Response analysis device, response analysis method, and program

Abstract

Traditionally, it has been difficult to clearly communicate the results of surveys conducted among members of an organization. [Solution] The response analysis device 1 comprises a response receiving unit 121 that receives one or more member response information, which is one or more response information associated with a member identifier that identifies a member of an organization, and one or more response information associated with a question identifier that identifies a question; an analysis unit 131 that analyzes the one or more member response information received by the response receiving unit 121 and obtains the analysis results; a prompt acquisition unit 133 that uses the analysis results to obtain a prompt including the analysis results; an image acquisition unit 134 that provides the prompt to a generating AI and obtains an image symbolizing the analysis results from the generating AI; and an output unit 14 that outputs the analysis results and the image. This response analysis device 1 makes it possible to convey the analysis results of a questionnaire to the members of an organization in an easy-to-understand manner.

Description

Technical Field

[0001] The present invention relates to a response analysis apparatus and the like that analyzes responses of members to a questionnaire, provides the analysis results to a generative AI, and outputs the analysis results and an image obtained from the generative AI.

Background Art

[0002] Conventionally, there has been an improvement support system that uses questionnaire results by employees to support the improvement of the motivation of employees engaged in work (see Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, it has not been easy to convey the analysis results of a questionnaire to the members of an organization in an understandable manner.

Means for Solving the Problems

[0005] The response analysis apparatus of the first invention includes a response reception unit that receives one or more pieces of member response information including one or more pieces of response information associated with a member identifier for identifying a member of an organization and one or more pieces of response information associated with a question identifier for identifying a question, an analysis unit that analyzes the one or more pieces of member response information received by the response reception unit and obtains an analysis result, a prompt acquisition unit that obtains a prompt including the analysis result using the analysis result, an image acquisition unit that provides the prompt to a generative AI and obtains an image symbolizing the analysis result from the generative AI, and an output unit that outputs the analysis result and the image.

[0006] This structure allows for the clear and easy-to-understand presentation of the results of a survey conducted among the organization's members.

[0007] Furthermore, the response analysis device of this second invention is a response analysis device that, compared to the first invention, has an analysis unit that acquires two or more types of analysis results, a prompt acquisition unit that acquires prompts including two or more types of analysis results, and an image acquisition unit that acquires images corresponding to two or more types of analysis results.

[0008] This structure allows for the clear and easy-to-understand presentation of two or more analysis results from surveys conducted among the organization's members.

[0009] Furthermore, the answer analysis device of this third invention differs from the second invention in that the image is a video, and the image acquisition unit acquires a single video by concatenating two or more videos corresponding to each analysis result.

[0010] This structure allows for the clearer presentation of two or more analysis results from surveys conducted among the organization's members, using video.

[0011] Furthermore, the response analysis device of this fourth invention is a response analysis device that, in relation to any one of the first to third inventions, has a response receiving unit that receives member response information from two or more members, and an analysis unit that analyzes the two or more member response information received by the response receiving unit and obtains the analysis results of the organization to which the two or more members belong.

[0012] This structure allows for the analysis of survey results from two or more members of an organization, making it possible to clearly communicate the analysis results regarding that organization.

[0013] Furthermore, the response analysis device of the fifth invention further comprises an organization management unit that stores organization information having one or more organization attribute values, and the prompt acquisition unit is a response analysis device that acquires prompts that also include one or more organization attribute values.

[0014] This structure allows for the analysis of survey results from two or more members of an organization, making it possible to clearly communicate the analysis results regarding that organization.

[0015] Furthermore, the response analysis device of this sixth invention is a response analysis device that, in addition to any one of the first to third inventions, has an analysis unit that analyzes the response information of each member received by the response reception unit and obtains the analysis result for each member, an image acquisition unit that acquires an image for each member, and an output unit that outputs the analysis result and the image for each member.

[0016] This structure makes it possible to communicate the results of the survey conducted among the organization's members in a more easily understandable way.

[0017] Furthermore, the response analysis device of the seventh invention further comprises a member management unit that stores member information having one or more member attribute values, and the prompt acquisition unit is a response analysis device that acquires prompts that also include one or more member attribute values.

[0018] This structure makes it possible to communicate the results of the survey conducted among the organization's members in a more easily understandable way.

[0019] Furthermore, the response analysis device of the eighth invention further comprises an organization management unit that stores organization information having one or more organization attribute values ​​of the organization to which the member belongs, compared to the sixth or seventh invention, and the prompt acquisition unit is a response analysis device that acquires prompts that also include one or more organization attribute values.

[0020] This structure makes it possible to communicate the results of the survey conducted among the organization's members in a more easily understandable way.

[0021] Furthermore, the response analysis device of the ninth invention is a response analysis device in which, with respect to any one of the first to eighth inventions, the analysis unit acquires analysis results at two or more time points, and the prompt acquisition unit acquires prompts using the analysis results at each of the two or more time points.

[0022] With such a configuration, it is possible to clearly convey the transition of the analysis results of the questionnaire for the members of the organization.

[0023] In addition, the response analysis device of the tenth invention is a response analysis device that, for any one of the first to ninth inventions, among one or more questions included in one or more response information, includes at least a question asking about the degree of expectation for at least one item and a question asking about the degree of satisfaction for one item.

[0024] With such a configuration, it is possible to clearly convey the analysis results of the questionnaire having questions asking about the degree of satisfaction and the degree of expectation.

Effect of the Invention

[0025] According to the response analysis device of the present invention, it is possible to clearly convey the analysis results of the questionnaire for the members of the organization.

Brief Description of the Drawings

[0026] [Figure 1] Conceptual diagram of the information system A in Embodiment 1 [Figure 2] Block diagram of the information system A [Figure 3] Block diagram of the response analysis device 1 [Figure 4] Flowchart for explaining an operation example of the response analysis device 1 [Figure 5] Flowchart for explaining an example of the score acquisition process [Figure 6] Flowchart for explaining an example of the weakness and strength analysis process [Figure 7] Flowchart for explaining an example of the individual weakness and strength analysis process [Figure 8] Flowchart for explaining an example of the goal acquisition process [Figure 9] Flowchart for explaining an example of the organization prompt acquisition process [Figure 10] Flowchart for explaining an example of the individual score acquisition process [Figure 11] A flowchart illustrating an example of the process for determining the same individual type. [Figure 12] A flowchart illustrating an example of the process for obtaining individual goals. [Figure 13] A flowchart illustrating an example of the process for obtaining the personal prompt. [Figure 14] A diagram showing an example of the member management sheet. [Figure 15] A diagram showing an example of an information management table for the same item. [Figure 16] A diagram showing an example of the organization's response information. [Figure 17] A diagram showing an example of the individual score sheet. [Figure 18] A diagram showing an example of the same weakness management table. [Figure 19] A diagram showing an example of a strengths management table. [Figure 20] A diagram showing an example of the same type of management table. [Figure 21] A diagram showing an example of the same target management table. [Figure 22] A diagram showing an example of the prompt template. [Figure 23] A diagram showing an example of the prompt template. [Figure 24] This figure illustrates an example of processing by the response analysis device 1. [Figure 25] A diagram showing an example of the video script. [Figure 26] A diagram showing an example of the organization's output information. [Figure 27] A diagram showing an image of the video with the same configuration. [Figure 28] A diagram showing an example of the analysis results. [Figure 29] Block diagram of the computer system [Modes for carrying out the invention]

[0027] The embodiments of the response analysis device and the like will be described below with reference to the drawings. In the embodiments, components that are denoted by the same reference numerals perform the same operation, and therefore, further explanation may be omitted.

[0028] (Embodiment 1) This embodiment describes a response analysis device that analyzes the responses of members to a questionnaire, provides the analysis results to a generating AI, and outputs the analysis results and an image obtained from the generating AI together. The analysis results are those related to an organization to which two or more members belong. However, the analysis results may also be those related to individual members. The questionnaire is, for example, a set of questions asking about satisfaction levels and expectations regarding items related to the organization.

[0029] In this embodiment, a response analysis device is described that acquires two or more types of analysis results, provides these two or more types of analysis results to a generating AI, acquires images for each type, and outputs them. Furthermore, a response analysis device is described that acquires and outputs a video by concatenating the images for each type.

[0030] In this embodiment, we will describe a response analysis device that also provides organizational attribute values ​​to the generating AI to acquire appropriate images.

[0031] In this embodiment, we will describe a response analysis device that also provides personal attribute values ​​to the generating AI to acquire appropriate images.

[0032] In this embodiment, we will describe a response analysis device that acquires images from a generating AI using the progression of two or more analysis results.

[0033] In this specification, information X being associated with information Y means that information Y can be obtained from information X, or information X can be obtained from information Y, and the method of association is irrelevant. Information X and information Y may be linked, may reside in the same buffer, may information X be contained in information Y, or information Y may be contained in information X, and so on.

[0034] Furthermore, in this specification, selecting or determining information Z means obtaining information Z, obtaining a pointer to information Z, obtaining the ID of information Z, setting a flag on information Z, etc., and it is sufficient to be able to access information Z.

[0035] Figure 1 is a conceptual diagram of information system A in this embodiment. Information system A comprises a response analysis device 1 and one or more terminal devices 2. Information system A may also include one or more generation AI devices 3.

[0036] The response analysis device 1 is a device that analyzes the responses of one or more members to a questionnaire and outputs the analysis results. The response analysis device 1 may be, for example, a cloud server or an ASP server, but the type is not limited. The response analysis device 1 may also operate standalone. In other words, the response analysis device 1 may be a terminal. If the response analysis device 1 is a terminal, it may be, for example, a personal computer, a smartphone, or a tablet terminal, but the type is not limited.

[0037] Terminal device 2 is a device used by the person who reviews the analysis results of the questionnaire responses, or a device used by the member who answers the questionnaire. Terminal device 2 may be, for example, a personal computer, smartphone, or tablet device, but the type is not limited.

[0038] The generation AI device 3 is a device that has the functionality of a generation AI. In this context, the generation AI device 3 typically has the functionality of an image generation AI. The generation AI may be, for example, ChatGPT, Google Bard, Synthesia, DeepBrain AI, Pictory, or Lumen5, but is not limited to these. Note that Google is a registered trademark. The generation AI device 3 may be, for example, a cloud server or an ASP server, but is not limited to these types. The generation AI device 3 will be referred to as the generation AI as appropriate. The response analysis device 1 may also have the functionality of a generation AI. In such cases, the generation AI device 3 is not necessary. The generation AI device 3 may be, for example, a cloud server or an ASP server, but is not limited to these types.

[0039] The response analysis device 1 and one or more terminal devices 2, and the response analysis device 1 and one or more generating AI devices 3 can communicate with each other via a network such as the Internet or a LAN.

[0040] Figure 2 is a block diagram of information system A in this embodiment. Figure 3 is a block diagram of response analysis device 1.

[0041] The response analysis device 1 comprises a storage unit 11, a reception unit 12, a processing unit 13, and an output unit 14. The storage unit 11 comprises an organization management unit 110, a member management unit 111, an item information storage unit 112, a response management unit 113, an individual score table storage unit 114, a weakness storage unit 115, a strength storage unit 116, a type management unit 117, a goal management unit 118, and a prompt template management unit 119. The reception unit 12 comprises a response reception unit 121. The processing unit 13 comprises an analysis unit 131, a goal acquisition unit 132, a prompt acquisition unit 133, and an image acquisition unit 134. The analysis unit 131 comprises an item score acquisition means 1311, a total score acquisition means 1312, an impact acquisition means 1313, and a determination means 1314. The determination means 1314 comprises a weakness acquisition means 13141, a strength acquisition means 13142, and a type determination means 13143.

[0042] The terminal device 2 includes a terminal storage unit 21, a terminal receiving unit 22, a terminal processing unit 23, a terminal transmission unit 24, a terminal receiving unit 25, and a terminal output unit 26.

[0043] The storage unit 11, which constitutes the response analysis device 1, stores various types of information. These types of information include, for example, organizational information, member information, item information, response information, and individual score tables, which will be described later. The individual score tables may also be called engagement score tables, etc.

[0044] The Organization Management Unit 110 stores one or more organizational information. Organizational information refers to information about an organization. Note that "organization" is broadly interpreted and can refer to, for example, a so-called company, a sole proprietorship, a local government, etc. An organization is, for example, an organization that performs some kind of work. It is preferable that the type of organization is not specified. Organizational information is associated with an organizational identifier. Organizational information has one or more organizational attribute values. An organizational identifier is information that identifies an organization. An organizational identifier is, for example, the organization's ID or organization name. Organizational attribute values ​​are, for example, an industry identifier indicating the organization's industry (e.g., bank, apparel, manufacturer, etc.), an industry category, a size identifier classifying the organization's size (e.g., large company, small or medium-sized enterprise, sole proprietorship, etc.), a regional identifier indicating the location of the head office, the number of employees, the company's management policy, keywords of the company's management policy, etc. An organization has one or more members. Note that members are, for example, company employees, school staff, government officials, etc., but may also include company executives, etc.

[0045] The member management unit 111 stores one or more member information entries. Member information refers to information about a member. Member information is associated with a member identifier. A member identifier is information that identifies a member. Member identifiers include, for example, the member's ID, name, email address, and telephone number. Member information has one or more member attribute values. Member attribute values ​​include, for example, job title, gender, age, length of service, department, and occupation. Occupation is, for example, the occupation name (e.g., clerical, research, technical) or the occupation ID.

[0046] The item information storage unit 112 stores two or more items of information. The item information is information about items of the organization. An item may be a question about the organization. An item may be two or more questions (for example, a question asking about satisfaction and expectations). An item may also correspond to a question about the organization. Two or more items may include, for example, a general item concerning general matters of the organization and individual items which are specific items of the organization. Note that a question may also be called a question.

[0047] It should be noted that the overall items are typically items related to questions with a high degree of abstraction. Examples of overall items include company satisfaction (indicating the degree of satisfaction with the company), job satisfaction (indicating the degree of satisfaction with the work), supervisor satisfaction (indicating the degree of satisfaction with the supervisor), and workplace satisfaction (indicating the degree of satisfaction with the workplace). Individual items, on the other hand, include, for example, the company's competitive advantage, communication and dissemination of strategic goals, overall sense of solidarity, and fairness of evaluation and compensation.

[0048] Furthermore, individual items are typically items related to questions with a lower level of abstraction (more specific questions). The item information storage unit 112 contains two or more item information items, for example, item information for four general items and item information for 64 individual items. An item corresponds to, for example, one of two or more targets. A target can also be called a factor. Alternatively, a target can be called an organization-related matter. Item information includes, for example, an item identifier that identifies the item and question information. An item identifier can be, for example, an ID or item name. The item identifier may also be the question information itself. Question information is information indicating a question. A question is typically a questionnaire question. A matter can also be called a target or item.

[0049] The two or more items of information stored in the item information storage unit 112 can be considered a questionnaire.

[0050] The response management unit 113 stores organizational response information for one or more organizations. One organizational response information is a collection of response information from one or more members of one organization. One organizational response information has one or more member response information corresponding to one or more members. Member response information is information that includes the results of members answering questions for items. Member response information has, for example, two or more item response information. Member response information usually has as many item response information as there are items. Item response information usually has an item identifier and response information. Response information is information that indicates the answer to the question. Response information has, for example, satisfaction information. Satisfaction information is information that indicates the degree of satisfaction of members with respect to an item. Satisfaction information is, for example, information that identifies satisfaction with an item. Satisfaction information is classified into two or more classes. Satisfaction information can take any natural number from 1 to 5. However, satisfaction information may be an evaluation value with rank or order, such as A, B, C, or any natural number from 1 to 100. Furthermore, response information may include satisfaction information and expectation information. Expectation information indicates the degree of expectation of the members regarding the item. Expectation information may be information that identifies the degree of expectation for an item. Expectation information is classified into two or more classes. Expectation information may take any natural number from 1 to 5. However, expectation information may be an evaluation value with rank or order, such as A, B, C, or any natural number from 1 to 100. Satisfaction may also be referred to as fulfillment, satisfaction, acceptance, achievement, satisfaction level, etc. Expectation may also be referred to as expected value, expected level, predicted value, desire, prospect, etc.

[0051] Furthermore, the organizational response information in the response management unit 113 is usually associated with an organizational identifier. It is also preferable that the organizational response information is associated with one or more organizational attribute values.

[0052] The individual score table storage unit 114 stores individual score tables. Here, the individual score table is information for determining item scores when satisfaction information and expectation information are provided. Here, the individual score table is, for example, a table having an axis for satisfaction information and an axis for expectation information, with individual scores recorded in each cell of the table, and the item scores are determined when the satisfaction information and expectation information are determined. It is preferable that such an individual score table is one in which a larger item score is obtained the greater the satisfaction indicated by the satisfaction information, and a larger item score is obtained the smaller the expectation indicated by the expectation information.

[0053] Furthermore, when determining item scores, they may be determined by a calculation formula that uses satisfaction information and expectation information as parameters. Preferably, such a formula is an increasing function with satisfaction information as a parameter and a decreasing function with expectation information as a parameter.

[0054] Furthermore, when determining item scores, multiple sets of satisfaction information, expectation information, and item scores may be trained using machine learning, and the acquired trained information may be used. In such cases, the satisfaction information, expectation information, and trained information are applied, and item scores are obtained using machine learning. For example, SVR, deep learning, and decision trees can be used for machine learning. However, the machine learning algorithm is not specified.

[0055] The weakness storage unit 115 stores one or more weakness information. The weakness information in the weakness storage unit 115 is associated with acceptance criteria. The acceptance criteria here are the conditions for accepting the weakness information. The acceptance criteria are conditions relating to one or more question answer information that have answer information corresponding to a question identifier. The acceptance criteria can also be said to be conditions relating to the answer set. The acceptance criteria may also be conditions based on the relative scores of the answer information of two or more questions. For example, the acceptance criteria may be "answer information for question 1 - answer information for question 2 >= threshold" or "answer information for question 1 / answer information for question 2 > threshold".

[0056] Weakness information refers to information that identifies the weaknesses of the member in question. Examples of weakness information include "leadership," "planning ability," "creativity," and "cooperativeness." The term "weakness" can also be replaced with other terms such as shortcomings, challenges, problems, areas for improvement, or flaws.

[0057] Weakness information can also be information that identifies the weaknesses of an organization. Recruitment criteria for weakness information that identifies the weaknesses of an organization may include, for example, "the weakness information that is most prevalent among the weakness information of two or more members belonging to the organization," "the weakness information that is possessed by a percentage of members above a threshold among the weakness information of two or more members belonging to the organization," and "the weakness information that is paired with an item whose representative value (mean, median, etc.) of the item score of two or more members belonging to the organization is below a threshold."

[0058] The strengths storage unit 116 stores one or more strengths. The strengths in the strengths storage unit 116 are associated with adoption criteria. The adoption criteria here are the conditions for adopting the strengths. The adoption criteria are conditions relating to one or more question answer information that have answer information corresponding to a question identifier. The adoption criteria can also be said to be conditions relating to the set of answers. The adoption criteria may also be conditions based on the relative scores of the answer information of two or more questions. For example, the adoption criteria may be "answer information for question 3 - answer information for question 4 >= threshold" or "answer information for question 3 / answer information for question 4 > threshold".

[0059] Strengths information refers to information that identifies the strengths of the members in question. Examples of strengths include "leadership," "planning ability," "creativity," and "cooperativeness." Strengths can also be replaced with other terms such as advantages, areas for improvement, or positive qualities.

[0060] Strengths information may also be information that identifies the strengths of an organization. Recruitment criteria corresponding to strengths information that identifies the strengths of an organization may include, for example, "it is the most common strength among the strengths information of two or more members belonging to the organization," "it is a strength that is possessed by a threshold or higher percentage of members among the strengths information of two or more members belonging to the organization," or "it is a strength that is paired with an item whose representative value (mean, median, etc.) of the item score of two or more members belonging to the organization is above a threshold."

[0061] The type management unit 117 stores type identifiers associated with two or more type conditions.

[0062] Type criteria are conditions used to determine the user type. Type criteria are based on member response information. Type criteria are based on member response information from a questionnaire administered to one or more members.

[0063] A type condition is, for example, a condition relating to one or more weaknesses. A type condition is, for example, a condition relating to one or more strengths. A type condition is, for example, a condition relating to one or more weaknesses and one or more strengths. A type condition is, for example, one weakness or one strength.

[0064] The type condition may also be a type vector. A type vector is a vector that corresponds to one or more member response information. For example, a type vector may be a vector whose elements are the response information contained in one or more member response information, a vector whose elements are the results of statistically processing two or more response information contained in one or more member response information, or a vector whose elements are the response information contained in one or more member response information and the results of statistically processing two or more response information contained in one or more member response information.

[0065] A type identifier is information that identifies the type of user. For example, a type identifier could be an ID or type name that identifies the type. Here, "user" refers to a member of an organization. Examples of type identifiers include "vision-driven leader" or "perpetual playing manager." Note that a type identifier can also be information that identifies the type of organization.

[0066] The goal management unit 118 stores goal information associated with two or more goal conditions. Goal conditions are the conditions for determining goal information. Goal conditions are, for example, conditions relating to one or more type identifiers. Goal information is information that identifies the user's goal. Goal information is, for example, "overcoming playing manager syndrome" or "overcoming lack of company-wide perspective syndrome." Goal information can also be called advice information. Advice information is information that provides advice for the user to improve. Goal information may also be information that identifies the organization's goal. Goal information that identifies the organization's goal can also be called organizational goal information. Goal information that identifies the goal of a member can also be called individual goal information.

[0067] The prompt template management unit 119 stores one or more prompt templates. A prompt template is information for constructing a prompt. A prompt template is, for example, a file. A prompt template usually has one or more variables. These variables may, for example, contain analysis results. These variables may, for example, contain target information based on the analysis results.

[0068] Prompt templates include, for example, organizational prompt templates and individual prompt templates. An organizational prompt template is a prompt template for constructing prompts to obtain images corresponding to the analysis results or target information of an organization. An individual prompt template is a prompt template for constructing prompts to obtain images corresponding to the analysis results or target information of a single member.

[0069] A prompt is information given to the generative AI. A prompt can also be described as a request or inquiry to the generative AI. In this case, the prompt is for obtaining an image from the generative AI. The image is preferably a video, but a still image is also acceptable. The image may include text or audio describing the video or still image. The video itself may be a video script used to obtain the video.

[0070] The prompts here are, for example, prompts to acquire images that allow the user to intuitively understand one or more analysis results acquired by the analysis unit 131. The prompts here are, for example, prompts to acquire images that allow the user to intuitively understand one or more target information acquired by the target acquisition unit 132.

[0071] The reception unit 12 receives various instructions and information. These instructions and information include, for example, member response information, organizational response information, analysis instructions, and questionnaire output instructions, which will be described later.

[0072] An analysis instruction is an instruction for the analysis of organizational response information or member response information. An analysis instruction may include, for example, an organizational identifier or a member identifier.

[0073] In this context, "reception" typically refers to reception from terminal device 2. However, the concept of "reception" may also include the reception of information input from input devices such as keyboards, mice, and touch panels, as well as the reception of information read from recording media such as optical discs, magnetic discs, and semiconductor memory.

[0074] A survey output instruction is an instruction to output the survey. Output here usually means sending the results, but it can also mean displaying them. It is preferable for the survey output instruction to have a survey identifier. A survey identifier is information that identifies the survey.

[0075] The response receiving unit 121 receives one or more member response information. One or more member response information is associated with a member identifier or organization identifier. Member response information is the answer of one member to one or more questions. Member response information has one or more response information. Response information is the answer to one question. Each of the one or more response information is associated with a question identifier. A question identifier is information that identifies a question. The question identifier may be the same as the item identifier. Response information may also be called item response information.

[0076] The processing unit 13 performs various processes. These processes include, for example, those performed by the analysis unit 131, the target acquisition unit 132, the prompt acquisition unit 133, and the image acquisition unit 134.

[0077] The analysis unit 131 analyzes one or more member response information received by the response reception unit 121 and obtains analysis results. The analysis results may be, for example, organizational analysis results or member analysis results. It is preferable that the analysis results obtained by the analysis unit 131 consist of two or more types. It is preferable that the two or more types of analysis results are hierarchical information. Hierarchical information can be said to be hierarchical analysis results. The analysis results may be, for example, item scores, overall scores, engagement scores, weakness information, strength information, and type information.

[0078] The analysis unit 131 analyzes the member response information received by the response reception unit 121 and obtains the analysis results for the organization to which the said member belongs.

[0079] The analysis unit 131 analyzes the response information from each member received by the response reception unit 121 and obtains the analysis results for each member.

[0080] The analysis unit 131 preferably acquires analysis results at two or more time points.

[0081] The item score acquisition means 1311 statistically processes the response information of one or more members included in the organizational response information for each organization and each item, and acquires item scores.

[0082] The item score acquisition means 1311 statistically processes the satisfaction information contained in the response information for two or more items included in the organizational response information of each organization, for each organization, and acquires item scores for each organization and each item. The item score acquisition means 1311 may, for example, calculate the average value of the satisfaction information for each organization and each item, and store such average value as an item score paired with an item identifier in a buffer or storage unit 11 (not shown). Alternatively, the item score acquisition means 1311 may, for example, calculate a weighted average of the satisfaction information for each organization and each item by assigning different weights according to the attribute values ​​of the members, and store such weighted average value as an item score paired with an item identifier in a buffer or storage unit 11 (not shown). For example, the item score acquisition means 1311 may calculate a weighted average by comparing the satisfaction information of employees with longer years of service with the satisfaction information of employees with shorter years of service and giving them a heavier weight.

[0083] The item score acquisition means 1311 acquires item scores for each organization using satisfaction information and expectation information for at least some items. The items for which item scores are acquired using satisfaction information and expectation information are, for example, individual items.

[0084] The item score acquisition means 1311 is preferably configured to acquire item scores such that, for example, a high satisfaction level results in a high score, and a low expectation level results in a high score.

[0085] The item score acquisition means 1311 calculates, for example, the average value of satisfaction information contained in the response information and the average value of expectation information contained in the response information for each of the two or more items for each of the one or two or more organizations, and uses the two average values ​​to acquire an item score for each item.

[0086] The item score acquisition means 1311 may, for example, apply satisfaction information and expectation information to an individual score table and acquire an item score for each item. Alternatively, the item score acquisition means 1311 may, for example, apply the statistical processing results of the satisfaction information (e.g., mean or weighted mean) and the statistical processing results of the expectation information (e.g., mean or weighted mean) to an individual score table and acquire an item score for each item. The weighted mean is a weighted mean based on the attribute values ​​of the members.

[0087] The item score acquisition means 1311 may, for example, calculate the item score for each item using an increasing function with the average value of satisfaction information as a parameter, and a decreasing function with the average value of expectation information as a parameter.

[0088] The overall score acquisition means 1312 acquires an overall score for each of the one or more organizational response information using two or more item scores. The overall score is a comprehensive score for each organization. Generally, the overall score acquisition means 1312 acquires a higher overall score the better the scores of the two or more individual item scores are.

[0089] The overall score acquisition means 1312 preferably acquires the overall score using a score adjustment function as follows. The score adjustment function is a function that adjusts the score using correlation information regarding the degree of correlation between satisfaction information and expectation information. In this case, it is preferable that the score adjustment function is configured so that a higher correlation between satisfaction information and expectation information results in a higher overall score.

[0090] The overall score acquisition means 1312, for example, acquires a provisional overall score for each organization using two or more item scores, acquires correlation information regarding the degree of correlation between satisfaction information and expectation information for each of the two or more items, and uses this correlation information to acquire an overall score from the provisional overall score such that the score increases as the degree of correlation increases. The correlation information may be the correlation value between the set of satisfaction information for two or more items and the set of expectation information, or it may be a value calculated by an increasing function whose parameter is the number of items where the difference between the satisfaction information for two or more items and the expectation information for two or more items is less than or equal to a threshold, or it may be a value calculated by an decreasing function whose parameter is the number of items where the difference between the satisfaction information for two or more items and the expectation information for two or more items is less than or equal to a threshold and the satisfaction information is smaller. In other words, the algorithm for acquiring the correlation information is not specified.

[0091] The overall score acquisition means 1312 preferably acquires an overall score by using both the item score for the overall item and the item score for the individual item, and by comparing the item score for the overall item with the item score for the individual item and giving it a greater weight.

[0092] The overall score acquisition means 1312 may calculate the overall score using, for example, the formula: "Overall score = α × statistical score of item scores for the overall item + β × statistical score of item scores for individual items". Here, it is preferable that (α > β). In other words, it is preferable for the overall score acquisition means 1312 to obtain the overall score by comparing the item scores for the overall item with the item scores for individual items and giving them a larger weight. For example, "α = 0.7, β = 0.3". The statistical score of item scores for the overall item is, for example, the average value or weighted average of the item scores for the overall item. The statistical score of item scores for individual items is, for example, the average value or weighted average of the item scores for individual items.

[0093] Furthermore, the overall score acquisition means 1312 may calculate a provisional overall score using, for example, "provisional overall score = α × statistical score of item scores for the overall item + β × statistical score of item scores for individual items," and then perform score adjustments using the score adjustment function described above to calculate the overall score. In addition, the overall score acquisition means 1312 may, for example, use the overall scores of multiple organizations to calculate the standard score of the overall score of each organization, and use such standard score as the final overall score.

[0094] The impact acquisition method 1313 acquires the degree of influence that each item score has on the overall score. The degree of influence that each item score has on the overall score can also be described as the degree of influence that each item has on the overall score.

[0095] The impact acquisition means 1313 uses the item scores of two or more items from two or more organizations, and the overall score of two or more organizations, to acquire the degree of influence that each item score has on the overall score, item by item. The impact is, for example, information indicating the influence that an item score has on the overall score, and is the correlation between a set of item scores from multiple organizations and a set of overall scores from those multiple organizations. Note that the process for acquiring correlation, correlation value, and correlation information is publicly known, so a detailed explanation is omitted.

[0096] The impact acquisition method 1313 uses the overall score of two or more organizations and the item scores of each item of two or more organizations to calculate the impact for each item, which is information regarding the correlation between the item score of each item and the overall score.

[0097] The impact acquisition means 1313 preferably acquires the degree of influence that each item's item score has on the overall score for each attribute value of the organization. In other words, if the organization's attribute value is an industry identifier, the impact acquisition means 1313 preferably acquires the degree of influence for each item for each industry corresponding to the industry identifier.

[0098] The determination means 1314 determines the type of member using one or more member response information and obtains type information including a type identifier that identifies the type.

[0099] The determination means 1314 is, for example, one or more member response information received by the response receiving unit 121, and obtains a type identifier corresponding to one or more member response information for a member from the type management unit 117.

[0100] The determination means 1314 obtains a type identifier from the type management unit 117, for example, using the analysis results of one or more member response information for each member. The analysis results include, for example, weakness information and strength information.

[0101] The determination means 1314 obtains, for example, a type identifier from the type management unit 117 that corresponds to a vector obtained from one or more member response information received by the response receiving unit 121.

[0102] The determination means 1314 obtains, for example, a type identifier from the type management unit 117 that pairs with a vector of similarity that satisfies the similarity condition, for a vector obtained from one or more member response information received by the response reception unit 121. The similarity condition is, for example, that the similarity is equal to or greater than a threshold. Another similarity condition is that the similarity is greater than or equal to the top N (where N is a natural number greater than or equal to 1).

[0103] The vectors obtained from member response information are vectors whose elements are the response information contained in the member response information, vectors whose elements are the results of statistically processing two or more response information contained in the member response information, or vectors whose elements are the response information contained in the member response information and the results of statistically processing two or more response information contained in the member response information. The results of statistically processing two or more response information are, for example, representative values ​​of two or more response information (e.g., mean, median, maximum, minimum).

[0104] The determination means 1314 acquires type information, for example, by means of a weakness acquisition means 13141, a strength acquisition means 13142, and a type determination means 13143.

[0105] The weakness acquisition means 13141 refers to the weakness storage unit 115 and acquires one or more weakness information corresponding to one or more member response information for a member.

[0106] The weakness acquisition means 13141, for example, refers to the weakness storage unit 115 to determine one or more recruitment conditions that the member response information satisfies, and acquires weakness information corresponding to each of the one or two or more recruitment conditions from the weakness storage unit 115.

[0107] The weakness acquisition means 13141 acquires, for example, one or more weaknesses from the weakness storage unit 115 that correspond to one or more answer pieces of information contained in one or more member answer information. One or more weaknesses corresponding to one or more answer pieces of information are, for example, one or more weaknesses that are paired with a vector whose elements are one or more answer pieces of information and a vector of similarity that satisfies the similarity condition.

[0108] The weakness acquisition means 13141 acquires, for example, one or more weakness information from the weakness storage unit 115 that corresponds to one or more statistical processing results obtained by statistically processing two or more response information contained in one or more member response information. One or more weakness information corresponding to one or more statistical processing results obtained by statistically processing two or more response information is one or more weakness information that pairs with a vector whose elements are one or more statistical processing results obtained by statistically processing two or more response information, and a similarity vector that satisfies the similarity condition.

[0109] The weakness acquisition means 13141 acquires weakness information from the weakness storage unit 115 for one or more items where the difference between the expected level and the satisfaction level is equal to or greater than a threshold. In this case, the adoption condition is that the difference between the expected level and the satisfaction level for one or more items is equal to or greater than a threshold.

[0110] The weakness acquisition means 13141 acquires weakness information from the weakness storage unit 115, for example, that corresponds to the relative difference in scores between two or more items. In this case, the selection condition is that the relative difference in scores between two or more items is equal to or greater than a threshold. The score of an item is, for example, the satisfaction level of one item, or the difference between the expectation level and the satisfaction level of one item.

[0111] The strength acquisition means 13142 refers to the strength storage unit 116 and acquires one or more strength information corresponding to one or more member response information for a member.

[0112] The strengths acquisition means 13142, for example, refers to the strengths storage unit 116 to determine one or more recruitment conditions that the member response information satisfies, and acquires strengths information corresponding to each of the one or more recruitment conditions from the weaknesses storage unit 115.

[0113] The strength acquisition means 13142 acquires, for example, one or more strength pieces of information from the strength storage unit 116 that correspond to one or more answer pieces of information contained in one or more member answer pieces of information. One or more strength pieces of information corresponding to one or more answer pieces of information are, for example, one or more strength pieces of information that are paired with a vector whose elements are one or more answer pieces of information and a vector of similarity that satisfies the similarity condition.

[0114] The strength acquisition means 13142 acquires, for example, one or more strength information from the strength storage unit 116 that corresponds to one or more statistical processing results obtained by statistically processing two or more response information contained in one or more member response information. One or more strength information corresponding to one or more statistical processing results obtained by statistically processing two or more response information is one or more strength information that pairs with a vector whose elements are one or more statistical processing results obtained by statistically processing two or more response information, and a similarity vector that satisfies the similarity condition.

[0115] The strength acquisition means 13142 acquires strength information from the strength storage unit 116 for one or more items where the difference between expectation and satisfaction is less than or equal to a threshold. In this case, the adoption condition is that the difference between expectation and satisfaction for one or more items is less than or equal to a threshold.

[0116] The strength acquisition means 13142 acquires strength information from the strength storage unit 116, for example, that corresponds to the relative score difference between two or more items. In this case, the selection condition is that the relative score difference between two or more items is equal to or greater than a threshold.

[0117] The type determination means 13143 determines, for example, one or more type conditions that are satisfied by one or more pieces of weakness information acquired by the weakness acquisition means 13141, and obtains one or more type identifiers that correspond to those type conditions.

[0118] The type determination means 13143 determines, for example, one or more type conditions that are satisfied by one or more strength information acquired by the strength acquisition means 13142, and obtains a type identifier corresponding to said type conditions.

[0119] The type determination means 13143 determines, for example, one or more type conditions that are satisfied by one or more weakness information obtained by the weakness acquisition means 13141 and one or more strength information obtained by the strength acquisition means 13142, and obtains one or more type identifiers that correspond to said type conditions.

[0120] The target acquisition unit 132 acquires target information corresponding to one or more type identifiers acquired by the determination means 1314 from the target management unit 118.

[0121] The target acquisition unit 132 acquires target information from the target management unit 118 that is paired with one or more target conditions that match one or more type identifiers acquired by the determination means 1314.

[0122] The prompt acquisition unit 133 uses one or more analysis results acquired by the analysis unit 131 to acquire a prompt to be given to the generating AI. Typically, the prompt acquisition unit 133 acquires a prompt that includes one or more analysis results acquired by the analysis unit 131.

[0123] The prompt acquisition unit 133 configures a prompt by substituting one or more analysis results obtained by the analysis unit 131 into one or more variables of the prompt template in the prompt template management unit 119. The prompt acquisition unit 133 configures a prompt by substituting one or more target information obtained by the target management unit 118 into one or more variables of the prompt template in the prompt template management unit 119.

[0124] The prompt acquisition unit 133 preferably acquires prompts that include two or more types of analysis results. The prompt acquisition unit 133 preferably acquires prompts that also include one or more organizational attribute values. The prompt acquisition unit 133 preferably acquires prompts that also include one or more constituent attribute values. The prompt acquisition unit 133 preferably acquires prompts that include target information acquired by the target acquisition unit 132. The prompt acquisition unit 133 preferably acquires prompts that use analysis results from two or more different time points.

[0125] The image acquisition unit 134 provides the prompt acquired by the prompt acquisition unit 133 to the generating AI, and acquires an image from the generating AI that symbolizes the analysis result. It is preferable for the image acquisition unit 134 to acquire images corresponding to two or more types of analysis results.

[0126] The image acquisition unit 134 preferably acquires a single video by concatenating videos corresponding to two or more types of analysis results. For example, the image acquisition unit 134 preferably acquires an image from the generating AI for each of two or more types of analysis results and acquires a single video by concatenating those two or more images. The image acquisition unit 134 preferably acquires a single video by concatenating videos corresponding to one or more types of analysis results and target information.

[0127] The image acquisition unit 134 may acquire an image corresponding to the analysis results for each member.

[0128] An image symbolizing the analysis results is typically an image intended to help people intuitively understand the results. It can be broadly interpreted as any image related to the analysis results.

[0129] The output unit 14 outputs one or more analysis results obtained by the analysis unit 131 and the image obtained by the image acquisition unit 134. It is preferable for the output unit 14 to output one or more analysis results and the image together, as this facilitates understanding of the analysis results. Outputting them together usually means outputting them on the same screen or in the same window.

[0130] The output unit 14 preferably outputs the target information acquired by the target acquisition unit 132 and the image acquired by the image acquisition unit 134. The output unit 14 also preferably outputs the target information and the image together, as this facilitates understanding of the target information.

[0131] The output unit 14 may output the analysis results and images for each member. It is preferable for the output unit 14 to output the analysis results and images together for each member.

[0132] Here, output usually refers to transmission to terminal device 2, but it may also be a concept that includes display on a screen, projection using a projector, printing with a printer, sound output, transmission to devices other than terminal device 2, storage on a recording medium, and delivery of processing results to other processing devices or other programs.

[0133] The terminal storage unit 21, which constitutes the terminal device 2, stores various types of information. These types of information include, for example, an organization identifier that identifies the organization to which a member belongs, member response information, and another member identifier.

[0134] The terminal reception unit 22 receives various instructions and information. Here, "reception" is a concept that includes receiving information entered from input devices such as keyboards, mice, and touch panels, receiving information transmitted via wired or wireless communication lines, and receiving information read from recording media such as optical discs, magnetic discs, and semiconductor memory. Various instructions and information include, for example, analysis instructions, organizational response information, and member response information.

[0135] The input methods for various instructions and information can be anything, such as a touch panel, keyboard, mouse, or menu screen. The terminal reception unit 22 can be implemented using device drivers for input methods such as touch panels and keyboards, or control software for menu screens.

[0136] The terminal processing unit 23 performs various processes. These various processes include, for example, the process of structuring the information received by the terminal receiving unit 25 into data to be displayed. These various processes also include, for example, the process of structuring instructions received by the terminal reception unit 22 into instructions to be transmitted.

[0137] The terminal transmission unit 24 transmits various instructions and information to the response analysis device 1. These instructions and information include, for example, instructions configured by the terminal processing unit 23 and instructions and information received by the terminal reception unit 22. These instructions and information include, for example, analysis instructions, member response information, and organizational response information.

[0138] The terminal receiving unit 25 receives various types of information from the response analysis device 1. These types of information include, for example, analysis results, target information, and images.

[0139] The terminal output unit 26 acquires various types of information. These types of information include, for example, information received by the terminal reception unit 22, information received by the terminal receiving unit 25, and information generated by the terminal processing unit 23. These types of information include, for example, analysis results, target information, and images.

[0140] The storage unit 11, organization management unit 110, member management unit 111, item information storage unit 112, response management unit 113, individual score table storage unit 114, weakness storage unit 115, strength storage unit 116, type management unit 117, goal management unit 118, prompt template management unit 119, and terminal storage unit 21 are preferably made of non-volatile recording media, but can also be made of volatile recording media.

[0141] The process by which information is stored in the storage unit 11, etc. is not relevant. For example, information may be stored in the storage unit 11, etc. via a recording medium, information transmitted via a communication line, etc. may be stored in the storage unit 11, etc., or information input via an input device may be stored in the storage unit 11, etc.

[0142] The reception unit 12 and the response reception unit 121 are usually implemented by wireless or wired communication means, but they may also be implemented by means of receiving broadcasts, device drivers for input means such as touch panels and keyboards, or control software for menu screens.

[0143] The processing unit 13, analysis unit 131, target acquisition unit 132, prompt acquisition unit 133, image acquisition unit 134, item score acquisition means 1311, overall score acquisition means 1312, influence acquisition means 1313, determination means 1314, weakness acquisition means 13141, strength acquisition means 13142, type determination means 13143, and terminal processing unit 23 can typically be implemented using a processor, memory, etc. The processing procedures of the processing unit 13, etc., are typically implemented in software, and this software is recorded on a recording medium such as ROM. However, it may also be implemented in hardware (dedicated circuitry). The processor can be a CPU, MPU, GPU, etc., and the type is not specified.

[0144] The output unit 14 is usually implemented by wireless or wired communication means, but it may also be implemented by driver software for an output device such as a display or speaker, or by driver software for an output device and the output device itself.

[0145] The terminal reception unit 22 can be implemented using device drivers for input means such as touch panels and keyboards, or control software for menu screens, etc.

[0146] The terminal transmitting unit 24 and the terminal receiving unit 25 are typically implemented using wireless or wired communication means.

[0147] The terminal output unit 26 may or may not be considered to include output devices such as a display or speakers. The terminal output unit 26 can be implemented using driver software for an output device, or driver software for an output device and an output device.

[0148] Next, an example of the operation of the response analysis device 1 will be explained using the flowchart in Figure 4. It should be assumed that the response management unit 113 stores organizational response information for one or more organizations. Also, it should be assumed that the individual score table storage unit 114 stores individual score tables.

[0149] (Step S401) The reception unit 12 determines whether or not it has received an analysis instruction from the terminal device 2. If an analysis instruction has been received, it proceeds to step S402; otherwise, it proceeds to step S419. The analysis instruction includes, for example, an organization identifier or a member identifier.

[0150] (Step S402) The analysis unit 131 determines whether the analysis instruction received in step S401 is an analysis instruction for an organization or an analysis instruction for an individual member. If it is an analysis instruction for an organization, it proceeds to step S403; if it is an analysis instruction for an individual, it proceeds to step S411. For example, the analysis unit 131 determines that an analysis instruction is for an organization if it includes an organization identifier, and determines that an analysis instruction is for an individual if it includes a member identifier.

[0151] (Step S403) The analysis unit 131 obtains the tissue identifier contained in the analysis instruction received in step S401.

[0152] (Step S404) The analysis unit 131 performs a process to obtain a score for the organization identified by the organization identifier obtained in step S403. An example of such a score acquisition process will be explained using the flowchart in Figure 5.

[0153] (Step S405) The analysis unit 131 analyzes the organization's weaknesses and strengths. An example of this weakness-strength analysis process will be explained using the flowchart in Figure 6.

[0154] (Step S406) The goal acquisition unit 132 acquires the organization's goal information using the analysis results obtained in steps S404 and S405. An example of this goal acquisition process will be explained using the flowchart in Figure 8.

[0155] (Step S407) The prompt acquisition unit 133 acquires a prompt for acquiring an image of the tissue. An example of such tissue prompt acquisition process will be explained using the flowchart in Figure 9.

[0156] (Step S408) The image acquisition unit 134 passes the prompt acquired in step S407 to the generation AI and acquires an image from the generation AI.

[0157] (Step S409) The processing unit 13 configures information comprising one or more analysis results obtained in steps S404 to S406, target information, and images obtained in step S408. This information is tissue output information.

[0158] (Step S410) The output unit 14 transmits the tissue output information configured in step S409 to the terminal device 2. Return to step S401.

[0159] (Step S411) The analysis unit 131 obtains the member identifier contained in the analysis instruction received in step S401.

[0160] (Step S412) The analysis unit 131 obtains the score of the member identified by the member identifier obtained in step S411. An example of such individual score acquisition process will be explained using the flowchart in Figure 10.

[0161] (Step S413) The determination means 1314 determines the type of member identified by the member identifier obtained in step S411. An example of such personal type determination process will be explained using the flowchart in Figure 11.

[0162] (Step S414) The goal acquisition unit 132 acquires the goal information of the member identified by the member identifier acquired in step S411. An example of such individual goal acquisition processing will be explained using the flowchart in Figure 12.

[0163] (Step S415) The prompt acquisition unit 133 acquires a prompt to acquire an image for one of the members. An example of such individual prompt acquisition processing will be explained using the flowchart in Figure 13.

[0164] (Step S416) The image acquisition unit 134 passes the prompt acquired in step S415 to the generation AI and acquires an image from the generation AI.

[0165] (Step S417) The processing unit 13 configures information comprising one or more analysis results obtained in steps S412 to S414, target information, and an image obtained in step S416. This information is personal output information.

[0166] (Step S418) The output unit 14 transmits the personal output information configured in step S417 to the terminal device 2. Return to step S401.

[0167] (Step S419) The response receiving unit 121 determines whether it has received one or more member response information from the terminal device 2. If member response information is received, the unit proceeds to step S420; otherwise, it returns to step S401.

[0168] (Step S420) The processing unit 13 stores the received member response information in the response management unit 113. The process returns to step S401. It is preferable for the processing unit 13 to store the member response information in association with a member identifier. It is also preferable for the processing unit 13 to store the member response information in association with an organization identifier.

[0169] In the flowchart shown in Figure 4, processing is terminated by power-off or processing termination interrupts.

[0170] Next, an example of the score acquisition process in step S404 will be explained using the flowchart in Figure 5.

[0171] (Step S501) The item score acquisition means 1311 assigns 1 to counter i.

[0172] (Step S502) The item score acquisition means 1311 acquires organizational response information from the response management unit 113 that corresponds to the acquired organizational identifier. The item score acquisition means 1311 determines whether or not the item identifier for the i-th individual item exists in the organizational response information. If the item identifier for the i-th individual item exists, the process proceeds to step S503; otherwise, the process proceeds to step S509.

[0173] (Step S503) The item score acquisition means 1311 acquires satisfaction information for all members, which is paired with the item identifier of the i-th individual item in the organizational response information acquired in step S502.

[0174] (Step S504) The item score acquisition means 1311 statistically processes the satisfaction information acquired in step S503 and calculates statistical satisfaction information (for example, the mean or median of the satisfaction information). The item score acquisition means 1311 then stores the calculated statistical satisfaction information in the storage unit 11 or a buffer (not shown) in pairs with the item identifier of the i-th individual item.

[0175] (Step S505) The item score acquisition means 1311 acquires expectation information of all members, which is paired with the item identifier of the i-th individual item in the acquired organizational response information.

[0176] (Step S506) The item score acquisition means 1311 statistically processes the expectation information acquired in step S505 and calculates statistical expectation information (for example, the mean or median of the expectation information). The item score acquisition means 1311 then stores the calculated statistical expectation information in the storage unit 11 or a buffer (not shown) in conjunction with the item identifier of the i-th individual item.

[0177] (Step S507) The item score acquisition means 1311 uses statistical satisfaction information and statistical expectation information to acquire the item score of the i-th individual item of the organization under consideration. The item score acquisition means 1311 applies, for example, the statistical satisfaction information and statistical expectation information to the individual score table in the individual score table storage unit 114 to acquire the item score of the i-th individual item. The item score acquisition means 1311 then stores the acquired item score in the storage unit 11 or a buffer (not shown) in pairs with the item identifier of the i-th individual item.

[0178] (Step S508) The item score acquisition means 1311 increments the counter i by 1. Return to step S502.

[0179] (Step S509) The item score acquisition means 1311 assigns 1 to counter j.

[0180] (Step S510) The item score acquisition means 1311 determines whether or not the item identifier for the j-th comprehensive item exists in the acquired organizational response information. If the item identifier for the j-th comprehensive item exists, proceed to step S511; otherwise, proceed to step S514.

[0181] (Step S511) The item score acquisition means 1311 acquires satisfaction information for all members, which is paired with the item identifier of the j-th overall item in the acquired organizational response information.

[0182] (Step S512) The item score acquisition means 1311 statistically processes the satisfaction information acquired in step S511 and calculates statistical satisfaction information. Here, the item score acquisition means 1311 calculates statistical satisfaction information, which is, for example, the average value of the satisfaction information acquired in step S511. The item score acquisition means 1311 then stores the calculated statistical satisfaction information in the storage unit 11 or a buffer (not shown) in pairs with the item identifier of the j-th overall item.

[0183] (Step S513) The item score acquisition means 1311 increments counter j by 1. Return to step S510.

[0184] (Step S514) The overall score acquisition means 1312 acquires all item scores for individual items from the storage unit 11 or a buffer (not shown). The item scores for individual items are the scores acquired in step S507.

[0185] (Step S515) The overall score acquisition means 1312 obtains the overall score for each individual item from all the item scores obtained in step S514. For example, the overall score acquisition means 1312 calculates the average value of all the item scores obtained in step S514 and obtains this average value as the overall score for each individual item.

[0186] (Step S516) The overall score acquisition means 1312 acquires statistical satisfaction information for all items of the overall items from the storage unit 11 or a buffer (not shown).

[0187] (Step S517) The overall score acquisition means 1312 statistically processes the statistical satisfaction information of all items acquired in step S516 and calculates the overall statistical satisfaction information for the items. For example, the overall score acquisition means 1312 calculates the average value of the statistical satisfaction information of all items acquired in step S516 and acquires it as the overall statistical satisfaction information for the items.

[0188] (Step S518) The overall score acquisition means 1312 calculates a provisional overall score from the overall scores of the individual items obtained in step S515 and the statistical satisfaction information of the overall items obtained in step S517. The overall score acquisition means 1312 calculates the provisional overall score using, for example, the formula "Provisional overall score = α × statistical satisfaction information of the overall items + β × overall score of the individual items". Note that "α" and "β" are weights and are usually positive values.

[0189] (Step S519) The overall score acquisition means 1312 obtains correlation information regarding the correlation between the set of satisfaction information and the set of expectation information from the set of satisfaction information for all individual items and the set of expectation information for all individual items.

[0190] (Step S520) The overall score acquisition means 1312 adjusts the provisional overall score obtained in step S518 using the correlation information obtained in step S519 and obtains the overall score. It returns to the higher-level processing. The overall score acquisition means 1312 obtains the overall score such that the greater the degree of correlation indicated by the correlation information, the higher the overall score.

[0191] In addition, in the flowchart of Figure 5, the item score acquisition means 1311 may acquire item scores for two or more members for each item, and the representative value (e.g., mean, weighted mean, median) of these two or more item scores may be used as the organization's item score.

[0192] Furthermore, in the flowchart of Figure 5, the overall score acquisition means 1312 may acquire the overall score of each of the two or more members, and the representative value of these two or more overall scores (e.g., mean, weighted mean, median) may be used as the overall score of the organization.

[0193] Next, we will explain an example of the weakness and strength analysis process in step S505 using the flowchart in Figure 6.

[0194] (Step S601) The determination means 1314 assigns 1 to counter i.

[0195] (Step S602) The determination means 1314 determines whether or not the i-th member exists. If the i-th member exists, the process goes to step S603; otherwise, the process goes to step S606.

[0196] Furthermore, the determination means 1314 determines whether or not the i-th member exists by checking, for example, whether or not the i-th member identifier, which is paired with the organizational identifier of the organization of interest, exists in the member management unit 111.

[0197] (Step S603) The determination means 1314 obtains the member identifier of the i-th member.

[0198] (Step S604) The determination means 1314 analyzes the weaknesses and strengths of the i-th member using the member response information of the i-th member. An example of such individual weakness and strength analysis process will be explained using the flowchart in Figure 7.

[0199] (Step S605) The determination means 1314 increments the counter i by 1. Return to step S602.

[0200] (Step S606) The weakness acquisition means 13141 acquires weakness information of the organization using weakness information of one or more members. The weakness information of the organization is, for example, the weakness information of members that is above a threshold percentage, or the weakness information that is most frequent.

[0201] (Step S607) The strength acquisition means 13142 acquires the strength information of the organization using the strength information of one or more members. It returns to the higher-level processing. The strength information of the organization is, for example, the strength information of members that is above a threshold percentage among the member strength information, or the strength information that was most frequent.

[0202] Next, we will explain an example of the individual strengths and weaknesses analysis process in step S604 using the flowchart in Figure 7.

[0203] (Step S701) The determination means 1314 assigns 1 to counter i.

[0204] (Step S702) The weakness acquisition means 13141 determines whether the i-th weakness information of the selected candidate exists in the weakness storage unit 115. If the i-th weakness information exists, the process proceeds to step S703; otherwise, the process proceeds to step S709.

[0205] (Step S703) The weakness acquisition means 13141 acquires the i-th weakness information from the weakness storage unit 115. Next, the weakness acquisition means 13141 acquires one or more question identifiers that will be used to determine the hiring conditions corresponding to the i-th weakness information. Such question identifiers are included in the hiring conditions, for example. It is also possible to consider the question identifiers as being synonymous with item identifiers.

[0206] (Step S704) The weakness acquisition means 13141 is the answer information that is paired with one or more question identifiers acquired in step S703, and the answer information of the member is acquired from the answer management unit 113.

[0207] (Step S705) The weakness acquisition means 13141 acquires the employment conditions that correspond to the i-th weakness information from the weakness storage unit 115.

[0208] (Step S706) The weakness acquisition method 13141 determines whether one or more pieces of information obtained in Step S704 meet the hiring criteria. If the hiring criteria are met, proceed to Step S707; otherwise, proceed to Step S708.

[0209] (Step S707) The weakness acquisition means 13141 acquires the i-th weakness information and stores the weakness information in association with the member identifier of the member.

[0210] (Step S708) The determination means 1314 increments the counter i by 1. Return to step S702.

[0211] (Step S709) The determination means 1314 assigns 1 to counter j.

[0212] (Step S710) The strength acquisition means 13142 determines whether the j-th strength information of the selected candidate exists in the strength storage unit 116. If the j-th strength information exists, the process proceeds to step S711; otherwise, it returns to the higher-level process.

[0213] (Step S711) The strength acquisition means 13142 acquires the j-th strength information from the strength storage unit 116. Next, the strength acquisition means 13142 acquires one or more question identifiers that will be used to determine the hiring conditions corresponding to the j-th strength information.

[0214] (Step S712) The strength acquisition means 13142 is the answer information that is paired with one or more question identifiers acquired in step S711, and the answer information of the member is acquired from the answer management unit 113.

[0215] (Step S713) The strength acquisition means 13142 acquires the recruitment conditions that correspond to the j-th strength information from the strength storage unit 116.

[0216] (Step S714) The strength acquisition method 13142 determines whether one or more answer pieces of information obtained in Step S712 meet the hiring criteria. If the hiring criteria are met, proceed to Step S715; otherwise, proceed to Step S716.

[0217] (Step S715) The strength acquisition means 13142 acquires the j-th strength information and stores the strength information in association with the member identifier of the member.

[0218] (Step S716) The determination means 1314 increments the counter j by 1. Return to step S710.

[0219] Next, an example of the target acquisition process in step S406 will be explained using the flowchart in Figure 8.

[0220] (Step S801) The target acquisition unit 132 assigns 1 to counter i.

[0221] (Step S802) The target acquisition unit 132 determines whether the i-th target condition exists in the target management unit 118. If the i-th target condition exists, the process proceeds to step S803; otherwise, it returns to the higher-level process.

[0222] (Step S803) The target acquisition unit 132 determines whether one or more type identifiers stored in a buffer (not shown) match the i-th target condition. If it matches the i-th target condition, the unit proceeds to step S804; otherwise, it proceeds to step S805.

[0223] (Step S804) The target acquisition unit 132 acquires target information corresponding to the i-th target condition from the target management unit 118 and temporarily stores it in a buffer (not shown).

[0224] (Step S805) The target acquisition unit 132 increments the counter i by 1. Return to step S802.

[0225] Next, an example of the organization prompt acquisition process in step S407 will be explained using the flowchart in Figure 9.

[0226] (Step S901) The prompt acquisition unit 133 acquires an organizational prompt template from the prompt template management unit 119.

[0227] (Step S902) The prompt acquisition unit 133 assigns 1 to counter i.

[0228] (Step S903) The prompt acquisition unit 133 determines whether the i-th variable exists in the organizational prompt template. If the i-th variable exists, the process proceeds to step S904; otherwise, it returns to the higher-level process.

[0229] (Step S904) The prompt acquisition unit 133 acquires information corresponding to the i-th variable. Such information is usually analysis results or target information.

[0230] (Step S905) The prompt acquisition unit 133 assigns the information acquired in step S904 to the i-th variable.

[0231] (Step S906) The prompt acquisition unit 133 increments counter i by 1. The process returns to step S903.

[0232] Next, an example of the individual score acquisition process in step S412 will be explained using the flowchart in Figure 10.

[0233] (Step S1001) The item score acquisition means 1311 assigns 1 to counter i.

[0234] (Step S1002) The item score acquisition means 1311 determines whether or not the item identifier for the i-th individual item exists in the member response information of the member of interest. If the item identifier for the i-th individual item exists, the process proceeds to step S1003; otherwise, the process proceeds to step S1009.

[0235] (Step S1003) The item score acquisition means 1311 acquires member satisfaction information that is paired with the item identifier of the i-th individual item in the member response information of the member of interest.

[0236] (Step S1004) The item score acquisition means 1311 acquires the expectation level information of the member of interest, which is paired with the item identifier of the i-th individual item in the member response information of the member of interest.

[0237] (Step S1005) The item score acquisition means 1311 uses the satisfaction information acquired in step S1003 and the expectation information acquired in step S1004 to acquire the item score of the i-th individual item of the member of interest. The item score acquisition means 1311 applies, for example, the satisfaction information and expectation information to the individual score table in the individual score table storage unit 114 to acquire the item score of the i-th individual item. The item score acquisition means 1311 then stores the acquired item score in the storage unit 11 or a buffer (not shown) in pairs with the item identifier of the i-th individual item.

[0238] (Step S1006) The item score acquisition means 1311 increments counter i by 1. Return to step S1002.

[0239] (Step S1007) The overall score acquisition means 1312 acquires all item scores for individual items from the storage unit 11 or a buffer (not shown). The item scores for individual items are the scores acquired in step S1005.

[0240] (Step S1008) The overall score acquisition means 1312 obtains the overall score for each individual item from all the item scores obtained in step S1007. For example, the overall score acquisition means 1312 calculates the average value of all the item scores obtained in step S1007 and obtains this average value as the overall score for each individual item.

[0241] (Step S1009) The overall score acquisition means 1312 acquires satisfaction information for all overall items contained in the member response information of the member concerned from the storage unit 11 or a buffer (not shown).

[0242] (Step S1010) The overall score acquisition means 1312 statistically processes the satisfaction information for all items obtained in step S1009 and calculates the overall statistical satisfaction information for the items. For example, the overall score acquisition means 1312 calculates the average value of the statistical satisfaction information for all items obtained in step S1009 and obtains it as the overall statistical satisfaction information for the items.

[0243] (Step S1011) The overall score acquisition means 1312 calculates a provisional overall score from the overall score of the individual items obtained in step S1008 and the statistical satisfaction information of the overall items obtained in step S1010. The overall score acquisition means 1312 calculates the provisional overall score using, for example, the calculation formula "Provisional overall score = α × statistical satisfaction information of the overall items + β × overall score of the individual items".

[0244] (Step S1012) The overall score acquisition means 1312 obtains correlation information regarding the correlation between the set of satisfaction information and the set of expectation information from the set of satisfaction information for all individual items and the set of expectation information for all individual items.

[0245] (Step S1013) The overall score acquisition means 1312 adjusts the provisional overall score obtained in step S1011 using the correlation information obtained in step S1012 and obtains the overall score. It returns to the higher-level processing. The overall score acquisition means 1312 obtains the overall score such that the greater the degree of correlation indicated by the correlation information, the higher the overall score.

[0246] Next, an example of the personal type determination process in step S413 will be explained using the flowchart in Figure 11.

[0247] (Step S1101) The decision means 1314 analyzes the individual weaknesses and strengths of the member. An example of such individual weakness and strength analysis process is explained using the flowchart in Figure 7.

[0248] (Step S1102) The type determination means 13143 assigns 1 to counter i.

[0249] (Step S1103) The type determination means 13143 determines whether the i-th type condition exists in the type management unit 117. If the i-th type condition exists, the process proceeds to step S1104; otherwise, the process returns to the higher level.

[0250] (Step S1104) The type determination means 13143 determines whether the one or more weakness information and / or one or more strength information obtained in step S1101 satisfy the i-th type condition. If the type condition is satisfied, proceed to step S1105; otherwise, proceed to step S1106.

[0251] (Step S1105) The type determination means 13143 obtains a type identifier paired with the i-th type condition from the type management unit 117 and stores it in a buffer (not shown).

[0252] (Step S1106) The type determination means 13143 increments counter i by 1. Return to step S1103.

[0253] Next, an example of the personal goal acquisition process in step S414 will be explained using the flowchart in Figure 12.

[0254] (Step S1201) The target acquisition unit 132 assigns 1 to counter i.

[0255] (Step S1202) The goal acquisition unit 132 determines whether the i-th individual goal condition exists in the goal management unit 118. If the i-th individual goal condition exists, the process proceeds to step S1203; otherwise, it returns to the higher-level process.

[0256] (Step S1203) The target acquisition unit 132 determines whether one or more type identifiers of the member stored in a buffer (not shown) match the i-th individual target condition. If it matches the i-th individual target condition, the unit proceeds to step S1204; otherwise, the unit proceeds to step S1205.

[0257] (Step S1204) The goal acquisition unit 132 acquires goal information from the goal management unit 118 that corresponds to the i-th individual goal condition.

[0258] (Step S1205) The target acquisition unit 132 increments the counter i by 1. Return to step S1202.

[0259] Next, an example of the personal prompt acquisition process in step S415 will be explained using the flowchart in Figure 13.

[0260] (Step S1301) The prompt acquisition unit 133 acquires a personal prompt template from the prompt template management unit 119.

[0261] (Step S1302) The prompt acquisition unit 133 assigns 1 to counter i.

[0262] (Step S1303) The prompt acquisition unit 133 determines whether the i-th variable exists in the personal prompt template. If the i-th variable exists, the process proceeds to step S1304; otherwise, it returns to the higher-level process.

[0263] (Step S1304) The prompt acquisition unit 133 acquires information corresponding to the i-th variable. This information is either the analysis result corresponding to the member or the target information corresponding to the member.

[0264] (Step S1305) The prompt acquisition unit 133 assigns the information acquired in step S1304 to the i-th variable.

[0265] (Step S1306) The prompt acquisition unit 133 increments counter i by 1. Return to step S1303.

[0266] The following describes a specific example of the operation of information system A in this embodiment.

[0267] The organizational management unit 110 of the response analysis device 1 stores "company industry / business type," "company size," and "company management policy keywords" paired with one or more organizational identifiers. "Company industry / business type" is information indicating a predefined industry category. "Company size" is the number of employees. The unit may also store analysis results at one or more points in time (e.g., overall score, item scores for one or more items, weakness information, strength information) paired with one or more organizational identifiers.

[0268] The Member Management Unit 111 stores the Member Management Table shown in Figure 14. The Member Management Table is a table for managing member information. The Member Management Table manages two or more records, each having an "ID," a "Member Identifier," and "Member Attribute Values." The "Member Attribute Values" include "Invariant Member Attribute Values" and "Variable Member Attribute Values." In this case, the "Invariant Member Attribute Values" are "Name" and "Gender." In this case, the "Variable Member Attribute Values" include "Age," "Organization Identifier," "Department Identifier," "Position," "Weakness Information," and "Strength Information." "Invariant Member Attribute Values" are attribute values ​​of members that do not normally change (only change in specific cases). "Variable Member Attribute Values" are attribute values ​​of members that can change. In this case, the "Organization Identifier" is the company name. In this case, the "Department Identifier" is the department name. Note that "Variable Member Attribute Values" may also include analysis results at one or more points in time (e.g., overall score, item scores for one or more items, weakness information, strength information, type).

[0269] Assume that the item information storage unit 112 stores the item information management table shown in Figure 15. The item information management table is a table that manages a large amount of item information, which represents the items of a questionnaire given to members of an organization (in this case, a company) (in this case, employees). The item information here includes "Item No.", "Type", "Factor", "Item", "Question: Expectation", and "Question: Satisfaction". "Item No." is an ID that identifies the item (can also be called a question), and is an example of an item identifier. "Type" is information that indicates the type of item, and here it can be either a general item or an individual item. "Factor" is a middle concept of the item, and can also be called the target. "Item" is information that indicates the content of the item. Note that "Item" can also be considered as an item identifier. "Question: Expectation" is a question for obtaining expectation information. "Question: Satisfaction" is a question for obtaining satisfaction information. Note that the item information management table can also be considered as an example of a questionnaire given to members of an organization.

[0270] The response management unit 113 stores, for example, organizational response information as shown in Figure 16. Figure 16 is organizational response information for an organization identified by the organizational identifier "Company A". Also, 1601 is member response information for one employee of the organization identified by the organizational identifier "Company A". The organizational response information for an organization identified by the organizational identifier "Company A" includes member response information for two or more employees. The member response information has a large number of records (63 or more) that have "item identifier", "expectation level information", and "satisfaction level information". Note that records for items with item identifiers 1 to 4 are records for general items and do not have expectation level information. The expectation level information and satisfaction level information that make up the member response information of 1601 are information obtained from the answers that the employee committee member gave to "Question: Expectation Level" and "Question: Satisfaction Level" in the item information management table shown in Figure 15. In this case, such answers are one of the natural numbers from 1 to 5. Also, in this case, if the expectation level information for "Question: Expectation Level" is 1, the expectation level is the lowest, and if it is 5, the expectation level is the highest. Furthermore, a satisfaction level of 1 for the "Question: Satisfaction Level" indicates the lowest satisfaction level, while a level of 5 indicates the highest satisfaction level. Additionally, the industry attribute value for the organization identified by the organization identifier "Company A" is assumed to be "Manufacturer".

[0271] The individual score table storage unit 114 stores the individual score table shown in Figure 17. The individual score table manages two or more records that have "expectation information," "satisfaction information," and "score." "Expectation information" is, for example, the average value of expectation information. "Expectation information" may also be, for example, information indicating the range of the average value of expectation information. The attribute values ​​of "expectation information," such as "expectation value 1," "expectation value 2," ... "expectation value N," are specific values ​​or range information. Also, "satisfaction information" is, for example, the average value of satisfaction information. "Satisfaction information" may also be, for example, information indicating the range of the average value of satisfaction information. The attribute values ​​of "satisfaction information," such as "satisfaction value 1," "satisfaction value 2," ... "satisfaction value N," are specific values ​​or range information. "Score" here refers to information indicating the item score. The attribute values ​​of "score," such as "score 1," "score 2," ... "score N," are specific values.

[0272] The weakness storage unit 115 stores a weakness management table shown in FIG. 18. The weakness management table is a table for managing weakness information. The weakness management table manages one or more records having "ID", "weakness information", and "adoption conditions". "ID" is information for identifying a record. "Weakness information" is information for specifying a weakness. "Weakness 1", "Weakness 2", "Weakness 3", etc. each indicate different weaknesses. For example, the weaknesses may be lack of "leadership", lack of "planning ability", lack of "creativity", lack of "cooperativeness", etc., but the content is not limited. "Adoption conditions" are conditions for adopting the corresponding "weakness information". "Adoption conditions" are conditions using the constituent member response information. Note that the weakness management table in FIG. 18 is information for determining the weaknesses of the constituent members. However, the weakness management table may also be information for determining the weaknesses of the organization.

[0273] The strength storage unit 116 stores a strength management table shown in FIG. 19. The strength management table is a table for managing strength information. The strength management table manages one or more records having "ID", "strength information", and "adoption conditions". "ID" is information for identifying a record. "Strength information" is information for specifying a strength. "Strength 1", "Strength 2", "Strength 3", etc. each indicate different strengths. For example, the strengths may be excellent "leadership", excellent "planning ability", excellent "creativity", excellent "cooperativeness", etc., but the content is not limited. "Adoption conditions" are conditions for adopting the corresponding "strength information". "Adoption conditions" are conditions using the constituent member response information. Note that the strength management table in FIG. 19 is information for determining the strengths of the constituent members. However, the strength management table may also be information for determining the strengths of the organization.

[0274] It is assumed that the type management unit 117 stores a type management table shown in FIG. 20. The type management table is a table for managing type information. The type management table manages one or more records having "ID", "type conditions", and "type information". Here, the "type information" has "type category", "type identifier", and "type description". The "type conditions" are, here, conditions based on one or two or more weakness information, conditions based on one or two or more strength information, and conditions based on one or two or more weakness information and one or two or more strength information. The "type category" is information for specifying the type and kind of the type, and here it is "symptom" or "direction". "Symptom" is a negative type, and "direction" is a positive type. The "type description" is information for explaining the details of the type identified by the type identifier.

[0275] It is assumed that the target management unit 118 stores a target management table shown in FIG. 21. The target management table is a table for managing target information. The target management table manages one or more records having "ID", "target conditions", and "target information".

[0276] The prompt template management unit 119 stores an organization prompt template shown in FIG. 22 and a personal prompt template shown in FIG. 23. In the prompt template, the character strings enclosed by "{" and "}" are variables. Analysis results or target information corresponding to the variables are substituted into the variables to form a prompt.

[0277] In the above situation, the response analysis device 1 outputs a video script by the process shown in FIG. 24.

[0278] That is, the analysis unit 131 of the response analysis device 1 analyzes the constituent member response information at two or more time points of two or more employees of "Company A" by the above-described process, and obtains the item scores of each employee, the overall score of each employee, the weakness information and strength information of each employee, the type of each employee, the item score of "Company A", the overall score of "Company A", and the weakness information and strength information of "Company A". Further, the target acquisition unit 132 obtains the target information of each employee and the target information of "Company A" by the above-described process.

[0279] The prompt acquisition unit 133 then acquires various analysis results from two or more points in time acquired by the analysis unit 131, target information acquired by the target acquisition unit 132, and department information from the organizational management unit 110. This information is shown as 2401 in Figure 24.

[0280] Furthermore, the prompt acquisition unit 133 acquires organizational attribute values ​​(such as "company industry / business type," "company size," and "company management policy keywords") from the organizational management unit 110. This information is shown as 2402 in Figure 24.

[0281] Furthermore, the prompt acquisition unit 133 acquires "general interpretations of strengths and weaknesses," "organizational characteristics for each industry and business type," and "A company's unique data" from the storage unit 11. This information is shown as 2403 in Figure 24.

[0282] Furthermore, the prompt acquisition unit 133 acquires an organizational prompt template (Figure 22) from the prompt template management unit 119.

[0283] Then, the prompt acquisition unit 133 inputs various analysis results, organizational attribute values, etc., into the organizational prompt template to construct the organizational prompt (2404 in Figure 24).

[0284] Next, the image acquisition unit 134 provides an organizational prompt (2404 in Figure 24) to the generating AI and obtains a video script from the generating AI. An example of such a video script is shown in Figure 25. Figure 25 includes information on two or more scenes corresponding to two or more analysis results (e.g., score, weakness information and strength information).

[0285] Furthermore, it is preferable for the image acquisition unit 134 to provide a video script (Figure 25) to a generation AI (for example, a generation AI different from the generation AI that output the video script) to generate images for each scene and acquire the images for each scene.

[0286] Next, the processing unit 13 configures tissue output information, which includes one or more acquired analysis results, target information, and images.

[0287] Next, the output unit 14 transmits the configured organizational output information to the terminal device 2.

[0288] Terminal device 2 then receives and outputs the organizational output information. An example of such organizational output information is shown in Figure 26. 2601 in Figure 26 shows Company A's overall score of "68.0". 2602 is the item score for each overall item. Here, the overall items are company, supervisor, work, and workplace. Furthermore, 2603 is a still image that constitutes a video composed of a video script. In the area where the video 2603 is output, as shown in Figure 27, the video composed using the scripts for each of the six scenes included in the video script (Figure 25) is output sequentially.

[0289] Furthermore, it is preferable that the organizational output information output by terminal device 2 also includes the analysis results shown in Figure 28. In Figure 28, column 2801 is the average value of the expectation information for each individual item. Column 2802 is the average value of the satisfaction information for each individual item. Column 2803 shows the influence level of each individual item. As can be seen from columns 2804 to 2806 in Figure 28, the output unit 14 outputs the influence level in association with each item so that the influence level classification can be visually distinguished. In other words, for example, the darkest background color is used when the influence level is 0.8 or higher, a normal background color is used when the influence level is 0.6 or higher but less than 0.8, and a light background color is used when the influence level is less than 0.6, thereby making the influence level classification visually distinguishable.

[0290] As described above, this embodiment makes it possible to communicate the results of a survey conducted among members of an organization in an easy-to-understand manner.

[0291] Furthermore, according to this embodiment, the results of two or more analyses of questionnaires given to members of an organization can be communicated in an easy-to-understand manner, for example, using videos.

[0292] In addition, according to the present embodiment, it is possible to clearly convey the analysis result of the questionnaire for two or more members of an organization and the analysis result for the organization.

[0293] Furthermore, according to the present embodiment, it is possible to clearly convey the transition of the analysis result of the questionnaire for the members of the organization.

[0294] Note that the processing in the present embodiment may be realized by software. And this software may be distributed by software download or the like. Also, this software may be recorded on a recording medium such as a CD-ROM and distributed. Note that this also applies to other embodiments in this specification. The software for realizing the response analysis device 1 in the present embodiment is the following program. That is, this program causes a computer to function as a response reception unit that receives one or more member response information including one or more response information associated with a member identifier for identifying a member of an organization and one or more response information associated with a question identifier for identifying a question, an analysis unit that analyzes the one or more member response information received by the response reception unit and obtains an analysis result, a prompt acquisition unit that obtains a prompt including the analysis result using the analysis result, an image acquisition unit that gives the prompt to a generation AI and obtains an image symbolizing the analysis result from the generation AI, and an output unit that outputs the analysis result and the image.

[0295] Also, FIG. 29 is a block diagram of a computer system 300 that executes the program described in this specification and realizes the response analysis device 1 and the like of the various embodiments described above.

[0296] In FIG. 29, the computer system 300 includes a computer 301 including a CD-ROM drive, a keyboard 302, a mouse 303, and a monitor 304.

[0297] In Figure 29, the computer 301 includes, in addition to the CD-ROM drive 3012, an MPU 3013, a bus 3014 connected to the CD-ROM drive 3012, a ROM 3015 for storing programs such as boot-up programs, a RAM 3016 connected to the MPU 3013 for temporarily storing application program instructions and providing temporary storage space, and a hard disk 3017 for storing application programs, system programs, and data. Although not shown here, the computer 301 may further include a network card for providing connectivity to a LAN.

[0298] The program that causes the computer system 300 to execute the functions of the response analysis device 1, etc., as described above, may be stored on CD-ROM 3101, inserted into CD-ROM drive 3012, and then transferred to hard disk 3017. Alternatively, the program may be transmitted to computer 301 via a network (not shown) and stored on hard disk 3017. The program is loaded into RAM 3016 during execution. The program may also be loaded directly from CD-ROM 3101 or the network.

[0299] The program does not necessarily have to include an operating system (OS) or third-party program that causes the computer 301 to execute functions such as the response analysis device 1 of the above-described embodiment. The program only needs to include the instruction portion that calls appropriate functions (modules) in a controlled manner to obtain the desired result. How the computer system 300 operates is well known, so a detailed explanation is omitted.

[0300] In the above program, steps such as sending information and receiving information do not include hardware-based processing, such as processing performed by a modem or interface card in the transmission step (processing that can only be performed by hardware).

[0301] Furthermore, the computer running the above program may be a single computer or multiple computers. In other words, it may perform centralized processing or distributed processing.

[0302] Furthermore, it goes without saying that in each of the above embodiments, two or more communication means present in a single device may be physically implemented in a single medium.

[0303] Furthermore, in each of the above embodiments, each process may be implemented by centralized processing by a single device, or by distributed processing by multiple devices.

[0304] It goes without saying that the present invention is not limited to the embodiments described above, and various modifications are possible, all of which are also included within the scope of the present invention. [Industrial applicability]

[0305] As described above, the response analysis device 1 according to the present invention has the effect of clearly communicating the analysis results of a questionnaire given to members of an organization, and is useful as a server or the like that provides the response analysis service for the questionnaire. [Explanation of Symbols]

[0306] A Information Systems 1 Answer analysis device 2 Terminal devices 3 Generation AI device 11 Storage Unit 12 Reception Department 13 Processing Unit 14 Output section 21 Terminal storage section 22 Terminal Reception Section 23 Terminal Processing Unit 24 Terminal transmission unit 25 Receiving part of the terminal 26 Terminal output section 110 Organization Management Department 111 Member Management Department 112 Item Information Storage Unit 113 Response Management Department 1114 Individual score sheet storage unit 115 Weakness Storage Unit 116 Strengths Storage Unit 117 Type Management Department 118 Target Management Department 119 Prompt Template Management Department 121 Response Reception Department 131 Analysis Department 132 Target acquisition part 133 Prompt Acquisition Section 134 Image acquisition unit 1311-item score acquisition method 1312 Method for obtaining overall score 1313 Influence degree acquisition means 1314 Decision-making method 13141 Methods for obtaining weaknesses 13142 Means of acquiring strengths 13143 Type determination means

Claims

1. A response receiving unit that receives one or more member response information, which includes one or more response information associated with a member identifier that identifies a member of an organization, and one or more response information associated with a question identifier that identifies a question, An analysis unit analyzes one or more member response information received by the response receiving unit and obtains the analysis results. A prompt acquisition unit that acquires a prompt containing the analysis results, An image acquisition unit provides the aforementioned prompt to a generating AI and acquires an image from the generating AI that symbolizes the analysis result. A response analysis device comprising an output unit that outputs the analysis results and the image.

2. The aforementioned analysis unit is Obtain two or more types of analysis results, The prompt acquisition unit, Obtain a prompt that includes the two or more analysis results mentioned above. The image acquisition unit, The response analysis device according to claim 1, which acquires images corresponding to the two or more types of analysis results.

3. The aforementioned image is a video, The image acquisition unit, The response analysis device according to claim 2, which acquires a single video by concatenating videos corresponding to the two or more analysis results mentioned above.

4. The aforementioned response reception department, We accept member response information from two or more members. The aforementioned analysis unit is The response analysis device according to claim 1, which analyzes two or more member response information received by the response receiving unit and obtains the analysis results of the organization to which the two or more members belong.

5. The system further comprises an organizational management unit that stores organizational information having one or more organizational attribute values, The prompt acquisition unit, The response analysis device according to claim 4, which acquires a prompt that also includes one or more organizational attribute values.

6. The aforementioned analysis unit is The aforementioned response receiving unit analyzes the response information from each member and obtains the analysis results for each member. The image acquisition unit, For each member, acquire the aforementioned image, The output unit is, The response analysis device according to claim 1, which outputs the analysis results and the image for each member.

7. The system further comprises a member management unit that stores member information having one or more member attribute values, The prompt acquisition unit, The response analysis device according to claim 6, which acquires a prompt that also includes the one or more constituent attribute values ​​mentioned above.

8. The system further comprises an organizational management unit which stores organizational information having one or more organizational attribute values ​​of the organization to which the aforementioned member belongs, The prompt acquisition unit, The response analysis device according to claim 6, which acquires a prompt that also includes one or more organizational attribute values.

9. The aforementioned analysis unit is Obtain the analysis results at two or more points in time, The prompt acquisition unit, The response analysis device according to claim 1, which acquires the prompt using the analysis results at each of the two or more time points.

10. The response analysis device according to claim 1, wherein one or more questions included in the one or more response pieces of information include a question asking about the degree of expectation for at least one item and a question asking about the level of satisfaction with that item.

11. A response analysis method comprising each step of the processing performed by the response analysis device described in any one of claims 1 to 10.

12. A program for executing the processing performed by the response analysis device described in any one of claims 1 to 10.

Images