Form generation device, form generation method, and program

Abstract

The goal is to provide technology to support the creation of various drafts, such as business ideas, policy proposals, innovative technology proposals, social problem solution proposals, and service model proposals. [Solution] One aspect of the present disclosure relates to a form generation device comprising: a precondition acquisition unit that acquires preconditions for generating a draft; a keyword acquisition unit that acquires keywords for generating the draft; a form storage unit that stores a form for describing the draft; an information generation unit that creates instruction statements for acquiring information related to the preconditions and keywords for the items of the form and the descriptions of the items, and acquires answer statements in accordance with the instruction statements; and a form processing unit that inputs the answer statements into the items of the form and outputs generated information in which the answer statements have been input into the form.

Description

Technical Field

[0001] The present disclosure relates to a form generation device, a form generation method, and a program.

Background Art

[0002] With the evolution of information and communication technologies, the use of computers has been expanding not only in technical fields but also in business fields such as management. For example, solution methods using computers have been proposed for support in generating business ideas, evaluating business entities suitable for business, and supporting the design of business models.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Patent Document 5

Summary of the Invention

Problems to be Solved by the Invention

[0004] With the emergence of generative models such as ChatGPT (registered trademark), the use of generative models in the business field has been attempted. For example, generative models are being used to support the creation of business plans and presentation materials. Also, attempts have been made to use generative models to support the creation of business ideas.

[0005] In light of the above issues, the objective of this disclosure is to provide technology to support the creation of various drafts, such as business ideas, policy drafts, innovative technology drafts, social problem solution drafts, and service model drafts. [Means for solving the problem]

[0006] One aspect of the present disclosure relates to a form generation device comprising: a precondition acquisition unit for acquiring preconditions for generating a draft; a keyword acquisition unit for acquiring keywords for generating the draft; a form storage unit for storing a form for describing the draft; an information generation unit for creating instruction statements for acquiring information related to the preconditions and keywords for the items of the form and the descriptions of the items, and acquiring response statements in accordance with the instruction statements; and a form processing unit for inputting the response statements into the items of the form and outputting generated information in which the response statements have been input into the form. [Effects of the Invention]

[0007] According to this disclosure, we can provide technology to support the creation of various drafts, such as business ideas, policy drafts, innovative technology drafts, social problem solution drafts, and service model drafts. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 is a block diagram showing the functional configuration of a form generation device according to one embodiment of the present disclosure. [Figure 2] Figure 2 is a schematic diagram showing the items and descriptions of a form according to one embodiment of the present disclosure. [Figure 3] Figure 3 shows an example of a form according to one embodiment of the present disclosure. [Figure 4] Figure 4 shows an example of a form according to one embodiment of the present disclosure. [Figure 5] Figure 5 shows an example of a form according to one embodiment of the present disclosure. [Figure 6] Figure 6 shows an example of a form according to one embodiment of the present disclosure. [Figure 7] FIG. 7 is a diagram showing a form example according to an embodiment of the present disclosure. [Figure 8] FIG. 8 is a schematic diagram showing generated information according to an embodiment of the present disclosure. [Figure 9] FIG. 9 is a block diagram showing the hardware configuration of a form generation device according to an embodiment of the present disclosure. [Figure 10] FIG. 10 is a block diagram showing the functional configuration of a form generation device according to another embodiment of the present disclosure. [Figure 11] FIG. 11 is a block diagram showing the functional configuration of a form generation device according to another embodiment of the present disclosure. [Figure 12] FIG. 12 is a block diagram showing functional processing for a form into which generated information according to an embodiment of the present disclosure is input. [Figure 13] FIG. 13 is a block diagram showing functional processing for a form into which generated information according to an embodiment of the present disclosure is input.

MODE FOR CARRYING OUT THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

[0010] In the following examples, a form generation device that realizes form generation processing is disclosed.

[0011] FIG. 1 is a block diagram showing the functional configuration of a form generation device 100 according to an embodiment of the present disclosure. As shown in FIG. 1, the form generation device 100 includes a prerequisite acquisition unit 101, a keyword acquisition unit 102, a form storage unit 103, an information generation unit 104, and a form processing unit 105.

[0012] The prerequisite acquisition unit 101 acquires prerequisites for creating various proposals such as business ideas, policy drafts, innovative technology drafts, social issue solution drafts, and service model drafts. The prerequisites may be, for example, corporate information related to new businesses, target market information, etc., and may include any information that serves as a prerequisite for form information generation.

[0013] For example, when using corporate information as a prerequisite, the prerequisite acquisition unit 101 may acquire information explaining the enterprise. Specifically, the corporate information may be the industry type of the enterprise, information that can be obtained from the homepage, information for investors, technical information, information related to the industry type, etc.

[0014] Alternatively, when using patent information as a prerequisite, the prerequisite acquisition unit 101 may acquire a patent specification or abstract, technical information, etc. Alternatively, if there are various ideas that have already been generated, the prerequisite may be such ideas.

[0015] The keyword acquisition unit 102 acquires keywords for creating various ideas such as business ideas, policy proposals, innovative technology proposals, social issue solution proposals, service model proposals, etc. The keywords may be, for example, the technology of a new business, product categories, target customer groups, etc., and may include any keywords for information generation of the form.

[0016] For example, the keywords may be information that characterizes the various ideas to be created. Specifically, keywords such as services for individuals, services for the elderly, food education, etc. may be used. Alternatively, if there is already a generated business idea, the keywords may be an explanation regarding the characteristics of the business idea, such as the characteristics of the business and the assumed customers.

[0017] The form storage unit 103 stores forms for describing various ideas such as business ideas, policy proposals, innovative technology proposals, social issue solution proposals, service model proposals, etc. The form here may be related to, for example, a business model canvas (BMC), PEST analysis, SWOT analysis, TRL evaluation, and BRL evaluation, etc.

[0018] For example, the Business Model Concerning Management (BMC) includes items such as Customer Segment (CS), Customer Relationships (CR), Channel (CH), Value Propositions (VP), Revenue Streams (RS), Key Resources (KR), Key Activities (KA), Key Partnerships (KP), and Cost Structure (CS).

[0019] As shown in Figure 2, it is known that CS can be associated with descriptions of items such as "To whom value is delivered," CR with "How relationships with customers are built," CH with "Through what channels is value delivered," and VP with "What value is delivered."

[0020] Furthermore, PEST analysis may include one or more items from political, economic, social, and technological factors. Similarly, SWOT analysis may include one or more items from Strengths, Weaknesses, Opportunities, and Threats. Additionally, TRL (Technical Level) is an indicator of the stage of technological development, while BRL (Business Level) is an indicator of business maturity.

[0021] Thus, the form storage unit 103 stores various forms that can be used to create various drafts such as business ideas, policy drafts, innovative technology drafts, social problem solution drafts, and service model drafts, and also holds information elements that show the items that make up each form and descriptions of those items.

[0022] For example, the "Business Idea Items" form may consist of items and descriptions of those items, as shown in Figure 3. As illustrated, the form may consist of items such as "Problem," "Solution," "Customer Segment," and "Market Development Strategy," and descriptions of each item such as "Problem of Target Customers," "Proposed Way to Solve the Problem," "Who are the Target Customers?", and "How to Enter the Market" may be associated with these items.

[0023] As another example, the form “BMC” may consist of items and descriptions of those items, as shown in Figure 4. As illustrated, the form may consist of items such as “CS: Customer Segment,” “CR: Customer Relationships,” “CH: Channels,” and “VP: Value Propositions,” and corresponding to items such as “CS: Customer Segment,” “CR: Customer Relationships,” “CH: Channels,” and “VP: Value Propositions,” descriptions of each item may be associated with them, such as “Customer segment, who are the customers,” “How do we build relationships with customers,” “What channels do we use to deliver the product / service,” and “What value do we deliver?”

[0024] As another example, the SWOT form may consist of items and descriptions of those items, as shown in Figure 5. As illustrated, the form may consist of items such as "Strength," "Weakness," "Opportunity," and "Threat," and descriptions of each item, such as "Business Strengths," "Business Weaknesses," "Business Opportunities," and "Business Threats," may be associated with these items.

[0025] As another example, the form “Five Forces” may consist of items and descriptions of those items as shown in Figure 6. As illustrated, the form may consist of items such as “Industry Rivalry,” “Bargaining Power of Suppliers,” “Bargaining Power of Buyers,” “Threat of New Entrants,” and “Threat of Substitutes,” and corresponding to items such as “Industry Rivalry,” “Bargaining Power of Suppliers,” “Bargaining Power of Buyers,” “Threat of New Entrants,” and “Threat of Substitutes,” descriptions of each item such as “Competitor Rivalry,” “Bargaining Power of Suppliers,” “Bargaining Power of Buyers,” “Threat of New Entrants,” and “Threat of Substitutes.”

[0026] As another example, the form “PEST” may consist of items and descriptions of those items, as shown in Figure 7. As illustrated, the form may consist of items such as “Political,” “Economic,” “Social-cultural,” and “Technological,” and descriptions of each item, such as “Political,” “Economic,” “Social-cultural,” and “Technological,” may be associated with these items, such as “Political environment for business strategy,” “Economic environment for business strategy,” “Social-cultural environment for business strategy,” and “Technological environment for business strategy.”

[0027] The information generation unit 104 creates instruction statements to obtain information related to preconditions and keywords for the form items and descriptions of those items, and obtains generated information according to those instruction statements. For example, the information generation unit 104 generates instruction statements (e.g., search statements, search conditions, prompts, etc.) to obtain information for creating the form content from any information provision means such as a website on the cloud, a database, or a generation model.

[0028] For example, in order to obtain information for creating the contents of a form from a generation model, the information generation unit 104 creates prompts to cause the generation model to generate information related to preconditions and keywords for the form items and descriptions of those items. For example, when creating a BMC form, the information generation unit 104 creates prompts that indicate the preconditions and keywords, along with a description of each item, in order to cause the generation model to generate the contents of each item of the BMC.

[0029] Specifically, in order to generate the content of the BMC item CS (Customer Segment), the information generation unit 104 displays the preconditions specified by the user obtained from the precondition acquisition unit 101 and the keywords entered by the user obtained from the keyword acquisition unit 102, and creates a prompt to answer the explanation of item CS, "To whom do we deliver value?", and inputs this prompt into the generation model.

[0030] In this way, the information generation unit 104 creates prompts for each item of the BMC and inputs the created prompts into the generation model. After obtaining the response text for each item from the generation model, the information generation unit 104 provides the obtained response text to the form processing unit 105.

[0031] The form processing unit 105 inputs the response text into the form fields and outputs generated information with the response text entered into the form. For example, when it obtains the response text for each field of a form, the form processing unit 105 inputs the response text corresponding to each field of the form and generates a form with the corresponding response text entered into each field.

[0032] The form processing unit 105 displays the form, with the corresponding answer text entered for each item, to the user as generated information. For example, the form processing unit 105 can obtain generated information #1, #2, ... as shown in Figure 8 for various combinations of preconditions and keywords.

[0033] Here, the form generation device 100 may have a hardware configuration such as that shown in Figure 9. Specifically, the form generation device 100 includes a drive device 11, a storage device 12, a memory device 13, a processor 14, a user interface (UI) device 15, and a communication device 16, all interconnected via bus B.

[0034] The programs or instructions that implement the various functions and processes in the form generation device 100 may be stored on a removable storage medium such as a CD-ROM (Compact Disk-Read Only Memory) or flash memory. When the storage medium is set in the drive device 11, the programs or instructions are installed from the storage medium to the storage device 12 or memory device 13 via the drive device 11. However, the programs or instructions do not necessarily have to be installed from the storage medium; they may also be downloaded from any external device via a network or the like.

[0035] The storage device 12 is implemented by a hard disk drive or the like, and stores files, data, etc., used to execute the installed program or instructions, along with the installed program or instructions.

[0036] The memory device 13 is implemented using random access memory, static memory, etc., and when a program or instruction is activated, it reads the program or instruction, data, etc. from the storage device 12 and stores it. The storage device 12, the memory device 13, and the removable storage medium may be collectively referred to as a non-transitory storage medium.

[0037] The processor 14 may be implemented by one or more CPUs (Central Processing Units), GPUs (Graphics Processing Units), processing circuits, etc., which may consist of one or more processor cores, and executes various functions and processes of the form generation device 100 according to data such as programs, instructions, and parameters necessary to execute the programs or instructions stored in the memory device 13.

[0038] The user interface (UI) device 15 may consist of input devices such as a keyboard, mouse, camera, and microphone, output devices such as a display, speaker, headset, and printer, and input / output devices such as a touch panel, and realizes an interface between the user and the form generation device 100. For example, the user operates the form generation device 100 by using a keyboard, mouse, etc., to operate a GUI (Graphical User Interface) displayed on a display or touch panel.

[0039] The communication device 16 is implemented by various communication circuits that perform wired and / or wireless communication processing with external devices, the Internet, LAN (Local Area Network), cellular networks, and other communication networks.

[0040] However, the hardware configuration described above is merely an example, and the form generation device 100 according to this disclosure may be implemented by any other suitable hardware configuration.

[0041] Figure 10 is a block diagram showing the functional configuration of a form generation device 100 according to another embodiment of the present disclosure. As shown in Figure 10, the form generation device 100 further includes an editing reception unit 106.

[0042] The editing reception unit 106 receives the modifications to the generated information. Specifically, the form processing unit 105 displays the generated information to the user in an editable state, and the editing reception unit 106 receives the modifications edited by the user and provides the modifications to the information generation unit 104. Upon receiving the modifications, the information generation unit 104 recreates the instruction text based on the modifications and obtains the response text according to the recreated instruction text.

[0043] For example, the information generation unit 104 modifies the parts of the prompt applied to generate the pre-edited generation information that correspond to the modifications received by the edit reception unit 106. Alternatively, the information generation unit 104 modifies the prompt based on the modifications received by the edit reception unit 106. Then, the information generation unit 104 inputs the modified prompt into the generation model. After obtaining the response text from the generation model, the information generation unit 104 provides the modified response text to the form processing unit 105, updates the generation information with the modified response text, and displays the updated generation information to the user.

[0044] Figure 11 is a block diagram showing the functional configuration of a form generation device 100 according to another embodiment of the present disclosure. As shown in Figure 11, the form generation device 100 further includes a modification unit 107, an evaluation unit 108, and a selection unit 109.

[0045] The modification unit 107 modifies the generated information. This modification may be performed by a user or a third party, or it may be performed automatically. Specifically, the modification unit 107 modifies the generated information output from the form processing unit 105.

[0046] Specifically, the modified generated information can be obtained by inputting a modified prompt into the generative model. For example, a prompt might be generated instructing an executive at company XXX to modify a business idea so that it achieves a higher growth rate during the five-year medium-term plan. Alternatively, the attributes of the person inputting the prompt could be changed.

[0047] The evaluation unit 108 evaluates the modified generated information. This evaluation may be performed by a user or a third party, or it may be performed automatically. Specifically, the evaluation unit 108 evaluates the generated information modified by the modification unit 107. For example, if the evaluation is performed according to predetermined evaluation criteria, the evaluation unit 108 may evaluate the generated information modified according to the predetermined evaluation criteria. The evaluation unit 108 may also evaluate generated information that has been generated by the form processing unit 105 but has not been modified by the modification unit 107.

[0048] For example, a five-point scale could be used for items such as feasibility and potential. When evaluating manually, the evaluator's attributes (e.g., YYY expert, management consultant, executive, etc.), evaluation results, and reasons for evaluation may be obtained. When using automated evaluation, prompts such as "You are a railway service expert. Rate the business idea on a five-point scale for each of the Five Forces items and generate reasons for your evaluation" may be entered into the generative model. Alternatively, similar business ideas may be searched for, and their associated evaluation results may be obtained.

[0049] For example, the modified generated information, the evaluation of the modified generated information, and / or the reasons for the evaluation may be stored in association with each other. Furthermore, the generated information before modification may also be stored in association with these. In addition, the attributes of the evaluator (e.g., demographic information such as the evaluator's occupation, field of expertise, age, gender, and preferences) may also be stored. Broad classifications of evaluator attributes include consultants who provide evaluations and advice from the standpoint of experts in their respective fields, and personas who provide impressions and perspectives as customers belonging to customer segments. Specific examples of consultants include legal counsel and financial advisors, and specific examples of personas include anime fans and technology enthusiasts. The evaluation unit 108 is equipped with a generative model that has been trained to embody a person with the knowledge and / or preferences corresponding to each attribute, and evaluates the generated information using the generative model corresponding to the attribute selected by the user. By selecting the attributes of the evaluator, the user can virtually obtain evaluations from people in various positions, and by making modifications to reflect these evaluations, the completeness of drafts such as business ideas can be improved.

[0050] The correction process and evaluation process described above may be executed repeatedly. When multiple corrected generated information is created, the selection unit 109 may select one of the generated information from the multiple generated information created according to predetermined selection criteria and display the selected generated information on the form processing unit 105. The form processing unit 105 may display the selected generated information and the generated information before correction, and may also display the evaluation reason and the attributes of the evaluator.

[0051] Furthermore, the evaluation unit 108 may search for businesses similar to the generated information being evaluated and obtain associated evaluation results (hereinafter referred to as "similar business search evaluation example"), and the following examples are possible. The similar business search evaluation example can be implemented, for example, by inputting prompts into the generation model that instruct the execution of the search and evaluation described below and the output of the execution results.

[0052] The evaluation unit 108 identifies existing businesses similar to the generated information to be evaluated by searching the internet or by searching databases located on servers in a cloud environment or on-premises environment. The evaluation unit 108 then compares the existing businesses identified as similar (hereinafter referred to as "similar information") with the draft content included in the generated information to be evaluated (hereinafter referred to as "evaluation target draft") and extracts the differences. The evaluation unit 108 then displays the extracted differences as evaluation results in the form processing unit 105. This makes it easier for users to modify the evaluation target draft (for example, by modifying input prompts for modifying the evaluation target draft).

[0053] In the above-mentioned example of searching for and evaluating similar proposals, making it easier to visually distinguish between content common to the proposal being evaluated and content that differs from the proposal being evaluated, for example by using color coding, can streamline the process of considering content revisions.

[0054] Furthermore, in the example of similar proposal search and evaluation, in addition to simply extracting the differences, the revised proposal of the evaluated proposal may be displayed in the form processing unit 105 to further clarify the differences between the evaluated proposal and the similar information. This is advantageous in that the revision process performed in the revision unit 107 may only require approval of the revised proposal, thus improving revision efficiency.

[0055] Furthermore, as described above, the target of creation in one embodiment of this disclosure may be not only a business idea but also, for example, a draft policy. Therefore, in the example of similar proposal search and evaluation, the similar information to be searched for in the proposal to be evaluated may be an existing policy. In such a case, the evaluation unit 108 compares the existing policy, which is similar information, with the draft policy, which is the proposal to be evaluated, and extracts the differences and / or common points. The evaluation unit 108 may also point out problems in the existing policy, which is similar information (particularly problems arising from common points), in the evaluation results displayed on the form processing unit 105. In addition, the evaluation unit 108 may also make suggestions for improving the draft policy in the evaluation results displayed on the form processing unit 105. This makes it possible to formulate policies that utilize lessons learned from problems that actually occurred in past policies.

[0056] Furthermore, in the evaluation process, the evaluation unit 108 may automatically generate evaluation indicators (e.g., KPIs (Key Performance Indicators)) to measure the degree of goal achievement when the proposal under evaluation is implemented. The evaluation unit 108 may then run a simulation of the proposal under evaluation and display the information obtained by quantitatively evaluating the intermediate results and final results of the simulation using the generated KPIs as the evaluation result. In this case, all automatically generated KPIs may be used, or the user may select and use some of the automatically generated KPIs. As an example of suitable KPIs, cost-related KPIs can be cited. By conducting simulations using such KPIs, it is expected that new businesses or policies can be operated with good cost performance. Such evaluation processing can be carried out, for example, by inputting prompts into the generation model that instruct the generation of KPIs based on the proposal under evaluation, as well as the execution of simulations and output of results. A specific example of a prompt may be a prompt that instructs the execution of a five-year simulation of a business idea, corresponding to a medium-term management plan. In the case of such prompts, after referring to the evaluation results of the simulation, it is possible to revise the business idea, for example, to "increase the growth rate during the 5-year medium-term plan" as mentioned above.

[0057] Figure 12 is a block diagram showing the functional processing of a form into which generated information has been entered, according to one embodiment of the present disclosure.

[0058] As shown in the figure, the form into which the generated information generated by the form generation device 100 is entered is decomposed into elements of service / product functionality (201). For example, if it is a business idea for an app service to be installed on a smartphone, the form into which the generated information is entered may be decomposed into interaction and display functions. Alternatively, if it is a business idea for a product, the form into which the generated information is entered may be decomposed into functions provided by the components of the product.

[0059] Next, search and generation are performed for each functional element using one of the information provision means, such as a website, database, or generative model on the cloud, to generate samples of the functional elements (202). For example, if it is a business idea for an app service to be installed on a smartphone, operation function samples and display samples may be generated as functional element samples. Alternatively, if it is a business idea for a product, the shape of the product parts and button operation functions may be generated.

[0060] Next, a series of usage scenarios may be reconstructed by reintegrating the sample functional elements that constitute a sequence of usage (203). For example, button operations or changes in screen display may be envisioned.

[0061] Next, the reconfiguration of the generated functions may be displayed according to the scenario (204).

[0062] All or part of the above-mentioned items 201-204 may be implemented by a generative model.

[0063] Figure 13 is a block diagram showing the functional processing of a form into which generated information has been entered according to other embodiments of the present disclosure.

[0064] As shown in the figure, the form into which the generated information generated by the form generation device 100 is entered is decomposed into elements of service / product functionality (301). For example, if it is a business idea for an app service to be installed on a smartphone, the form into which the generated information is entered may be decomposed into interaction and display functions. Alternatively, if it is a business idea for a product, the form into which the generated information is entered may be decomposed into functions provided by the components of the product.

[0065] Next, search and generation are performed for each functional element using one of the information provision means such as a website, database, or generative model on the cloud to select candidate technologies necessary to realize the functional element (302). For example, candidate technologies may include goggle-type displays or hologram displays for stereoscopic displays, virtual keyboards for keyboardless input, gesture recognition, eye-tracking input, and voice input.

[0066] Next, the advantages and disadvantages of each candidate technology for realizing the functional element are evaluated (303). This evaluation may be performed by the user or a third party, or it may be performed automatically.

[0067] For example, when considering technologies for automatically selecting transportation modals, such as driver registration-based, call center-based, and automated estimation based on location and schedule, there are comparative factors such as manufacturing costs, operating costs, and service quality for each technology to search for available transportation options and estimate their availability time.

[0068] An example of a prompt to achieve this could be: "For a newly developed railway service for elderly people living in rural areas, which involves picking up and dropping off passengers at train stations, there are three candidate technologies for automatically selecting the mode of transport: driver registration type, call center type, and automatic estimation type based on location information and schedule. Please compare and evaluate the characteristics of these technologies and generate a table."

[0069] Next, the system searches for owners of the selected technology candidates based on the evaluated advantages and disadvantages (304). This search may be implemented by internet search or generative model.

[0070] All or part of the above-mentioned items 301-304 may be implemented by a generative model.

[0071] Although embodiments of this disclosure have been described in detail above, this disclosure is not limited to the specific embodiments described above, and various modifications and changes are possible within the scope of the gist of this disclosure as described in the claims. [Explanation of symbols]

[0072] 100 Form Generator 101 Prerequisite acquisition part 102 Keyword Acquisition Section 103 Form storage section 104 Information generation section 105 Form Processing Unit 106 Editorial Reception Department 107 Correction section 108 Evaluation Department 109 Selection Section

Claims

1. A precondition acquisition unit that acquires preconditions for generating a draft, A keyword acquisition unit that acquires keywords for generating the aforementioned draft, A form storage unit for storing a form for describing the aforementioned draft, An information generation unit creates instruction statements for obtaining information related to the preconditions and keywords for the items of the form and the descriptions of the items, and obtains a response statement according to the instruction statements. A form processing unit that inputs the response text into the fields of the form and outputs generated information in which the response text has been entered into the form, A form generating device having the following features.

2. The form generation device according to claim 1, wherein the instruction is a prompt for the generation model to generate information relating to the preconditions and keywords for the items of the form and the descriptions of the items.

3. The form generation device according to claim 1, wherein the form storage unit stores forms related to a business model canvas (BMC), PEST analysis, SWOT analysis, TRL evaluation, and BRL evaluation.

4. The form generating apparatus according to claim 3, wherein the BMC includes one or more items of Customer Segment (CS), Customer Relationships (CR), Channel (CH), Value Propositions (VP), Revenue Streams (RS), Key Resources (KR), Key Activities (KA), Key Partnerships (KP), and Cost Structure (CS).

5. The form generating apparatus according to claim 3, wherein the PEST analysis includes one or more items of political factors, economic factors, social factors, and technological factors.

6. The form generating apparatus according to claim 3, wherein the SWOT analysis includes one or more items of Strengths, Weaknesses, Opportunities, and Threats.

7. The form generating apparatus according to claim 3, wherein the TRL evaluation is an indicator of the stage of technology development.

8. The form generation apparatus according to claim 3, wherein the BRL evaluation is an indicator for evaluating the maturity of the business.

9. The form generating apparatus according to claim 1, wherein the aforementioned preconditions include company information or target market information relating to a new business.

10. The form generating apparatus according to claim 1, wherein the aforementioned keywords include the technology, product category, or target customer segment of a new business.

11. The system further includes an editing reception unit that accepts modifications to the generated information, The form generation device according to claim 1, wherein the information generation unit recreates the instruction text based on the modified content and obtains a response text according to the recreated instruction text.

12. The form generation apparatus according to claim 1, further comprising an evaluation unit for evaluating the modified generation information.

13. The system further includes an evaluation unit that evaluates the generated information, The evaluation unit extracts the difference between the generated information and existing information similar to the generated information, and outputs an evaluation result based on the extracted difference. The form generating apparatus according to claim 1.

14. The system further includes an evaluation unit that evaluates the generated information, The evaluation unit generates evaluation indicators for measuring the degree of goal achievement when the draft plan included as content in the generated information is implemented, and quantitatively evaluates the simulation of the draft plan using the generated evaluation indicators. The form generating apparatus according to claim 1.

15. The system further includes an evaluation unit that evaluates the generated information, The evaluation unit includes a generative model that has been trained to possess knowledge and / or preferences corresponding to each attribute, and evaluates the generated information using the generative model corresponding to the attribute selected by the user. The form generating apparatus according to claim 1.

16. The form generating device according to claim 1, wherein the draft is a business idea, a policy draft, a draft of an innovative technology, a draft of a solution to a social problem, or a draft of a service model.

17. Obtaining the prerequisites for creating a draft, A keyword acquisition unit that acquires keywords for generating the aforementioned draft, To store a form for describing the aforementioned draft, The process involves creating instruction statements to obtain information related to the preconditions and keywords for the items and descriptions of the aforementioned form, and obtaining response statements according to the instruction statements. The system inputs the response text into the fields of the form and outputs generated information in which the response text has been entered into the form. A method for generating forms that a computer executes.

18. Obtaining the prerequisites for creating a draft, A keyword acquisition unit that acquires keywords for generating the aforementioned draft, To store a form for describing the aforementioned draft, The process involves creating instruction statements to obtain information related to the preconditions and keywords for the items of the form and the descriptions of the items, and obtaining response statements according to the instruction statements. The system inputs the response text into the fields of the form and outputs generated information in which the response text has been entered into the form. A program that causes a computer to execute something.

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