Review proposal apparatus, review proposal method, and computer program

Abstract

To reduce unsuccessful matching due to the absence of advisor that a client desires.SOLUTION: An acquisition unit acquires, as failure reason information, reasons of the absence of appropriate advisor, from a client who did not select an advisor as a counselor from among a plurality of advisors who are candidates of counselor. A detection unit detects a review timing when determining that a predetermined review condition for recommending review of advisor is satisfied, using failure reason information acquired from each of a plurality of different clients. An output unit outputs a review proposal notification to recommend review in the case of the review timing.SELECTED DRAWING: Figure 7

Description

[Technical Field]

[0001] The present disclosure relates to a review suggestion device, a review suggestion method, and a computer program for reviewing members of a plurality of advisors registered as counselors. [Background technology]

[0002] In order to facilitate a smooth transition from school to society and work, career education is being promoted in schools such as high schools before students enter the workforce. This has led to high school students thinking about their future careers, but they can sometimes get stuck due to a lack of information. In light of this, attempts are being made to provide career counseling services where high school students can consult with working adults about their careers.

[0003] Patent Document 1 (JP 2021-33683 A) describes a method for matching an advisor to resolve a user's inquiry. In the method described in Patent Document 1, an advisor's score is calculated based on the question entered by the user and the advisor's attributes, and an advisor is selected based on the calculated score. Furthermore, in Patent Document 1, a question is asked to the selected advisor, and a list of candidate advisors is generated based on the response to the question. The user consults with an advisor selected from the candidate list. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-33683 Summary of the Invention [Problem to be solved by the invention]

[0005] One type of consultation service is one in which the person seeking advice selects an advisor from among multiple registered advisors, and then the person seeks advice through a consultation interview with the selected advisor. This type of consultation service has the following problem. That is, even if the person seeking advice wants to consult about something, there may be no advisor they want to consult with among the multiple registered advisors, and the person seeking advice may not be able to select an advisor to consult with. In such cases, the person seeking advice will find themselves in a situation where they cannot use the consultation service because there is no advisor they want to consult with.

[0006] The present disclosure has been devised to solve the above-mentioned problem. That is, a main objective of the present disclosure is to provide a technology that reduces the situation where a client cannot find an advisor that they would like to consult with. [Means for solving the problem]

[0007] In order to achieve the above object, one aspect of the review suggestion device according to the present disclosure is: an acquisition unit that acquires, from a client who has not found an advisor that he or she would like to select as a consultation partner from among a plurality of advisors who are consultation partner candidates, information on reasons why the client did not find an advisor that he or she would like to select as a consultation partner, as unsuccessful consultation reason information; a detection unit that detects that it is time to review the advisor when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, using the reason information for failure acquired from each of a plurality of different clients; an output unit that outputs a review suggestion notice recommending a review when it is time for a review; Equipped with.

[0008] In addition, one aspect of the review proposal method according to the present disclosure is to By computer, Obtaining, from a consultant who has not found an advisor he or she would like to select from among multiple advisors who are candidates for consultation, the reason why he or she did not find an advisor he or she would like to select as a consultation partner, as reason information for non-conclusion; Using the reason information for the failure acquired from each of the plurality of different clients, when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, it is detected that it is time for a review; If it is time for review, a review suggestion notice recommending review is output.

[0009] Furthermore, one aspect of the computer program according to the present disclosure is A process of acquiring, from a consultant who was unable to find an advisor he or she wanted to choose from among multiple advisors who were candidates for consultation, information on the reason for the lack of a consultation; a process for detecting that it is time to review the advisor when it is determined that predetermined review conditions for recommending a review of the advisor are satisfied, using information on reasons for failure acquired from each of a plurality of different clients; When it is time for a review, a review suggestion notification is output, recommending a review. to be executed by the computer. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to reduce the situation where a client cannot find an advisor with whom they would like to consult. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating a consultation service providing system including a review suggestion device. [Figure 2] FIG. 1 is a diagram illustrating an example of the configuration of a review suggestion device. [Figure 3] FIG. 10 is a diagram illustrating an example of a display screen that introduces an advisor's profile. [Figure 4] FIG. 10 is a diagram illustrating an example of a method for acquiring non-establishment reason information. [Figure 5] 10 is a flowchart illustrating an example of an operation of the review suggestion device. [Figure 6] FIG. 10 is a diagram illustrating another example of the configuration of the review suggestion device. [Figure 7] FIG. 10 is a diagram illustrating yet another example of the configuration of the review suggestion device. [Figure 8] 10 is a flowchart illustrating an example of an operation of the review suggestion device. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

[0013] First Embodiment The review suggestion device of the first embodiment according to the present disclosure is, for example, a computer device applied to the following consultation service providing system. The consultation service providing system here is, for example, a system in which a client 2 can consult with an advisor 8, as shown in FIG. 1. The advisor 8 is a counselor who listens to the client 2, gives advice to the client 2, and talks about his or her own experiences. For example, the consultation service providing system has multiple advisors 8 registered as counselors, and one selected by the client 2 from among the registered advisors 8 will respond to the client 2.

[0014] The review suggestion device 1 of the first embodiment is a computer device that proposes a review of the members of registered advisors 8, and by reviewing the members of registered advisors 8, it aims to reduce the failure of matching between the client 2 and the advisor 8. In this case, the failure of matching means that the client is unable to select an advisor to consult with because there is no advisor that the client wants to consult with among the registered advisors, and as a result, a match between the client and the advisor is not made.

[0015] 1 shows an example in which a client 2 is having an online consultation with an advisor 8. Online consultation is a format in which terminal devices 3 and 9 operated by the client 2 and the advisor 8, respectively, are connected via an information and communication network (e.g., an Internet line), and the client 2 and the advisor 8 conduct a face-to-face consultation using the terminal devices 3 and 9. Note that the consultation format between the client 2 and the advisor 8 in the consultation service providing system to which the review proposal device 1 of the first embodiment is applied is not limited to online consultation, and may also be a consultation format such as a telephone consultation or a face-to-face consultation, for example.

[0016] The consultation service providing system to which the review proposal device 1 of the first embodiment is applied is not limited in the type of consultation content it handles. In the description of the first embodiment, the client 2 is a high school student, the consultation content is career counseling for future careers, and the advisor 8 is a working adult. The consultation service providing system also includes basic service provision functions for providing consultation services. The basic service provision functions include, for example, a matching function that matches the client 2 with the advisor 8 by having the client 2 select an advisor 8, and an interview arrangement function that arranges a consultation appointment between the matched client 2 and the advisor 8. These basic service provision functions may be implemented by processing on the same computer as the review proposal device 1, or may be implemented by processing on a computer (not shown) separate from the review proposal device 1. There are various processing methods for implementing functions such as the matching function and the interview arrangement function included in the basic service provision functions. Since these methods are not limited here, their description will be omitted.

[0017] As shown in Figure 2, the review proposal device 1 of the first embodiment is communicatively connected to a terminal device (hereinafter also referred to as a client terminal) 3 operated by a client 2 and a terminal device (hereinafter also referred to as an operator terminal) 7 operated by a system operator 6.

[0018] The client terminal 3 is an information device and has a communication function and a display control function. The communication function is a function for communicating information with other devices with communication functions via an information communication network such as the Internet, and this communication function enables the client terminal 3 to communicate with the review proposal device 1 and the operator terminal 7. The display control function is a function for displaying information on the display device 4 by controlling the display operation of the display device 4. The client terminal 3 is not limited to any particular type as long as it is an information device that has the above-mentioned communication function and display control function, and specific examples include a smartphone, a tablet, and a personal computer (PC). Note that if the client terminal 3 is a smartphone or a tablet, the display device 4 is integrated with the client terminal 3, but if the client terminal 3 is a PC, the display device 4 may be external.

[0019] In the first embodiment, the client terminal 3 may exchange information with the review suggestion device 1 to cooperate with the review suggestion device 1. Methods for the client terminal 3 to cooperate with the review suggestion device 1 include, for example, a method using an application program (app) that provides a function for cooperation with the review suggestion device 1, or a method using a browser (software for browsing information on the Internet). Whether the cooperation between the client terminal 3 and the review suggestion device 1 is executed by an app or a browser is appropriately set by the designer of the consultation service providing system, and is not limited here.

[0020] As with the client terminal 3, the type of the operator terminal 7 is not limited as long as it is an information device equipped with a communication function and a display control function. The operator terminal 7 may also be linked to the review proposal device 1. As with the client terminal 3, whether the link between the operator terminal 7 and the review proposal device 1 is executed by an app or a browser is set appropriately by the designer of the consultation service providing system, and is not limited here.

[0021] The review suggestion device 1 of the first embodiment is also connected to a database 5, which is a storage device. In the first embodiment, the database 5 stores profile information of a plurality of advisors 8 (hereinafter also referred to as registered advisors) who have already registered in the consultation service providing system. The profile information of the advisor 8 here is self-introduction information registered by the advisor 8 in the consultation service providing system, and includes, for example, a self-introduction comment and attribute information. The attribute information of the advisor 8 is information that represents the personality of the advisor 8, and includes, for example, age, occupation, history (including work history and educational background), a facial photo, qualifications, skills, hobbies, etc. The type of information about the advisor 8 included in the attribute information is determined by, for example, a designer of the consultation service providing system, and is not limited to the above-mentioned examples. Furthermore, the profile information of the advisor 8 stored in the database 5 is associated with advisor identification information that identifies the corresponding advisor 8. Furthermore, there are various methods for acquiring profile information from the advisor 8 and storing (registering) it in the database 5, and since the methods are not limited here, a description thereof will be omitted.

[0022] The profile information of the advisor 8 can be transmitted from the database 5 to the client terminal 3 or the operator terminal 7 by the review proposal device 1 or another computer device (not shown) that constitutes the consultation service providing system. The transmitted profile information can be viewed by the client 2 or the system operator 6 by being displayed, for example, on the display screen of the display device of the client terminal 3 or the operator terminal 7 as shown in FIG.

[0023] As shown in FIG. 2, the review suggestion device 1 includes a computing device 10 and a storage device 20. The storage device 20 includes a storage medium for storing data and a computer program (hereinafter also referred to as a program) 21. There are multiple types of storage devices, such as magnetic disk drives and semiconductor memory devices. Furthermore, there are many types of semiconductor memory devices, such as RAM (Random Access Memory) and ROM (Read Only Memory). A computer device may be equipped with multiple types of storage devices depending on their intended use, but these storage devices will be collectively referred to as the storage device 20 without distinction. Furthermore, the types and number of storage devices equipped in the review suggestion device 1 are not limited, and their description will be omitted. Furthermore, as described above, the review suggestion device 1 is connected to a database 5. As a result, the review suggestion device 1 may write information to or read information from the database 5 instead of using the storage device 20. However, to avoid complication, such a description may be omitted here.

[0024] The arithmetic device 10 is configured with a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The arithmetic device 10 can have functions based on a program 21 by reading and executing the program 21 stored in a storage device 20. Here, the arithmetic device 10 has an acquisition unit 11, a classification unit 12, a detection unit 13, and an output unit 14 as functional units related to proposing a review of the members of registered advisors 8.

[0025] The acquisition unit 11 acquires the reason for non-matching information from the client 2. Here, the client 2, who is the subject of acquisition of the reason for non-matching information, is a client who did not have an advisor 8 that he / she wanted to select as a consultant from among the multiple advisors 8 who are candidates for consultants. The reason for non-matching information is information that indicates the reason why there was no advisor 8 that he / she wanted to select (in other words, the reason why the match between the client 2 and the advisor 8 was not established (hereinafter also referred to as the reason for non-establishment of match)).

[0026] The following is an example of a method for identifying the client 2 who is the target of the information. For example, assume that information about multiple advisors 8 who are potential advisors is sent to the client terminal 3 to allow the client 2 to select an advisor 8 to consult with, and then a reply is received from the client terminal 3 indicating that there is no advisor 8 that the client wishes to select. In such a case, the client 2 operating the client terminal 3 is identified as the target of the information on reasons for non-conclusion.

[0027] Another example of a method for identifying a seeker 2 who is a target of acquisition is a method using a post-interview questionnaire. Here, the post-interview questionnaire is a questionnaire sent to the seeker terminal 3 of the seeker 2 after the consultation interview with the advisor 8 has ended, asking about impressions of the interview, etc. This post-interview questionnaire includes a question such as, "Of the multiple advisors 8 presented as potential advisors, did you actually think that there was no advisor 8 that you would want to consult with?" Then, a seeker 2 who answers affirmatively to this question, such as "Yes," is identified as a target of acquisition of the reason-for-rejection information. Note that the method for identifying a seeker 2 who is a target of acquisition of the reason-for-rejection information is not limited to the method exemplified here, and a system designer or the like may adopt an appropriate method.

[0028] Examples of acquisition methods for obtaining the reason-for-matching information from the client 2 include the following. For example, question information including a question such as that shown in FIG. 4 is transmitted to the client terminal 3 of the client 2, who is the target of the match. The question is a question for prompting the client 2 to provide an answer as to why the match was not successful. The answer to this question is acquired as the reason-for-matching information. An example of the timing for transmitting the question information is when the client 2, who is the target of the match, is identified. Note that FIG. 4 illustrates an example of a display format in which the client terminal 3 of the client 2, who is the target of the match, uses the question information transmitted from the acquisition unit 11 to display the information on the display screen 4. In the example of FIG. 4, the answer to the question is a multiple-choice format in which the client selects an answer from multiple options, but it may also be a written format in which the answer is entered by entering a sentence. The answer format is appropriately set by a system designer or the like, taking into account, for example, the processing capacity of the classification unit 12 that processes the answers.

[0029] The acquisition unit 11 acquires, for example, the reason for non-confirmation information from the client 2 who has been identified as a target by the identification method described above, using the acquisition method described above. To give a specific example, when the client 2 selects an advisor 8 as a consultation partner from a plurality of advisors 8 as potential consultation partners, the acquisition unit 11 acquires, from the client 2 who did not select an advisor 8 because there was no advisor 8 that the client wanted to select, the reason for not being able to select an advisor 8 as reason for non-confirmation information.

[0030] Furthermore, the acquisition unit 11 stores the acquired information on reasons for non-matching in the storage device 20. The information on reasons for non-matching stored in the storage device 20 associates, for example, information on the date and time when the client 2 responded with the reason for non-matching and client identification information that identifies the client 2 who responded. The storage device 20 and the database 5 store, for example, attribute information of the client 2, which the client 2 registered with the consultation service providing system when using the system. The attribute information of the client 2 is information that describes the client 2. The types of information included in the attribute information are predetermined by the designer of the consultation service providing system, and are not limited to these. Examples of the attribute information include the following types of information: For example, the attribute information of the client 2 includes information such as age, area of ​​residence, and high school major (e.g., general or technical), as well as information related to the content of the career counseling, such as whether the client wishes to go to university, the desired university, the desired occupation, and whether the client is interested in studying abroad. This attribute information of the client 2 is stored in the storage device 20 and the database 5 in association with the client identification information. Therefore, by reading out from the storage device 20 or the database 5 the attribute information of the client 2 associated with the same client identification information as the client identification information associated with the reason for non-conclusion information, it is possible to obtain the attribute information of the client 2 related to the reason for non-conclusion information.

[0031] The classification unit 12 classifies the reasons (reason for match failure) based on the reason for match failure information acquired by the acquisition unit 11 into multiple predetermined categories. The classification categories are set, for example, by the system operator 6, taking into consideration the consultation content and a review of the registered advisors 8. That is, in the first embodiment, the classification unit 12 also has a function of receiving and setting the number of categories and their contents for classifying the reasons for match failure from the system operator 6. The number of categories and their contents are not limited. However, specific examples of the contents of the categories include the advisor's occupation, university from which he graduated, age, and area of ​​residence, since the consultation content in the first embodiment is career counseling regarding future careers. That is, in career counseling regarding future careers, one reason for match failure is that popular occupations and universities have changed due to changes in fashion, resulting in a shortage of advisors working in popular occupations or who are graduates of popular universities. Another reason for match failure is that a change in registered advisors 8 leads to a bias in the occupations and universities from which registered advisors 8 graduate. In order to eliminate the causes of such match failures and reduce match failures, it is conceivable to review the registered members of advisor 8 (hereinafter also referred to as member review for short). In order to detect a state in which a member review is necessary, the reason for match failure based on the failure reason information is used here. Furthermore, the reason for match failure is also used to identify points to be reviewed. For example, if the reason for match failure is on the rise, where "there is no one with experience in the desired occupation," it is conceivable to review the members of advisor 8 with a focus on occupation. The classification items used by the classification unit 12 to classify the reasons for match failure are set appropriately taking into consideration the points expected to be points for review as described above.

[0032] The detection unit 13 detects that it is time for a review when it determines that a review condition is met using the failure reason information acquired from each of multiple different clients 2. The review condition is a condition that recommends a review of the advisor. In other words, the review condition is a condition that indicates that the number of failed matches between clients 2 and advisors 8 due to registered advisors 8 members is increasing, and a review of the members is considered necessary. Here, the review condition is set in advance, for example, by a system designer. The review condition is not limited to any content as long as it is possible to determine whether the condition is met based on the content of the match failure reasons and the classification status of the match failure reasons. Specific examples include the following review condition: For example, a review condition related to the advisor's occupation is one in which "three or more of the most recent ten reasons for match failure were 'there is no one with experience in the desired occupation.'" This review condition is an example of a condition that uses the number of reasons for each item classified by the classification unit 12. The review condition is not limited to one condition, and may be set for each category that classifies the reasons for failure to match, for example.

[0033] The detection unit 13 determines whether the review condition is satisfied by using, for example, the content of the reason for the failure of the match and information on the classification status of the reason for the failure of the match. Then, when the detection unit 13 determines that the review condition is satisfied, it detects that it is time to review the members.

[0034] When it is detected that it is time to review, the output unit 14 outputs a review proposal notice recommending a review. The review proposal notice is output to, for example, the operator terminal 7. The operator terminal 7 that receives the review proposal notice controls the display of the display device, for example, and displays a message or mark suggesting a member review on the display device. The display on the display device of the operator terminal 7 allows the system operator 6 to realize that a member review is necessary.

[0035] The review proposal notice may include not only information about the content of the member review proposal but also information about the review conditions that triggered the output of the notice. In such a case, for example, the operator terminal 7 that received the review proposal notice may also present the content of the review conditions that triggered the output of the review proposal notice to the system operator 6.

[0036] The review suggestion device 1 of the first embodiment is configured as described above. Next, an example of the operation of the review suggestion device 1 will be described with reference to Fig. 5. Fig. 5 shows a flowchart explaining an example of the operation of the review suggestion device 1. It can also be said that Fig. 5 shows an example of a review suggestion method by the review suggestion device 1.

[0037] For example, when the acquisition unit 11 of the calculation device 10 in the review proposal device 1 acquires the reason for failure information from the client 2 who has been identified as a target person for acquisition (step 101 in Figure 5), the classification unit 12 classifies the reason for the failure of the match based on the reason for failure information into a preset classification item (step 102).

[0038] Thereafter, the detection unit 13 determines whether or not predetermined review conditions are satisfied, using the content and classification status of the matching failure reasons based on the plurality of pieces of failure reason information acquired by the acquisition unit 11 (step 103). If it is determined that the review conditions are not satisfied, the calculation device 10 of the review proposal device 1 repeats the operations from step 101 onwards. On the other hand, if it is determined that the review conditions are satisfied, the detection unit 13 detects that it is time for a review (step 104). Thereafter, the output unit 14 outputs a review proposal notice to, for example, the operator terminal 7 (step 105). Thereafter, the operator terminal 7 that has received the review proposal notice notifies (presents) the system operator 6 that a member review has been proposed.

[0039] As described above, the review suggestion device 1 of the first embodiment is configured to detect the timing for a member review using the reason for match failure based on the failure reason information acquired from the client 2, and output a review suggestion notice recommending a member review. As a result, the review suggestion device 1 can prompt, for example, the system operator 6 to review the members by outputting the review suggestion notice. Moreover, since the review suggestion notice is output when the review condition is satisfied, the review suggestion device 1 can output the review suggestion notice at the timing when a member review is necessary. Therefore, the review suggestion device 1 can suggest a member review to, for example, the system operator 6, who will review the members at an appropriate time. As a result, the review suggestion device 1 can reduce the number of cases where a match fails because there is no advisor that the client wants to consult with. This is believed to contribute to improving the reliability of the consultation service providing system.

[0040] Furthermore, by including in the review proposal notification the contents of the review conditions that triggered the output of the review proposal notification, the review proposal device 1 can provide hints (hints) on key points for member review to, for example, the system operator 6 who is reviewing the members.

[0041] Second Embodiment A second embodiment according to the present disclosure will be described below. In the description of the second embodiment, components having the same names as those in the description of the first embodiment will be denoted by the same reference numerals, and a duplicate description of the common parts will be omitted.

[0042] The review proposal device 1 of the second embodiment further includes a condition change unit 15 as shown in FIG. 6 in addition to the configuration of the review proposal device 1 of the first embodiment. The condition change unit 15 accepts changes to the review conditions used by the detection unit 13 from the operator terminal 7 and changes the review conditions to the accepted content. That is, information on the review conditions used by the detection unit 13 in processing is stored, for example, in the storage device 20. When the condition change unit 15 receives a change request requesting a change to the review conditions and information on the change content from the operator terminal 7, the condition change unit 15 changes the review conditions in accordance with the change request and updates the information on the review conditions stored in the storage device 20 to the changed content. When the review conditions are updated in this way, the detection unit 13 uses the updated review conditions to perform processing similar to that of the detection unit 13 in the first embodiment.

[0043] The configuration of the review proposal device 1 of the second embodiment other than the above-mentioned configuration is the same as the configuration of the review proposal device 1 of the first embodiment.

[0044] The review proposal device 1 of the second embodiment has a configuration similar to that of the review proposal device 1 of the first embodiment, and can therefore achieve the same effects as those of the review proposal device 1 of the first embodiment. Furthermore, the review proposal device 1 of the second embodiment has a configuration in which the condition change unit 15 can accept changes to the review conditions from the system operator 6 and change the contents of the review conditions. This allows the review proposal device 1 of the second embodiment to be more convenient because the system operator 6 can change the contents of the review conditions when he or she wants to change them.

[0045] <Other embodiments> The present disclosure is not limited to the first and second embodiments and may be embodied in various ways. For example, the first and second embodiments illustrate an example in which the review suggestion notice output by the output unit 14 may also include the details of the review conditions that triggered the output of the review suggestion notice. The review suggestion notice may further include one or both of information indicating the membership of registered advisors 8 (in other words, multiple advisors who are potential advisors) and a comment suggesting points for review. The comment suggesting points for review may be generated in advance, for example, taking into account the details of the review conditions, associated with the review conditions, and stored in the storage device 20. When the associated review conditions become the output target, the comment is read from the storage device 20 and output as part of the review suggestion notice. Furthermore, the review suggestion device 1 may be configured to, for example, statistically process the reasons for match failure and analyze the results of the statistical processing using AI (artificial intelligence) technology or the like (a function for analyzing the reasons for match failure). In this case, the analysis results obtained by the function for analyzing the reasons for the failure of the match may be included in the review suggestion notice as a comment suggesting points for review. Furthermore, in the operator terminal 7 that has received the information representing the member composition of the registered advisors 8, the information representing the member composition may be displayed on the display device as a pie chart or the like using the information representing the member composition.

[0046] Furthermore, the reasons for failure of matching represented by the failure reason information acquired by the acquisition unit 11 may also include other reasons unrelated to the members (profile) of registered advisors 8. For example, other reasons include reasons related to the design or operation of the system, such as "I didn't understand the meaning of the terminology, and I didn't understand the instructions." In other words, other reasons include reasons related to the operation (behavior) of the client 2 when the client 2 selects an advisor to consult with from among multiple advisors 8 as potential advisors.

[0047] In such a case, for example, improvement notification conditions are set in advance. The improvement notification conditions are conditions for notifying the system designer or system operator 6 of system improvements using other reasons included in the non-establishment reason information. The detection unit 13 determines whether the above-mentioned improvement notification conditions are met using the other reasons included in the non-establishment reason information. Then, when the improvement notification conditions are met, the detection unit 13 detects that it is time to issue an improvement notification to encourage improvements to resolve the other reasons. In response to this detection, the output unit 14 outputs a notification encouraging system improvements. This notification may include information indicating the other reasons that triggered the output of the notification as information suggesting points for improvement.

[0048] Furthermore, in the first and second embodiments, the classification unit 12 is included as a functional unit in the review suggestion device 1, but the classification unit 12 may be omitted depending on the review conditions. Furthermore, in the first and second embodiments, an example is given in which the person seeking advice is a high school student and the consultation content is career advice with an eye toward their future career, but the consultation content and the person seeking advice who uses the consultation service providing system to which the review suggestion device of the present disclosure is applied are not limited to the examples in the first and second embodiments.

[0049] In addition, the review suggestion device according to the present disclosure may also have a configuration as shown in FIG. 7 as another embodiment. The review suggestion device 60 shown in FIG. 6 is, for example, a computer device, and includes an acquisition unit 61, a detection unit 62, and an output unit 63 as functional units realized by executing a computer program. The acquisition unit 61 acquires, from a client who has not found a preferred advisor among multiple advisor candidates, reason information indicating why the client did not find a preferred advisor. The detection unit 62 uses the reason information acquired from each of the multiple different clients to detect that a review is due when it is determined that a predetermined review condition recommending a review of the advisor is met. If it is due to a review, the output unit 63 outputs a review suggestion notification recommending a review. Note that the acquisition unit 11, detection unit 13, and output unit 14 of the review suggestion device 1 in the first and second embodiments described above are examples of the acquisition unit 61, detection unit 62, and output unit 63, respectively.

[0050] Next, an example of the operation of the review suggestion device 60 will be described with reference to Fig. 8. Fig. 8 is a flowchart illustrating an example of the operation of the review suggestion device 60. Fig. 8 can also be said to be a diagram illustrating an example of a review suggestion method.

[0051] For example, the acquisition unit 61 acquires reason-for-rejection information from a client who has not found an advisor to choose from among multiple advisor candidates (step 201 in FIG. 8). Thereafter, the detection unit 62 uses the reason-for-rejection information acquired from each of the multiple different clients to determine that the review condition is met, and detects that it is time for review (step 202). If it is time for review, the output unit 63 outputs a review suggestion notice (step 203).

[0052] The review suggestion device 60 is configured to detect the timing to review the members of multiple advisors who are candidates for consultation, using the failure reason information acquired from the client. This allows the review suggestion device 60 to suggest a review of the members of advisors at an appropriate time, for example, to a system operator. This allows the review suggestion device 60 to reduce the situation where a match is not made because there is no advisor that the client wants to consult with.

[0053] Some or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes. (Appendix 1) an acquisition unit that acquires, from a client who has not found an advisor that he or she would like to select as a consultation partner from among a plurality of advisors who are consultation partner candidates, information on reasons why the client did not find an advisor that he or she would like to select as a consultation partner, as unsuccessful consultation reason information; a detection unit that detects that it is time to review the advisor when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, using the reason information for failure acquired from each of a plurality of different clients; an output unit that outputs a review suggestion notice recommending a review when it is time for a review; A review proposal device comprising: (Appendix 2) a classification unit that classifies the reasons based on the non-establishment reason information acquired by the acquisition unit into a plurality of predetermined categories, The review condition used by the detection unit includes a condition using the number of reasons for each item classified by the classification unit. The review proposal device described in Appendix 1. (Appendix 3) The apparatus further includes a condition change unit that receives a change in the review condition used by the detection unit and changes the review condition to the received content. The review proposal device described in Appendix 1. (Appendix 4) The review proposal notice output by the output unit includes information indicating the member composition of a plurality of advisors who are candidates for consultation. The review proposal device described in Appendix 1. (Appendix 5) The non-establishment reason information acquired by the acquisition unit includes reasons unrelated to the advisor as other reasons, The detection unit further detects that it is time to issue an improvement notification to prompt the resolution of the other reasons when it determines that a predetermined improvement notification condition for prompting the resolution of the other reasons is satisfied, using the other reasons included in the non-establishment reason information acquired by the acquisition unit; The output unit further outputs a notification urging improvement when it is detected that it is time to notify the improvement. The review proposal device described in Appendix 1. (Appendix 6) The acquisition unit acquires, as reason-for-failure information, from a client who did not select an advisor because there was no advisor they wanted to select when selecting an advisor from among a plurality of advisors who are candidate advisors. The review proposal device described in Appendix 1. (Appendix 7) Other reasons include reasons related to the actions of the consultant when selecting an advisor from among multiple advisor candidates. The review proposal device described in appendix 5. (Appendix 8) The client is a high school student, the advisor is a working adult, and the client is seeking career advice. The review conditions used by the detection unit include a condition related to the occupation of the advisor. The review proposal device described in Appendix 1. (Appendix 9) By computer, Obtaining, from a consultant who has not found an advisor he or she would like to select from among multiple advisors who are candidates for consultation, the reason why he or she did not find an advisor he or she would like to select as a consultation partner, as reason information for non-conclusion; Using the reason information for the failure acquired from each of the plurality of different clients, when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, it is detected that it is time for a review; If it is time for a review, a review suggestion notification is output recommending a review. How to propose a review. (Appendix 10) A process of acquiring, from a consultant who was unable to find an advisor he or she wanted to choose from among multiple advisors who were candidates for consultation, information on the reason for the lack of a consultation; a process for detecting that it is time to review the advisor when it is determined that predetermined review conditions for recommending a review of the advisor are satisfied, using information on reasons for failure acquired from each of a plurality of different clients; When it is time for a review, a review suggestion notification is output, recommending a review. A computer program that causes a computer to execute the following.

[0054] Note that some or all of the configurations described in Supplementary Notes 2 to 8 that are dependent on Supplementary Note 1 above may also be dependent on Supplementary Notes 9 and 10 in the same dependent relationship as Supplementary Notes 2 to 8. Furthermore, not limited to Supplementary Notes 1, 9, and 10, some or all of the configurations described as Supplements may be made dependent on various hardware, software, various storage means for recording software, or systems, within the scope of each of the above-mentioned embodiments.

[0055] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate. [Explanation of symbols]

[0056] 1,60 Review proposal device 11,61 Acquisition Department 12 Classification section 13,62 Detection unit 14,63 Output section 15 Condition change section

Claims

1. an acquisition unit that acquires, from a consultant who has not found an advisor he or she would like to select from among a plurality of advisors who are advisor candidates, information on reasons why the consultant did not find an advisor he or she would like to select as a consultant, as unsuccessful information; a detection unit that detects that it is time to review the advisor when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, using the reason information for failure acquired from each of a plurality of different clients; an output unit that outputs a review suggestion notice recommending a review when it is time for a review; A review proposal device comprising:

2. a classification unit that classifies the reasons based on the non-establishment reason information acquired by the acquisition unit into a plurality of predetermined categories, The review condition used by the detection unit includes a condition using the number of reasons for each item classified by the classification unit. The review suggestion device according to claim 1 .

3. The apparatus further includes a condition change unit that receives a change in the review condition used by the detection unit and changes the review condition to the received content. The review suggestion device according to claim 1 .

4. The review proposal notice output by the output unit includes information indicating the member composition of a plurality of advisors who are candidates for consultation. The review suggestion device according to claim 1 .

5. The non-establishment reason information acquired by the acquisition unit includes reasons unrelated to the advisor as other reasons, The detection unit further detects that it is time to issue an improvement notification to prompt the resolution of the other reasons when it determines, using the other reasons included in the non-establishment reason information acquired by the acquisition unit, that a predetermined improvement notification condition for prompting the resolution of the other reasons is satisfied; The output unit further outputs a notification urging improvement when it is detected that it is time to notify the improvement. The review suggestion device according to claim 1 .

6. The acquisition unit acquires, as reason-for-failure information, from a client who did not select an advisor because there was no advisor they wanted to select when selecting an advisor from among a plurality of advisors who are candidate advisors. The review suggestion device according to claim 1 .

7. Other reasons include reasons related to the actions of the consultant when selecting an advisor from among multiple advisor candidates. The review suggestion device according to claim 5 .

8. The client is a high school student, the advisor is a working adult, and the client is seeking career advice. The review conditions used by the detection unit include a condition related to the occupation of the advisor. The review suggestion device according to claim 1 .

9. By computer, Obtaining, from a consultant who has not found an advisor he or she would like to select from among multiple advisors who are candidates for consultation, reasons why he or she was unable to find an advisor he or she would like to select as reason information for the unsuccessful consultation; Using the reason information for the failure acquired from each of the plurality of different clients, when it is determined that a predetermined review condition for recommending a review of the advisor is satisfied, it is detected that it is time for a review; If it is time for a review, a review suggestion notification is output recommending a review. How to propose a review.

10. A process of acquiring, from a consultant who was unable to find an advisor he or she wanted to choose from among multiple advisors who were candidates for consultation, information on the reason for the lack of a consultation; a process for detecting that it is time to review the advisor when it is determined that predetermined review conditions for recommending a review of the advisor are satisfied, using information on reasons for failure acquired from each of a plurality of different clients; When it is time for a review, a review suggestion notification is output, recommending a review. A computer program that causes a computer to execute the following.

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