Problem-solving support system, problem-solving support program, and problem-solving support method

Abstract

An object of the present invention is to provide a novel technology that accurately supports problem providers in solving their problems and further improves the benefits that problem providers can obtain. [Solution] In order to solve the above problems, the present invention provides a problem-solving support system that supports problem-solving by problem providers, the problem-solving support system comprising an index generation unit and a calculation unit, wherein the index generation unit generates a problem provider profit index that structurally organizes items for increasing the profit of the problem provider based on the problem provided by the problem provider, and the calculation unit calculates the problem provider profit that the problem provider will gain by providing the solution based on the problem provider profit index and the problem solver's solution information.

Description

[Technical Field]

[0001] The present invention relates to a problem-solving support system, a problem-solving support program, and a problem-solving support method. [Background technology]

[0002] Traditionally, companies have attempted to solve their problems and increase sales by implementing solutions proposed by other companies. However, currently, problems arise, such as the time it takes to consider implementing a solution and mismatches being discovered after the solution is actually implemented. An example of a technology that solves these problems is proposed in Patent Document 1, for example.

[0003] Patent Document 1 discloses that data (e.g., management KPIs) related to customer needs for business improvement, etc. are acquired, the values ​​of the management KPIs are converted into business KPI values, the values ​​of the business KPIs are made public as information on business issues, and solution proposals are solicited from providers. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-170425 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the invention described in Patent Document 1 accepts solution proposals from providers (problem solvers) using KPIs that serve as indicators of goal achievement, and can propose solutions that are suited to the KPIs of the customer (problem provider), but has the problem of not being able to accurately grasp the benefits that the customer will gain from the provision of the solution.

[0006] In view of the above circumstances, the present invention aims to provide a novel technology that accurately supports problem providers in solving their problems and further improves the benefits that problem providers can obtain. [Means for solving the problem]

[0007] In order to solve the above problems, the present invention provides a problem-solving support system that supports problem-solving by problem providers, the problem-solving support system comprising an index generation unit and a calculation unit, wherein the index generation unit generates a problem provider profit index that structurally organizes items for increasing the profit of the problem provider based on the problem provided by the problem provider, and the calculation unit calculates the problem provider profit that the problem provider will gain by providing the solution based on the problem provider profit index and the problem solver's solution information.

[0008] In addition, in order to solve the above problems, the present invention is a problem-solving support program that supports problem-solving by problem providers, wherein the problem-solving support program causes a computer to function as a calculation unit, and the index generation unit generates a problem provider profit index that structurally organizes items to increase the profit of the problem provider based on the problem provided by the problem provider, and the calculation unit calculates the problem provider profit that the problem provider will gain by providing the solution based on the problem provider profit index and the problem solver's solution information.

[0009] In addition, in order to solve the above problem, the present invention is a problem-solving support method that supports problem-solving by a problem provider, in which a computer executes the following processes: generating a problem provider profit index that structurally organizes items for increasing the profit of the problem provider based on the problem provided by the problem provider; and calculating the problem provider profit that the problem provider will gain by providing a solution based on the problem provider profit index and the problem solver's solution information.

[0010] With this configuration, problem solvers and problem providers are matched, and the profit that the problem provider can obtain from the solution provided by the problem solver can be calculated.

[0011] In a preferred embodiment of the present invention, the problem-solving support system further includes a deep dive question generation unit and an index generation unit, wherein the problem provider profit index has a hierarchical structure made up of a plurality of individual profit indexes, the deep dive question generation unit generates deep dive questions based on the individual profit indexes to generate individual profit indexes that are placed in a lower hierarchical layer than the individual profit indexes, the index generation unit generates the individual profit indexes based on answers to the deep dive questions, and the deep dive question generation unit determines whether or not numerical information for the individual profit indexes has been received as answers to the deep dive questions, and generates new deep dive questions.

[0012] By configuring it in this way, information for increasing profits that cannot be grasped from the assignments entered by the assignment provider alone can be extracted through questions, making it possible to more accurately match assignment providers with problem solvers.

[0013] In a preferred embodiment of the present invention, the problem-solving support system further includes a deep dive question generation unit and a unit conversion unit, wherein the deep dive question generation unit generates deep dive questions for generating new individual profit indicators based on the individual profit indicators that constitute the problem provider profit indicator, the indicator generation unit accepts input of numerical information as answers to the deep dive questions, and generates individual profit indicators associated with the numerical information, and the unit conversion unit accepts designation of the individual profit indicator, accepts solution profit information that indicates the profit to be obtained by providing a solution, and generates numerical information corresponding to the designated individual profit indicator and correction information for unifying the unit system of the accepted solution profit information.

[0014] By configuring it in this way, the units of the numbers obtained from the perspective of the problem provider and the problem solver are unified, making it easier to compare the benefits sought by the problem provider with the benefits achieved by the problem solver, and enabling more accurate matching of problem providers and problem solvers.

[0015] In a preferred form of the present invention, the problem-solving support system further comprises an in-depth question generation unit, an evaluation unit, and a display processing unit, wherein the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators that constitute the task provider profit indicator, the index generation unit accepts input of numerical information as answers to the in-depth questions, and generates individual profit indicators to which the numerical information corresponds by linking them to the task provider, the evaluation unit identifies a profit evaluation axis that indicates the evaluation axis of the individual profit indicator for the task provider based on the individual profit indicator and the attributes of the task provider linked to the individual profit indicator, and the display processing unit displays the individual profit indicator on a matrix having the profit evaluation axis based on the numerical information associated with the individual profit indicator.

[0016] This configuration allows the positioning of the generated individual profit indicators to be visually confirmed using an appropriate axis for each problem provider, and allows the problem solver to easily specify the individual profit indicator to which the solution will be proposed.

[0017] In a preferred embodiment of the present invention, the problem-solving support system further includes a display processing unit and an in-depth question generation unit, wherein the display processing unit displays common questions for the task provider, and the in-depth question generation unit acquires in-depth reference information based on the answers to the common questions, and generates in-depth questions for generating the task provider profit index based on the in-depth reference information and the task provided by the task provider.

[0018] This configuration allows for more accurate elicitation of the assignment provider's latent issues. Specifically, questions are generated that refer to past cases and use the in-depth reference information corresponding to the assignment provider's answer as an example, allowing for in-depth analysis of the appropriate issues for each assignment provider.

[0019] In a preferred form of the present invention, the problem-solving support system further includes a solution question generation unit, wherein the problem provider profit index is composed of a plurality of individual profit indexes, the solution question generation unit generates and processes solution questions regarding solutions corresponding to the individual customer profit indexes, and the calculation unit accepts answers to the solution questions as the solution information and calculates the problem provider profit for each individual profit index.

[0020] With this configuration, potential solution information that the problem solver does not know can be extracted, and the profit that the problem provider will gain can be calculated more accurately.

[0021] In a preferred form of the present invention, the problem-solving support system further includes a solution question generation unit and a proposal generation unit, wherein the problem provider profit index is composed of a plurality of individual profit indexes, the solution question generation unit generates solution questions related to solutions corresponding to the individual profit indexes, and the proposal generation unit accepts answers to the solution questions as the solution information and generates proposal materials to be proposed to the problem provider based on a combination of the individual profit indexes and the answers corresponding to the individual profit indexes.

[0022] With this configuration, problem solvers can generate proposal materials simply by answering solution questions. Furthermore, the proposal materials display solutions that solve each problem that the problem provider faces, making the materials more persuasive.

[0023] In a preferred embodiment of the present invention, the problem solving support system further comprises a probing question generation unit, an evaluation unit, a proposal generation unit, and a display processing unit, wherein the probing question generation unit generates probing questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator, the indicator generation unit receives input of numerical information as answers to the probing questions, and generates individual profit indicators associated with the numerical information by linking them to the task provider, and the evaluation unit evaluates the individual profit indicators and attributes of the task provider linked to the individual profit indicators. Based on the above, a profit evaluation axis indicating the evaluation axis of the individual profit index for the problem provider is identified, the proposal generation unit accepts the specification of the individual profit index and the solution information, and generates a proposal material linked to the individual profit index based on the individual profit index and the solution information, and the display processing unit displays the proposal material or the problem solver corresponding to the proposal material by arranging it on a two-dimensional plane having as its axis the profit evaluation axis corresponding to the individual profit index to which the proposal material is linked, according to numerical information based on the proposal material.

[0024] This configuration allows each problem provider to visually confirm the positioning of the proposed proposal materials against individual profit indicators using an axis appropriate for that problem provider, and allows the problem provider to easily specify the solution to be introduced.

[0025] In a preferred embodiment of the present invention, the problem-solving support system further comprises an in-depth question generation unit, an index generation unit, and a display processing unit, wherein the in-depth question generation unit generates and processes in-depth questions for generating the problem provider profit index, the index generation unit generates and processes the problem provider profit index based on answers to the in-depth questions, and the display processing unit displays a display unit that displays the generated in-depth questions, an answer receiving unit that receives the answers, and an index display unit that displays the generated problem provider profit index, all side by side on the same screen.

[0026] With this configuration, the task provider can answer the questions while looking at them, and can operate the screen while simultaneously looking at the task provider profit index generated based on the answers, making it possible to generate the task provider profit index efficiently. For example, if an incorrect task provider profit index is generated, the user can immediately notice and deal with the problem. [Effects of the Invention]

[0027] The present invention can provide a novel technique that accurately supports problem providers in solving their problems and further improves the benefits that problem providers can obtain. [Brief explanation of the drawings]

[0028] [Figure 1] 1 is a block diagram showing a system configuration according to an embodiment of the present invention; [Figure 2] 1 is a block diagram showing a hardware configuration of a system according to an embodiment of the present invention. [Figure 3] FIG. 1 is a block diagram showing a functional configuration according to an embodiment of the present invention. [Figure 4] 1 is an example of a processing flowchart according to an embodiment of the present invention. [Figure 5] 1 is an example of a specific processing flowchart according to an embodiment of the present invention. [Figure 6] 10 is an example of a display screen generated in an embodiment of the present invention. [Figure 7] 1 is an example of a specific processing flowchart according to an embodiment of the present invention. [Figure 8] 10 is an example of a matrix table of detailed end-user individual profit indicators in one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The present invention will be described in more detail below with reference to the accompanying drawings, in which preferred embodiments are shown, but which may be embodied in many different forms and are not limited to the embodiments set forth herein.

[0030] For example, although the configuration, operation, etc. of the problem-solving support system are described in this embodiment, similar effects can be achieved by the executed method, device, computer program, etc. Furthermore, the program may be stored on a recording medium. Using this recording medium, the program can be installed on a computer, for example, thereby configuring a problem-solving support device or a problem-solving support system. Here, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.

[0031] <1. Overview of the present invention> The present invention relates to a system that supports problem solvers in solving their problems by matching problem solvers with problem solvers. The present invention generates a problem solver profit index, including items (hereinafter referred to as individual profit indexes) ranging from the general outline to the details required to solve the problem and increase profits, by inputting the problem solved by the problem solver (hereinafter referred to as the "provision problem") into a problem analysis means. Furthermore, if the granularity of the information required to increase profits (hereinafter referred to as the "indicator granularity") indicated by the individual profit index included in the generated problem solver profit index is insufficient, the present invention generates questions (hereinafter referred to as "deep dive questions") to generate individual profit indexes with higher indicator granularity. Answers to the deep dive questions are then received from the problem solver. The system generates multiple individual profit indexes in stages by repeatedly generating deep dive questions in response to the problem solver's answers and receiving answers to the questions until the system obtains the answers required to generate new individual profit indexes with higher indicator granularity. The system then generates a problem solver profit index by structurally organizing the items required to increase the problem solver's profits.

[0032] Furthermore, the present invention accepts from the problem solver the specification of the generated individual profit index, and accepts from the problem solver the input of solution information relating to the solution provided by the problem solver for the individual profit index. Then, for each individual profit index, the profit obtained by the problem provider from the solution profit information included in the solution information of the problem solver (hereinafter referred to as the problem provider profit) is calculated.

[0033] Furthermore, the present invention generates proposal materials for the problem solver to present to the problem provider, based on the solution information and individual profit indicators, including the benefit (cost-effectiveness) of the problem provider obtained by providing the solution from the problem solver. Then, when predetermined approval conditions for confirming the authenticity of the generated proposal materials are met, the proposal materials of multiple problem solvers and the problem provider's benefit are displayed side by side for comparison to the problem provider. Then, the problem provider selects a solution to implement from the presented proposal materials, thereby achieving a match between the problem provider and the problem solver.

[0034] In this embodiment, the provided assignment is an assignment related to the management of the company of the assignment provider, and is input to the assignment analysis means as text data in natural language format. Note that the provided assignment may also be input to the assignment analysis means as text data written in a specific format such as CSV format.

[0035] Furthermore, the task provider profit indicators are organized in a hierarchical structure (tree structure) in which the more granular the indicators (individual profit indicators) for increasing the task provider's profits are placed in lower layers. The relationships between data are explicitly described through this structure, and the data are organized so that they can be easily viewed. Here, individual profit indicators include quantitative and qualitative items, with quantitative items placed at the bottom of the tree structure and qualitative items placed at other levels. For example, in descending order of granularity, the indicators are: objectives, key performance indicators (KGIs), strategic categories (major policies for achieving results), measures (actual areas of effort for the policies), specific actions (feasible individual measures), and costs (e.g., money, time, manpower) and benefits (expenses, time, manpower) resulting from the specific actions. The objectives, performance indicators, strategic categories, measures, and specific actions are qualitative items, while the costs and benefits resulting from the specific actions are quantitative items. In the following, individual profit indicators that include numerical information such as "costs and profits resulting from specific actions" will be referred to as detailed end-level individual profit indicators, and individual profit indicators with the highest level of granularity that do not include specific numerical information such as "specific actions" will be referred to as abstract end-level individual profit indicators.

[0036] On the other hand, the task provider profit index may be structurally organized by classifying the individual profit indexes, or by prioritizing the individual profit indexes. Note that the following describes a case where the task provider profit index is structurally organized by configuring the individual profit indexes in a hierarchical structure.

[0037] Furthermore, each individual profit index is an index for improving ROI (Return On Investment) (so-called return on investment) (for example, indexes including predetermined items such as "cost reduction," "profit increase," and "labor cost reduction"), and the problem analysis means is trained to generate these indexes. Note that the task provider profit index may be any index related to the improvement of task provider profits, and for example, an index for improving ROIC (Return On Invested Capital), an index for improving ROAS (Return On Advertising Spend), etc. may be used.

[0038] The problem analysis means is an AI agent, which is a neural network model pre-trained using a large amount of text, voice, and numerical data, and is an inference engine that generates related output data (deep-dive questions, task provider profit tree, task provider profit, etc.) based on input natural language text or voice. It also has a self-feedback mechanism that reuses the generated output as its own input and iteratively corrects and updates the inference results as needed. The AI ​​agent in this embodiment generates text such as deep-dive questions, task provider profit indicators, and task provider profits as output data in response to input natural language text data or voice data, but may also generate output including text data written in a specific format such as JSON, CSV, or script code.

[0039] The AI ​​agent in this embodiment is a generative neural network pre-trained for natural language tasks, and a representative example is a GPT (Generative Pre-trained Transformer) model, but the parameter scale and network configuration are not limited. For example, it may be a hybrid model that uses a Transformer as its core and supplementarily combines a convolutional neural network (CNN) and a recurrent neural network (LSTM, GRU, etc.).

[0040] Furthermore, as the problem analysis means, in addition to or instead of the AI ​​agent, a correspondence table that statistically associates input data with output data may be used.

[0041] Furthermore, in this embodiment, the problem provider and the problem solver belong to different companies, but they may also belong to the same company.

[0042] <2. Configuration of the present invention> Hereinafter, the system configuration, hardware configuration, and functional configuration according to one embodiment of the present invention will be described with reference to FIGS.

[0043] 2.1. System Configuration Fig. 1 is a block diagram showing the configuration of a system according to one embodiment. As shown in Fig. 1, a problem solving support system 0 includes a problem solving support device 1, a problem provider terminal device 3, and a problem solver terminal device 4, and is configured to be able to communicate via a communication network NW. In this embodiment, the communication network NW is an IP (Internet Protocol) network, but there are no restrictions on the type of communication protocol, and there are also no restrictions on the type or scale of the network.

[0044] A general-purpose server computer or a personal computer can be used as the problem solving support device 1. Furthermore, a smartphone, tablet terminal, personal computer, wearable device, etc. can be used as the problem provider terminal device 3 and the problem solver terminal device 4. Furthermore, the problem solving support device 1 may be configured from multiple computers that are capable of sending and receiving information via a communication network NW or another network.

[0045] 2.2. Hardware Configuration 2 is a block diagram showing the hardware configuration of the problem solving support system 0. As shown in FIG. 2(a), the server 10 (problem solving support device 1) includes a processing unit 101, a storage unit 102, and a communication unit 103.

[0046] The processing unit 101 has one or more processors such as a CPU that can execute an instruction set, and controls the overall operation and processing of the problem solving support device 1 by executing the problem solving support program according to the present invention, an OS, and other applications. The storage unit 102 has a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS and the problem solving support program according to the present invention. The communication unit 103 has a communication interface device with the communication network NW, and controls communication with the communication network NW to input and output information.

[0047] As shown in FIG. 2( b ), the terminal device 9 (problem provider terminal device 3 and problem solver terminal device 4 ) includes a processing unit 91 , a storage unit 92 , a communication unit 93 , an input unit 94 , and a display unit 95 .

[0048] The processing unit 91 has one or more processors such as a CPU that can execute an instruction set, and controls the overall operation and processing of the terminal device 9 by executing an OS and other applications. The storage unit 92 includes a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS and the like. The communication unit 93 has a communication interface device for connecting to a network, and controls communication with the communication network NW to input and output information. The input unit 94 has an input device capable of input processing, such as a keyboard or a touch panel. The display unit 95 has a display device capable of display processing such as a display.

[0049] <2.3. System Functional Configuration> Fig. 3 is a block diagram showing the functional configuration of the problem solving support device 1. As shown in Fig. 3, the problem solving support device 1 includes an in-depth question generation unit 11, an index generation unit 12, a solution reception unit 13, a calculation unit 14, a proposal generation unit 15, a unit conversion unit 16, an approval unit 17, an evaluation unit 18, a display processing unit 19, and a database 2. This is a specific implementation of the problem solving support program stored in the storage unit 102 by the processing unit 101.

[0050] The system configuration in this embodiment is a server-client type in which the problem provider terminal device 3 and problem solver terminal device 4 (clients) receive the results of processing performed by the problem solving support device 1 (server) in response to requests from the clients. Alternatively, the problem provider terminal device 3 and problem solver terminal device 4 may be used via a client terminal running a problem solving support program. In this case, the problem provider terminal device 3 and problem solver terminal device 4 may include some or all of the functional components (units) included in the problem solving support device 1. For example, the problem provider terminal device 3 may include an in-depth question generation unit 11, an index generation unit 12, a display processing unit 19, etc.; the problem solver terminal device 4 may include a solution reception unit 13, a calculation unit 14, a proposal generation unit 15, a unit conversion unit 16, an approval unit 17, an evaluation unit 18, a display processing unit 19, etc.; and the problem solving support device 1 may be a cloud storage device that stores information such as the in-depth reference information described below.

[0051] <2.3.1. Database 2> The database 2 stores in-depth reference information. The in-depth reference information is information that is referenced to generate in-depth questions. The in-depth reference information includes a case ID for uniquely identifying the in-depth reference information, and natural language text data including information related to the industry, the problem content, and profit improvement. All of this information may be stored in the storage unit 102, or some or all of it may be stored in the storage unit 92.

[0052] <2.3.2. Deep Question Generation Unit 11> The deep dig question generation unit 11 generates and processes deep dig questions based on the provided task. The deep dig question generation unit 11 generates and processes deep dig questions for generating individual profit indicators that are placed in a lower tier than the individual profit indicators, based on the individual profit indicators. Specifically, the deep dig question generation unit 11 generates and processes deep dig questions for generating second individual profit indicators that have higher index granularity than the index granularity of a first individual profit indicator generated based on the provided task.

[0053] More specifically, the deep dive question generator 11 generates new deep dive questions based on the answers to the deep dive questions. In this embodiment, an individual profit index is generated based on the deep dive questions, and the deep dive question generator 11 generates second deep dive questions based on the index granularity of the individual profit index generated in accordance with the answers to the first deep dive questions and the answers to the first deep dive questions.

[0054] Furthermore, the deep dive question generation unit 11 acquires deep dive reference information to be referenced in order to improve the accuracy of the process of generating deep dive questions, and generates the deep dive questions. Before generating deep dive questions based on the provided tasks and the answers of customers, the deep dive question generation unit 11 receives answers from task providers to common questions that are questions commonly presented to task providers, acquires deep dive reference information based on the answers, and generates deep dive questions based on the deep dive reference information and the provided tasks.

[0055] <2.3.3.Indicator generation unit 12> The index generation unit 12 generates a task provider profit index based on the provided task. The index generation unit 12 inputs the natural language of the provided task into the AI ​​agent, and generates a task provider profit index having a hierarchical structure.

[0056] The index generating unit 12 also generates task provider profit indexes based on the answers to the probing questions. The index generating unit 12 generates higher-level individual profit indexes that are placed in a relatively higher hierarchy in the hierarchy of task provider profit indexes (hereinafter referred to as the index hierarchy) based on the answers to the probing questions, and generates lower-level individual profit indexes in the index hierarchy under the higher-level individual profit index based on answers to new probing questions that are generated based on the answers to the probing questions.

[0057] In addition, a lower-level individual profit indicator in an indicator hierarchy under a higher-level individual profit indicator may be a lower-level individual profit indicator in an indicator hierarchy immediately below the higher-level individual profit indicator, or a lower-level individual profit indicator in a hierarchy lower than the indicator hierarchy immediately below the higher-level individual profit indicator.

[0058] <2.3.4. Solution Reception Section 13> The solution receiving unit 13 receives information about a solution provided by a problem solver (hereinafter referred to as solution information). The solution receiving unit 13 receives a designation of an individual profit index linked to the problem provider to whom the solution is to be provided, and further receives the solution information.

[0059] <2.3.5. Calculation Unit 14> The calculation unit 14 calculates the task provider profit. The calculation unit 14 accepts the specification of an individual profit index linked to the task provider to whom the solution is provided, and calculates the task provider profit based on the individual profit index and solution information.

[0060] In another embodiment, the calculation unit 14 calculates the task provider's profit based on the answer to the solution question. The calculation unit 14 calculates the task provider's profit based on the individual profit index and the answer to the solution question generated in association with the individual profit index.

[0061] <2.3.6. Proposal generation section 15> The proposal generation unit 15 generates proposal materials to be presented to the task provider. The proposal generation unit 15 generates proposal materials based on individual profit indicators linked to the task provider to whom the solution is to be provided, and solution information.

[0062] In another embodiment, the proposal generation unit 15 generates proposal materials based on answers to solution questions. The proposal generation unit 15 generates proposal materials based on individual profit indicators linked to the problem provider to whom the solution is to be provided and answers to the solution questions generated in association with the individual profit indicators.

[0063] <2.3.7. Unit conversion section 16> The unit conversion unit 16 converts the unit systems of the solution profit information and the individual profit index. The unit conversion unit 16 generates correction information for unifying the unit systems of the solution profit information and the individual profit index, and converts the units of the task provider profit index and the solution information to be unified based on the correction information.

[0064] <2.3.8. Approval Section 17> The approval unit 17 executes approval processing for the generated proposal material. The approval unit 17 accepts approval for the generated proposal material, and if predetermined approval conditions are met, passes the proposal material and an instruction to display the proposal material to the display processing unit 19.

[0065] <2.3.9. Evaluation section 18> The evaluation unit 18 calculates a numerical value on the profit evaluation axis for each individual profit index. The evaluation unit 18 inputs the generated multiple individual profit indexes into the AI ​​agent, and calculates a numerical value on the profit evaluation axis for each of the individual profit indexes.

[0066] Here, the profit evaluation axis is an axis that indicates the priority and importance for increasing the profit of the problem provider, and uses, for example, feasibility, cost-effectiveness based on numerical information of detailed end-user individual profit indicators, urgency, reduced labor hours, investment amount, time to realization, etc. The profit evaluation axis is specified according to the problem provider attributes, and the problem provider attributes are data related to the work content of the problem provider, such as the problem provider's industry, job position (field staff, manager, etc.), etc.

[0067] <2.3.10. Display Processing Unit 19> The display processing unit 19 performs display processing for a screen for generating a problem provider profit index, a screen for displaying the generated proposal materials, etc., and causes the display processing results to be displayed on the problem provider terminal device 3. The display processing unit 19 also performs display processing for a screen for displaying the generated problem provider profit index, a screen for accepting answers to solution questions, a screen for accepting approval of the generated proposal materials, etc., and causes the display processing results to be displayed on the problem solver terminal device 4.

[0068] <3. Processing flowchart of problem-solving support method> 4 to 8, a problem solving support method using the problem solving support system 0 will be described. Fig. 4 is a flowchart showing the processing in which the problem solving support device 1 displays a plurality of in-depth questions to the problem provider, generates a problem provider profit index based on the answers to the in-depth questions, calculates the problem provider profit by accepting solution information from the problem solver based on the problem provider profit index, generates a proposal material, and displays the proposal material and the problem provider profit to the problem provider when predetermined approval conditions are met.

[0069] <3.1. Acceptance of answers to common questions> 4 (hereinafter, "step SX" will be simply referred to as "SX"), the in-depth question generator 11 accepts answers to the common questions. In this embodiment, the display processor 19 performs display processing on a predetermined number (e.g., five) of common questions that have been registered in advance in the database 2, and causes the display processing results to be displayed on the assignment provider terminal device 3.

[0070] The in-depth question generation unit 11 then receives input of task provider attributes as answers to each common question via the task provider terminal device 3. Here, the task provider attributes are attributes related to the task provider's business, and may include the task provider industry indicating the task provider's business area, the task provider industry indicating the task provider's business content, the task provider's corporate culture, corporate philosophy, number of employees, capital, etc. Furthermore, examples of task provider industries that may be used include finance, construction, human resources, insurance, medical care, contact centers, energy, manufacturing, etc.

[0071] <3.2. Generation of issue provider profit index> In S2, the index generation unit 12 generates a task provider profit index. In this embodiment, the task provider terminal device 3 accepts input of a task provided by the task provider, and the index generation unit 12 inputs the received task to the AI ​​agent, thereby generating a task provider profit index. Specifically, the index generation unit 12 works in cooperation with the in-depth question generation unit 11 to generate individual profit indexes until numerical information is received for the abstract end-level individual profit index.

[0072] 5 is a specific processing flowchart for generating a task provider profit index through cooperation between the in-depth question generation unit 11 and the index generation unit 12. Note that the following flowchart describes a case where at least one detailed end-level individual profit index is generated, but there is no limit to the number of detailed end-level individual profit indexes that can be generated.

[0073] <3.2.1. Generation of issue provider benefit index> 5, the index generation unit 12 generates a task provider profit index based on the provided task. In this embodiment, the index generation unit 12 inputs the provided task to the AI ​​agent, identifies words corresponding to individual profit indexes from words included in the natural language (text data or voice data) of the provided task, and generates a task provider profit index in which the individual profit indexes corresponding to the words are arranged in an index hierarchy according to the index granularity of the words.

[0074] <3.2.2. Deep Question Generation Process> 5, the deep dive question generation unit 11 accepts the specification of an individual profit index for generating a detailed end-level individual profit index from among the generated individual profit indexes. In this embodiment, among the multiple individual profit indexes of the task provider profit index generated in S201, the individual profit index located at the bottom layer that is not a detailed end-level individual profit index is displayed so as to be specifiable, and the deep dive question generation unit 11 accepts the specification of an individual profit index for receiving numerical information from these displayed individual profit indexes and generating a detailed end-level individual profit index.

[0075] In S203, the deep dive question generator 11 generates a deep dive question. In this embodiment, the deep dive question generator 11 acquires deep dive reference information based on the answer (task provider attributes) to the common question received in S1, and inputs the deep dive reference information and the individual profit index specified in S202 to the AI ​​agent to generate a deep dive question (so-called few-shot learning).

[0076] Specifically, the deep dive question generator 11 uses the acquired deep dive reference information as an example prompt and inputs the acquired deep dive reference information and the specified individual profit index into the AI ​​agent, thereby generating a deep dive question for generating an individual profit index with a higher index granularity than the index granularity. The display processor 19 then displays the generated deep dive question and causes it to be displayed on the assignment provider terminal device 3.

[0077] <3.2.3. Acceptance of answers to in-depth questions> 5, the in-depth question generation unit 11 receives an answer to the in-depth question generated in S203 via the task provider terminal device 3. Then, in S205, the in-depth question generation unit 11 inputs the answer received in S204 to the AI ​​agent, and if an individual profit index cannot be generated based on the answer (NO in S205), the process proceeds to S206, and if an individual profit index can be generated based on the answer (YES in S205), the process proceeds to S207. In other words, if the answer necessary to generate an individual profit index is not obtained, the individual profit index is not generated and the process proceeds to S206, where a new in-depth question is generated to generate an individual profit index having a higher index granularity than the index granularity of the individual profit index specified in S202.

[0078] In S206, the in-depth question generation unit 11 generates a new in-depth question based on the answer to the immediately preceding in-depth question. In this embodiment, the in-depth question generation unit 11 generates a new in-depth question by inputting the answer to the in-depth question received in S204 into the AI ​​agent. The display processing unit 19 then displays the generated new in-depth question and causes it to be displayed on the assignment provider terminal device 3.

[0079] FIG. 6 shows an example of a display of an assignment provider screen displaying assignment provider profit indicators and probing questions generated in response to the input of an assignment. The assignment provider screen W1 includes an assignment input field W11, a profit indicator display section W12, a profit indicator selection section W13, and a response receiving section W14. In this embodiment, the assignment provider profit indicators are displayed in the profit indicator display section W12, with the individual profit indicators arranged in descending order of indicator granularity based on the individual profit indicators generated based on the wording of the assignment entered in the assignment input field W11 and the indicator granularity of the individual profit indicators. Each individual profit indicator displays the wording of the assignment used to generate the indicator as information identifying the indicator (e.g., node name). The profit indicator selection section W13 then selectably displays the individual profit indicator at the lowest level that is not a detailed end-level individual profit indicator among the multiple individual profit indicators included in the assignment provider profit indicator. The response receiving section W14 displays the probing questions generated for the individual profit indicator selected in the profit indicator selection section W13.

[0080] <3.2.4. Generation process of individual profit index> 5, the index generation unit 12 generates an individual profit index. In this embodiment, the index generation unit 12 inputs the answer to the probing question received in S204 to the AI ​​agent, and generates an individual profit index based on the answer. Specifically, the index generation unit 12 inputs natural language including items (individual profit indexes) for increasing profits input as the answer to the probing question to the AI ​​agent, generates individual profit indexes based on words corresponding to the individual profit indexes, and identifies the index granularity based on the words of the individual profit indexes.

[0081] In S208, the deep dive question generation unit 11 determines whether an abstract end individual profit index has been generated. In this embodiment, the deep dive question generation unit 11 determines whether the individual profit index generated in S207 is an abstract end individual profit index, and if it is (YES in S208), proceeds to S209. On the other hand, if the generated individual profit index is not an abstract end individual profit index (NO in S208), proceeds to S206. The processing in S206 is as described above, so it will be omitted.

[0082] <3.2.5. Receipt of numerical information> In S209, the probing question generator 11 determines whether input of numerical information for the abstract end individual profit index has been received. If input of numerical information for the abstract end individual profit index has been received from the task provider (YES in S209), the process proceeds to S3 in FIG. 4. On the other hand, if input of numerical information for the abstract end individual profit index has not been received (NO in S209), the probing question generator 11 inputs the abstract end individual profit index to the AI ​​agent in S210 and generates a numerical question to obtain numerical information for the abstract end individual profit index. For example, a numerical question regarding the specific costs and benefits of implementing a specific action for the abstract end individual profit index is generated. Here, the numerical information inputted includes the costs (amount, time, manpower, etc.) and benefits (expenses, time, manpower, etc.) incurred by the specific action (feasible individual measure), as well as the urgency and priority of the specific action.

[0083] In S211, the index generating unit 12 generates a detailed end-level individual profit index based on the answers (numerical information) to the numerical questions received for the generated abstract end-level individual profit index and the abstract end-level individual profit index. Specifically, the index generating unit 12 calculates an ROI (cost-effectiveness) which is the ratio of the profit to the cost based on the cost and profit of the numerical information received for the generated abstract end-level individual profit index, and generates a detailed end-level individual profit index which links the ROI and the urgency and priority of the specific action to the abstract end-level individual profit index.

[0084] In this embodiment, the index generation unit 12 inputs the numerical information received for the abstract end-level individual profit index and the abstract end-level individual profit index into the AI ​​agent to generate a detailed end-level individual profit index, but it is also possible to link the numerical information received for the abstract end-level individual profit index to the abstract end-level individual profit index and register it without inputting it into the AI ​​agent.

[0085] In a preferred embodiment of the present invention, an AI agent is set up to generate in-depth questions for each task provider attribute (e.g., task provider industry, etc.), and the in-depth question generation unit 11 may generate in-depth questions by inputting the provided task and answers to the in-depth questions to the AI ​​agent linked to the task provider attribute input in S1.

[0086] Furthermore, in a preferred embodiment of the present invention, the deep dive question generation unit 11 updates deep dive questions based on the multiple deep dive questions generated for generating one task provider profit index. Specifically, when the deep dive question generated immediately before for generating one task provider profit index has the same content as a deep dive question generated in the past, the deep dive question generation unit 11 generates a new deep dive question in place of the immediately before generated deep dive question.

[0087] In another embodiment of the present invention, the deep dive question generator 11 determines whether a detailed end-level individual profit index has been generated, and generates a deep dive question. If it determines that a detailed end-level individual profit index has been generated in the generated task provider profit index, the process proceeds to S3 in FIG.

[0088] On the other hand, if the deep dive question generation unit 11 determines that a detailed end-level individual profit index has not been generated, it identifies the index granularity of the individual profit index placed at the bottom level of the generated task provider profit index.The deep dive question generation unit 11 then acquires deep dive reference information based on the answer (task provider attribute) to the common question received in S1, and inputs the deep dive reference information and the index granularity of the identified individual profit index into the AI ​​agent to generate a deep dive question.The index generation unit 12 and the deep dive question generation unit 11 then cooperate to repeat the process of generating a deep dive question, the process of accepting an answer, and the process of generating an individual profit index until a detailed end-level individual profit index is generated.

[0089] In another embodiment of the present invention, more preferably, an index priority is set for each individual profit index for each task provider attribute, and the deep dive question generation unit 11 may further use the index priority to generate deep dive questions based on the provided task and deep dive questions based on the answers to the deep dive questions. That is, an in-depth question is generated so that a task provider profit index that is prioritized for each task provider attribute obtained by the common question is generated.

[0090] As described above, by executing S201 to S211, a task provider profit index that clarifies the profit that can be obtained by solving the task provided by the task provider is generated for each task provider, and the processing from S3 onwards is executed.

[0091] <3.3. Receiving solution information> 4, the solution receiving unit 13 receives solution information. In this embodiment, the problem solver terminal device 4 receives from the problem solver a designation of a problem provider to whom the solution is to be provided, further receives designation of a detailed end-level individual profit index from among multiple individual profit indexes included in the problem provider profit index linked to the designated problem provider, and receives solution information including solution profit information and solution qualitative information. This provides a mechanism that allows the problem provider to select the highest priority indicator when multiple detailed end-user individual profit indicators are generated and consider introducing a solution.

[0092] Here, the solution profit information is information indicating the profits that can be obtained by providing a solution, and includes, for example, at least a combination of the cost of introducing the solution and the sales increase that can be obtained by the introduction, and preferably includes a combination of the cost of introducing the solution and the sales increase (revenue) that can be obtained by the introduction for each individual profit indicator.

[0093] Furthermore, the solution qualitative information is information indicating the matters that the problem solver places importance on, and includes, for example, quality, organizational culture, social contribution, brand value, and the like.

[0094] In a preferred embodiment of the present invention, the solution receiving unit 13 includes a solution question generating unit (not shown), which generates a solution question for extracting solution benefit information based on the received solution information. Figure 7 is a specific processing flowchart from the generation of a solution question to the reception of solution benefit information.

[0095] <3.3.1. Solution question generation process> In S301 of Figure 7, the solution question generation unit generates a solution question. In this embodiment, the solution question generation unit receives a specification of a detailed end-user individual profit index from among multiple individual profit indexes included in the task provider profit index linked to the task provider designated as the solution recipient, as well as solution information, and inputs the detailed end-user individual profit index and the solution information to an AI agent to generate a solution question for extracting solution profit information corresponding to the detailed end-user individual profit index from the received solution information. For example, a solution question such as "In order to solve the specified detailed end-user individual profit index, how much will it cost to implement your solution, and how much cost reduction and sales increase are expected?" is generated according to the detailed end-user individual profit index.

[0096] <3.3.2. Acceptance of answers to solution questions> In S302, the solution question generation unit receives an answer to the solution question generated in S301 (hereinafter, solution answer) via the problem solver terminal device 4. In S303, the solution question generation unit determines whether or not solution profit information has been received from the problem solver for the detailed end-user individual profit indicator specified in S301. If the solution profit information has not been received in the solution answer received in S302 (NO in S303), the solution question generation unit inputs the solution answer received in S302 into the AI ​​agent, thereby generating a new solution question for receiving the solution profit information (S304). On the other hand, if the solution profit information has been received (YES in S303), the process proceeds to S4 in FIG. 4. In other words, by repeatedly asking questions about the solution information provided by the problem solver, solution profit information is extracted that indicates how much profit can be generated by the solution for each problem provider's individual profit index of the problem provider profit index. This makes it possible to obtain latent solution information and solution profit information that the problem solver himself is not aware of, and to provide more accurate problem-solving support.

[0097] In a more preferred embodiment of the present invention, an AI agent is set up to generate solution questions for each task provider attribute (e.g., task provider industry, etc.), and by accepting the designation of the task provider industry before specifying the task provider as the recipient of the solution in S301, the display processing unit 19 sorts and displays multiple customers, and the solution question generation unit generates solution questions using an AI agent linked to the designated task provider industry.

[0098] In a more preferred embodiment of the present invention, solution benefit information is received for each of multiple types of solutions. Specifically, after S3, the solution receiving unit 13 and the solution question generating unit generate a question to check whether there are other types of solutions, and if there are other types of solutions, the process returns to S301 and solution information is received for each type of solution.

[0099] In a more preferred embodiment of the present invention, the multiple individual profit indicators are displayed on a matrix having two axes. Specifically, an evaluation axis correspondence table showing the correspondence between task provider attributes and profit evaluation axes is stored in the database, and the evaluation unit 18 inputs the generated multiple detailed end-user individual profit indicators, as well as the task provider attributes of the task providers linked to the multiple detailed end-user individual profit indicators, and the evaluation axis correspondence table into the AI ​​agent to identify the profit evaluation axis corresponding to the task provider attributes, and calculates the numerical value of each detailed end-user individual profit indicator on the profit evaluation axis based on the numerical information of each detailed end-user individual profit indicator.

[0100] Then, the display processing unit 19 displays a matrix having the profit evaluation axis on two axes, displays multiple detailed end-level individual profit indicators on the matrix based on the numerical values ​​on the profit evaluation axis of each individual profit indicator, and displays the display processing results on the problem solver terminal device 4.

[0101] 8 is a diagram showing an example of a matrix table of multiple detailed end-user individual profit indicators. In the illustrated example, "urgency" and "employee man-hour reduction" are used as profit evaluation axes, and each detailed end-user individual profit indicator is displayed in the matrix table by referring to the specific numerical values ​​of the numerical information corresponding to each detailed end-user individual profit indicator. This allows multiple individual profit indicators to be plotted on two axes, such as "urgency" and "reduced employee man-hours," to visualize important and easy-to-address areas, thereby supporting rapid decision-making.In addition, by preparing multiple mappings according to the attributes of the problem provider, such as urgency x reduced man-hours axis from the field perspective and investment amount x realization period axis from the management perspective, and plotting the generated individual profit indicators, problem solvers can intuitively grasp priorities.

[0102] In this embodiment, detailed end-level individual profit indicators are displayed in a matrix using the evaluation axis correspondence table, but the evaluation unit 18 may input the assignment provider attributes into the AI ​​agent to generate the indicator evaluation axis. Also, abstract end-level individual profit indicators may be displayed on the matrix instead of detailed end-level individual profit indicators.

[0103] In a preferred embodiment of the present invention, after receiving solution information, the system may accept the specification of a detailed end-level individual profit indicator associated with the assignment provider, thereby extracting specifiable detailed end-level individual profit indicators. Specifically, the display processing unit 19 compares the qualitative information of the solution contained in the received solution information and the individual profit indicators (qualitative items) placed above the specified detailed end-level individual profit indicator, and performs display processing to accept the specification of detailed end-level individual profit indicators subordinate to the individual profit indicators that contain qualitative information identical or similar to the solution qualitative information. Note that the range of individual profit indicators placed above the specified detailed end-level individual profit indicator can be changed as desired. This makes it possible to match the problem provider and the problem solver only when their qualitative awareness of the problem is the same, leading to a better relationship.

[0104] As described above, by executing the processes of S301 to S304, solution profit information associated with each individual profit index is acquired, and the process proceeds to S4.

[0105] <3.4. Calculation of the issue provider's profits> In S4, the calculation unit 14 calculates the task provider's profit. In this embodiment, the calculation unit 14 calculates the task provider's profit based on the detailed end-user individual profit indicator specified in S3 and the solution profit information acquired for the detailed end-user individual profit indicator. Specifically, the calculation unit 14 identifies the costs and sales expansion included in the solution profit information corresponding to the specified detailed end-user individual profit indicator, and calculates the ratio of sales expansion to the costs as the task provider's profit. For example, if "establishment of a support system" is generated as an individual profit indicator, the calculation unit 14 identifies solution profit information (costs, sales expansion, etc.) resulting from the introduction of a "support DX tool" from the solution information as the solution profit information corresponding to the individual profit indicator.

[0106] More specifically, the unit conversion unit 16 inputs the solution profit information input in S3 and the detailed end-user individual profit index specified in S3 to the AI ​​agent, thereby generating and processing interview questions to obtain correction information for unifying the units of the solution profit information and the numerical information linked to the detailed end-user individual profit index, and transmits the interview questions to the problem provider terminal device 3 linked to the detailed end-user individual profit index or the problem solver terminal device 4 that specified the detailed end-user individual profit index.The unit conversion unit 16 then obtains correction information based on the answers to the obtained interview questions, and converts the unit values ​​of the detailed end-user individual profit index and the solution profit information based on the correction information so that they are unified.The calculation unit 14 calculates the ratio of sales expansion to costs included in the solution profit information as the problem provider profit based on the solution profit information with unified units. This makes it possible to properly calculate the profits gained by the problem provider by solving the problem, even if the problem provider profit index uses "yen" as the unit of measurement and the solution profit information uses "hours" as the unit of measurement.

[0107] <3.5. Proposal Material Generation Processing> In S5, the proposal generation unit 15 generates proposal materials. In this embodiment, the proposal generation unit 15 inputs the detailed end-user individual profit index specified in S3 and the combination of solution information and task provider profit received in S3 for the detailed end-user individual profit index to the AI ​​agent, thereby generating proposal materials in which solution information and task provider profit are associated with each specified detailed end-user individual profit index.

[0108] <3.6. Approval process for proposal materials> In S6, the approval unit 17 determines whether the proposal material satisfies predetermined approval conditions. In this embodiment, one or more problem providers are registered in association with a group that manages solutions, and the approval unit 17 transmits the proposal material generated in S5 to multiple problem solver terminal devices 4 associated with one group, and receives input regarding approval or disapproval from each of the problem solver terminal devices 4. If the approval unit 17 receives input regarding approval from a predetermined number (e.g., a majority) or more, it determines that the approval conditions are met (YES in S6) and proceeds to S7. On the other hand, if the approval unit 17 does not receive input regarding approval from a predetermined number or more (NO in S6), it returns to S3 and receives input of new solution information.

[0109] In a preferred embodiment of the present invention, an advice generation unit of the problem solving support system 0 (not shown) inputs a combination of individual profit indexes and solution information to an AI agent, thereby generating advice regarding the input of solution information for each individual profit index, and the display processing unit 19 may display the advice on the problem solver terminal device 4. For example, advice urging the input of missing information is generated as solution information and displayed on the problem solver terminal device 4.

[0110] <3.7. Display processing of proposal materials> In S7, the display processing unit 19 displays the proposal materials. In this embodiment, the display processing unit 19 displays the proposal materials that met the approval conditions in S6, and causes the display processing results to be displayed on the problem provider terminal device 3. Specifically, the display processing unit 19 displays the proposal materials that met the approval conditions in S6, arranged by problem solver.

[0111] In a preferred embodiment of the present invention, the task provider's profit is displayed in association with a detailed end-user individual profit index. Specifically, a linking unit (not shown) registers the solution information received for a specified detailed end-user individual profit index and the task provider's profit calculated based on the solution information in association with the detailed end-user individual profit index. The display processing unit 19 then displays the detailed end-user individual profit index and the task provider's profit as nodes, connecting these nodes with links.

[0112] In a preferred embodiment, a plurality of proposal documents linked to detailed end-user individual profits are displayed in a matrix. Specifically, the evaluation unit 18 inputs the plurality of proposal documents linked to the detailed end-user individual profit indicators, along with profit evaluation axes corresponding to the detailed end-user individual profit indicators, into the AI ​​agent, and identifies numerical values ​​corresponding to each of the profit evaluation axes based on the numerical information included in each proposal document. For example, the numerical information included in the proposal documents may include evaluation values ​​of solutions such as numerical values ​​related to profits, reduced labor hours, monetary and time costs involved in implementation, etc.

[0113] The display processing unit 19 then processes and displays a matrix having two profit evaluation axes, and displays a plurality of proposal materials on the matrix based on the numerical values ​​on the profit evaluation axes of each proposal material, and causes the display processing results to be displayed on the problem provider terminal device 3. Note that instead of the proposal materials, information identifying the problem solver linked to the proposal materials may be displayed.

[0114] By executing the above steps S1 to S7, it is possible to identify potential problems faced by problem providers and support matching with solution providers (problem solvers) who can solve those problems. By using indicators directly linked to profits as the indicators used for matching, it is possible to prevent mismatches from being discovered after matching. Furthermore, problem providers can find appropriate problem solvers simply by comparing the materials proposed by problem solvers, significantly reducing the number of meetings required to consider solution implementation. Furthermore, by having the problem solver confirm and approve the reliability of the information before showing the proposal materials to the problem provider, it is possible to prevent mismatches caused by incorrect proposal materials being presented to the problem provider.

[0115] In this embodiment, the deep dive question generation unit 11 generates deep dive questions by inputting deep dive reference information obtained based on the answers to the common questions and individual profit indexes into the AI ​​agent, but deep dive questions may also be generated by inputting only the individual profit indexes into the AI ​​agent.

[0116] Furthermore, in this embodiment, by accepting the designation of a task provider, the input of solution information is accepted, a proposal material is generated, and the proposal material is displayed to the designated task provider. On the other hand, by accepting the designation of a task provider attribute (for example, the task provider industry) instead of the designation of a task provider, the proposal material may be displayed to the task provider who, among the task providers having the designated task provider attribute, will have the highest task provider profit when the problem solver provides a solution.

[0117] Specifically, a linking unit of the problem solving support system (not shown) links and registers the solution profit information included in the solution information of each problem solver received for the detailed end-stage individual profit index, and the problem provider profit of each problem solver based on the solution information, for each detailed end-stage individual profit index. Then, a display processing unit 19 displays to the problem provider the proposal material of the problem solver that provides solution information that will result in the highest problem provider profit, out of the proposal materials of multiple problem providers.

[0118] In a more preferred form, the solution profit information includes solution performance information that shows the performance of the solution for each individual profit indicator, and the display processing unit 19 uses the detailed end-user individual profit indicator and the solution performance information that is included in the solution profit information linked to the detailed end-user individual profit indicator and corresponds to the detailed end-user individual profit indicator to identify the proposal materials to be displayed to the assignment provider and process the display of the proposal materials.

[0119] In another embodiment of the present invention, the deep dive question generator 11 generates deep dive questions based on the provided tasks. The deep dive question generator 11 also generates new deep dive questions based on answers to the deep dive questions. The index generator 12 then generates individual profit indexes and task provider profit indexes based on these answers.

[0120] In this embodiment, an upper limit of the number of individual profit indicators is set, and the deep dive question generator 11 determines whether the generation of individual profit indicators is sufficient based on the indicator hierarchies, the number of individual profit indicators generated for each indicator hierarchies, and the upper limit of the indicators. Here, the upper limit of the indicators includes a horizontal depth upper limit indicating the upper limit of the number of individual profit indicators to be arranged for each indicator hierarchies, and a vertical depth upper limit indicating the upper limit of the number of indicator hierarchies.

[0121] If the generation of individual profit indicators is insufficient, the deep dive question generation unit 11 generates new deep dive questions based on the number of individual profit indicators for each indicator hierarchical level of the generated task provider profit indicators and the answers to the deep dive questions. Specifically, the deep dive question generation unit 11 inputs the indicator hierarchical level of the individual profit indicators generated immediately before and the answers to the deep dive questions into the AI ​​agent, and generates deep dive questions for generating individual profit indicators in the hierarchical level immediately below the indicator hierarchical level of the individual profit indicator generated immediately before, or for generating individual profit indicators in the same hierarchical level as the indicator hierarchical level of the individual profit indicator generated immediately before.

[0122] More specifically, the deep dive question generation unit 11 determines the hierarchical level of the individual profit index to be generated next based on the index hierarchical level of the individual profit index generated immediately before and the horizontal depth upper limit value, and inputs to the AI ​​agent an instruction to generate an individual profit index in the determined hierarchical level and the answer to the deep dive question input in S202, thereby generating an individual profit index immediately below the index hierarchical level of the individual profit index generated immediately before or an individual profit index in the same hierarchical level as the index hierarchical level of the individual profit index generated immediately before. Note that the deep dive question generation unit 11 may also generate an individual profit index immediately below the index hierarchical level of the individual profit index generated immediately before or an individual profit index in the same hierarchical level as the index hierarchical level of the individual profit index generated immediately before by inputting the index hierarchical level of the individual profit index generated immediately before and the horizontal depth upper limit value to the AI ​​agent.

[0123] Furthermore, in this embodiment, the display process refers to a process in which the display processing unit 19 executes a process of generating information necessary for display, and transmits the generated information to the terminal device 9, thereby causing the terminal device 9 to display the generated information. On the other hand, when the display processing unit 19 is provided in the terminal device 9, the display process may also be a process in which the display processing unit 19 executes a process of generating necessary information, and transmits the generated information to the display unit 95 of the terminal device 9, thereby causing the display unit 95 to display the generated information.

[0124] In addition, the generation process in this embodiment involves sending a request to generate various information to an AI agent external to the system and acquiring the generated information. Alternatively, the system may have an AI agent and the AI ​​agent may generate various information.

[0125] In addition, the calculation process in this embodiment involves sending a request to calculate a numerical value to an AI agent external to the system and obtaining the generated numerical value. Alternatively, the system may have an AI agent and the AI ​​agent may calculate the numerical value. [Explanation of symbols]

[0126] 0: Problem-solving support system 1:Problem solving support device 3: Assignment provider terminal device 4: Problem solver terminal device 10: Server 101: Processing section 102: Storage section 103: Communications Department 9: Terminal device 91: Processing section 92: Storage section 93: Communications Department 94: Input section 95:Display section 11: Deep Question Generation 12: Index generation section 13: Solution Reception Department 14: Calculation section 15: Proposal generation section 16: Unit conversion section 17: Approval Department 18: Evaluation section 19: Display processing section 2: Database NW: Communication network W1: Assignment provider screen W11: Assignment input field W12: Profit indicator display area W13: Profit indicator selection section W14: Answer reception section

Claims

1. A problem solving support system that supports problem solvers in solving problems, the problem-solving support system includes an in-depth question generation unit, an index generation unit, a unit conversion unit, and a calculation unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates individual profit indexes associated with the numerical information; the unit conversion unit receives the designation of the individual profit index, receives solution profit information indicating the profit obtained by providing the solution, and generates and processes numerical information corresponding to the designated individual profit index and correction information for unifying the unit system of the received solution profit information; The calculation unit calculates the problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the solution information of the problem solver. Problem-solving support system.

2. A problem solving support system that supports problem solvers in solving problems, the problem solving support system includes an in-depth question generation unit, an index generation unit, an evaluation unit, a calculation unit, and a display processing unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the calculation unit calculates a problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the problem solver's solution information; the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates an individual profit index associated with the numerical information by linking it to the assignment provider; The evaluation unit identifies a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; The display processing unit processes and displays the individual profit index by arranging the individual profit index on a two-dimensional plane having the profit evaluation axis as an axis based on the numerical information associated with the individual profit index. Problem-solving support system.

3. A problem solving support system that supports problem solvers in solving problems, the problem solving support system includes an in-depth question generation unit, an index generation unit, a calculation unit, an evaluation unit, a proposal generation unit, and a display processing unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the calculation unit calculates a problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the problem solver's solution information; the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates an individual profit index associated with the numerical information by linking it to the assignment provider; The evaluation unit identifies a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; the proposal generation unit receives the designation of the individual profit index and the solution information, and generates proposal materials linked to the individual profit index based on the individual profit index and the solution information; The display processing unit displays the proposal document or the problem solver corresponding to the proposal document on a two-dimensional plane having the profit evaluation axis corresponding to the individual profit index linked to the proposal document as an axis, according to the numerical information based on the proposal document. Problem-solving support system.

4. The task provider profit index has a hierarchical structure composed of a plurality of the individual profit indexes, the deep dive question generation unit generates the deep dive question for generating an individual profit index that is placed in a lower layer than the individual profit index, based on the individual profit index; the index generation unit generates the individual profit index based on the answer to the probing question; the in-depth question generation unit determines whether the numerical information for the individual profit index has been received as a response to the in-depth question, and generates a new in-depth question.

4. A problem solving support system according to claim 1.

5. The problem solving support system further comprises a display processing unit, the display processing unit processes the display of the common question to the assignment provider; The deep dive question generation unit acquires deep dive reference information based on the answers to the common questions, and generates the deep dive questions for generating the task provider profit index based on the deep dive reference information and the task provided by the task provider. The problem solving support system according to claim 1.

6. The problem solving support system further comprises a solution question generation unit, the task provider profit index is composed of a plurality of the individual profit indexes, the solution question generation unit generates and processes a solution question regarding a solution corresponding to the individual profit index; The calculation unit receives an answer to the solution question as the solution information, and calculates a task provider profit for each of the individual profit indicators.

4. A problem solving support system according to claim 1.

7. The problem solving support system further comprises a solution question generation unit, the task provider profit index is composed of a plurality of the individual profit indexes, the solution question generation unit generates and processes a solution question regarding a solution corresponding to the individual profit index; The proposal generation unit receives answers to the solution questions as the solution information, and generates the proposal materials based on the individual profit indexes and combinations of the answers corresponding to the individual profit indexes. The problem solving support system according to claim 3.

8. The problem solving support system further comprises a display processing unit, the in-depth question generation unit generates in-depth questions for generating the task provider profit index; the index generation unit generates the task provider profit index based on the answers to the probing questions; The display processing unit performs display processing by arranging a display unit that displays the generated in-depth question, an answer receiving unit that receives the answer, and an index display unit that displays the generated task provider profit index on the same screen. The problem solving support system according to claim 1.

9. A problem-solving support program that supports problem solvers in solving their problems, the problem-solving support program causes a computer to function as an in-depth question generation unit, an index generation unit, a unit conversion unit, and a calculation unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates individual profit indexes associated with the numerical information; the unit conversion unit receives the designation of the individual profit index, receives solution profit information indicating the profit obtained by providing the solution, and generates and processes numerical information corresponding to the designated individual profit index and correction information for unifying the unit system of the received solution profit information; The calculation unit calculates the problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the solution information of the problem solver. Problem-solving support program.

10. A problem solving support method for supporting a problem provider in solving a problem, comprising: The computer A process of generating a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider; A process of generating probing questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; A process of accepting input of numerical information as a response to the probing question and generating an individual profit index associated with the numerical information; a process of receiving a designation of the individual profit index, receiving solution profit information indicating the profit to be obtained by providing the solution, and generating numerical information corresponding to the designated individual profit index and correction information for unifying the unit system of the received solution profit information; A process of calculating a problem provider profit that the problem provider can obtain by providing a solution based on the problem provider profit index and the problem solver's solution information; A problem-solving support method that implements the above.

11. A problem-solving support program that supports problem solvers in solving their problems, the problem-solving support program causes a computer to function as an in-depth question generation unit, an index generation unit, an evaluation unit, a calculation unit, and a display processing unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the calculation unit calculates a problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the problem solver's solution information; the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates an individual profit index associated with the numerical information by linking it to the assignment provider; The evaluation unit identifies a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; The display processing unit processes and displays the individual profit index by arranging the individual profit index on a two-dimensional plane having the profit evaluation axis as an axis based on the numerical information associated with the individual profit index. Problem-solving support program.

12. A problem solving support method for supporting a problem provider in solving a problem, comprising: The computer A process of generating a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider; A process of calculating a problem provider profit that the problem provider can obtain by providing a solution based on the problem provider profit index and the problem solver's solution information; A process of generating probing questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; a process of accepting input of numerical information as a response to the probing question, and generating an individual profit index associated with the numerical information and linking it to the assignment provider; A process of identifying a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; a process of displaying the individual profit indexes by arranging them on a two-dimensional plane having the profit evaluation axis as an axis based on numerical information associated with the individual profit indexes; A problem-solving support method that implements the above.

13. A problem-solving support program that supports problem solvers in solving their problems, the problem-solving support program causes a computer to function as an in-depth question generation unit, an index generation unit, a calculation unit, an evaluation unit, a proposal generation unit, and a display processing unit; The index generation unit generates a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider, the calculation unit calculates a problem provider profit that the problem provider can obtain by providing the solution based on the problem provider profit index and the problem solver's solution information; the in-depth question generation unit generates in-depth questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; the index generation unit receives input of numerical information as a response to the probing question, and generates an individual profit index associated with the numerical information by linking it to the assignment provider; The evaluation unit identifies a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; the proposal generation unit receives the designation of the individual profit index and the solution information, and generates proposal materials linked to the individual profit index based on the individual profit index and the solution information; The display processing unit displays the proposal document or the problem solver corresponding to the proposal document on a two-dimensional plane having the profit evaluation axis corresponding to the individual profit index linked to the proposal document as an axis, according to the numerical information based on the proposal document. Problem-solving support program.

14. A problem solving support method for supporting a problem provider in solving a problem, comprising: The computer A process of generating a task provider profit index that structurally organizes items for increasing the profit of the task provider based on the task provided by the task provider; A process of calculating a problem provider profit that the problem provider can obtain by providing a solution based on the problem provider profit index and the problem solver's solution information; A process of generating probing questions for generating new individual profit indicators based on the individual profit indicators constituting the task provider profit indicator; a process of accepting input of numerical information as a response to the probing question, and generating an individual profit index associated with the numerical information and linking it to the assignment provider; A process of identifying a profit evaluation axis that indicates an evaluation axis of the individual profit index of the task provider based on the individual profit index and the attributes of the task provider linked to the individual profit index; a process of receiving the designation of the individual profit index and the solution information, and generating a proposal material linked to the individual profit index based on the individual profit index and the solution information; A process of displaying the proposal document or the problem solver corresponding to the proposal document on a two-dimensional plane having, as an axis, the profit evaluation axis corresponding to the individual profit index linked to the proposal document, according to numerical information based on the proposal document; A problem-solving support method that implements the above.

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