputs the degree of difference in the answers between the members.

6. A support method that contributes to improving team productivity, a question presentation step of presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, multiple times during the life of the team; an answer receiving step of receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output step of outputting a state of change in the level value indicated by the history of the level value received in the response receiving step; A support method that includes:

7. A program for causing a computer to execute a support method that contributes to improving team productivity, The support method includes: a question presentation step of presenting a plurality of questions regarding proactive behavior, the questions being related to the productivity of the team, multiple times during the life of the team; an answer receiving step of receiving answers from the team members to the questions as one of a plurality of level values ​​ranging from negative to positive; an output step of outputting a state of change in the level value indicated by the history of the level value received in the response receiving step; A program that includes:

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