KR102290521B1 - Industry change trend feedback type startsup capability diagnosis system and method - Google Patents

Abstract

The present invention discloses a competency diagnosis system for an industrial change trend feedback type start-up and a method thereof. According to a specific example of the present invention, as a conversion score of each candidate response to a question of a questionnaire produced to diagnose founder's competency by dispersion of founders and existing founders is corrected, it is possible to numerically quantify founder's competency by reflecting trend changes at the time of start-up and after the start-up, and it is possible to improve the reliability of analysis results of an objective founder competency.

Description

Industrial change trend feedback type startup capability diagnosis system and method

The present invention relates to a system and method for diagnosing start-up competency based on industry change trend feedback, and relates to a technology that allows for numerical quantification of founder's competency by reflecting trend changes at the time of start-up and after start-up.

The competency analysis of a founder who prepares for a general startup is determined by the sum of the response points to the questions matching the analysis components by the founder's readiness, character, and work ability. For example, to the question of “Am I receiving information for starting a business?”, “1. Not very” “2. No” “3. The ability of the founder is determined by the sum of the scores of the responses in “Yes”.

However, as the times change, the questionnaire questions are constantly being modified, but the questions matching the analysis elements by the founder's readiness, character, and work ability have reached the limit of not being able to respond to these demands.

Accordingly, there was a problem in that the reliability of the founder's competency measurement based on the response score to the questionnaire was lowered.

Accordingly, the present applicant intends to propose a method to improve the reliability of the results of the founder's competency analysis by performing the founder's competency analysis by reflecting the dispersion of founders and existing founders reflecting the trend change at the time of start-up and after the start-up. .

KR Registered Patent Publication No. 10-1042362 (Registration Date: June 10, 2011) KR Registered Patent Publication No. 10-1956212 (Registration date March 04, 2019)

Accordingly, the present invention numerically reflects the trend change at the time of start-up and after start-up by correcting the conversion score of each candidate response to the question of the questionnaire produced to diagnose the founder's competency by dispersion of founders and existing founders. It is intended to provide a start-up competency diagnosis system and method that can be quantified as an industry change trend and can improve the reliability of the analysis results of the objective founder competency.

Accordingly, the present invention is to provide a system and method for diagnosing an industrial change trend feedback type startup competency that can minimize losses due to startups from the viewpoint of the founder and minimize investment losses from the perspective of investors.

The object of the present invention is not limited to the object mentioned above, and other objects and advantages of the present invention not mentioned can be understood by the following description, and will be more clearly understood by the examples of the present invention. It will also be readily apparent that the objects and advantages of the present invention can be realized by means of the means and combinations thereof indicated in the claims.

Industrial change trend feedback type startup competency diagnosis system according to the aspect of this embodiment

and a founder competency diagnosis server that quantifies the founder's competency based on the response information of the founder and each of the existing founders among the candidate responses to the questions of the pre-made questionnaire,

The founder capability diagnosis server,

a response information collecting unit for receiving response information selected based on each of the founders and existing founders from among a plurality of response candidates for each question;

a selection rate calculating unit that calculates a selection rate of each response candidate to a query of the founder and each of the founders as a result of statistical analysis of the response information of the founders and the existing founders;

and a converted score setting unit that sets the converted score of each response candidate with the response score given to each response candidate and the calculated candidate response selectivity;

Based on the response information input by each of the existing founders and founders among each response candidate to each question, the variance of each response candidate is derived, and the existing founder dispersion and founder dispersion are derived for each candidate response, and the derived existing founder dispersion and founder dispersion It further includes a conversion score correction unit that corrects the conversion score for each response candidate of the founder based on the comparison result of

It is characterized in that it includes a founder capability quantification unit for quantifying the founder's capability with a converted score or a corrected conversion score for each of a plurality of response candidates to each question.

Preferably, the converted score for each candidate response is

It may be provided to derive a product of a response score given to each of a plurality of response candidates for each query and a selection rate of each response candidate.

Preferably, the converted score correction unit

In order to reflect the change in the candidate response selection rate for each question of the founder, which was derived by considering the history of the founder after the start-up, in the converted score of each candidate response of the founder, the converted score of each candidate response to each question and a variance calculation module for calculating the variance of the founders;

a comparison module for comparing the variance of the founders and the variance of the founders of each candidate response to the query;

a weight setting module for calculating a weight for correcting the conversion score of the candidate response in which the variance of the founder is greater than the variance of the founder as a result of the comparison; and

The weight of the candidate response to the query may include a conversion score resetting module for correcting the conversion score of the candidate response greater than or equal to the founder variance and the founder variance.

Preferably, the variance of each candidate response is

After calculating the average of the converted scores given to each candidate response to each question, and then deriving the deviation from the calculated average value, it can be calculated as a value obtained by dividing the square value of the deviation of each candidate response derived by the number of candidate responses. .

Preferably, the weight is

It is derived by the product of the selection rate of the candidate response of the existing founder and the conversion score given to the candidate response of the founder,

The corrected conversion score is,

It can be derived as the sum of the weight and the conversion score given to the candidate response of the startup.

Industrial change trend feedback type startup capability diagnosis method based on another embodiment of the present invention,

In the startup diagnosis method driven by at least one processor of the founder capability diagnosis server respectively connected by a network between the terminals possessed by the founder and the founder,

a response information collecting step of receiving, as response information, a candidate response selected by the founder and each of the existing founders from among a plurality of candidate responses to each query by at least one processor;

a selection rate calculation step of calculating a selection rate of each candidate response to a query of the founder and each of the founders as a result of statistical analysis of the response information of the founders and the previous founders;

a conversion score setting step of setting the converted score of the candidate response with the response score given to each of a plurality of candidate responses to each of the founders and the previous founders and the selection rate of the candidate responses;

Based on the response score given to each of multiple candidate responses to each question, the variance of the founders and founders is derived for each candidate response, and the conversion score of the candidate responses of the founders is corrected with the result of comparing the variance of the founders and the founders. conversion score correction step; and

Founder competency quantification to quantify founder capacity with the converted score of the converted score setting unit or the converted score of the converted score correcting unit given to the candidate response input for the candidate response input by the founder among each candidate response to each query It is characterized in that it includes a step.

Preferably, the conversion score correction step is

In order to reflect the change in the candidate response selection rate for each question of the founder, which was derived by considering the history of the founder after the start-up, in the converted score of each candidate response of the founder, the converted score of each candidate response to each question And calculating the variance of the founders;

Comparing the variance of the founders and the variance of the founders of each candidate response to the query;

Calculating a weight for correcting the conversion score of the candidate response in which the variance of the previous founder is greater than the variance of the founder as a result of the comparison; and

It may include correcting the conversion score of the candidate response greater than or equal to the existing founder variance and the founder variance with the weight of the candidate response to the query.

Preferably, the weight is

It is derived by the product of the selection rate of the candidate response of the existing founder and the conversion score given to the candidate response of the founder,

The corrected conversion score is,

It can be derived as the sum of the weight and the conversion score given to the candidate response of the startup.

According to the present invention, by correcting the converted score of each candidate response to the question of the questionnaire produced to diagnose the founder's competency by dispersing the founder and the existing founder, the founder's competency is numerically calculated by reflecting the trend change at the time of founding and after the founding. It can be quantified as an objective, and the reliability of the analysis results of the objective founder's competency can be improved.

Accordingly, it is possible to minimize the loss due to the start-up from the perspective of the founder, and has the effect of minimizing the investment loss from the perspective of the investor.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical spirit of the present invention together with the detailed description of the present invention to be described later, so the present invention is a matter described in such drawings should not be construed as being limited only to
1 is a configuration diagram of a startup capability diagnosis system to which an embodiment is applied.
FIG. 2 is an exemplary diagram of a questionnaire produced by the founder capability diagnosis server of FIG. 1 .
3 is a detailed configuration diagram of the founder capability diagnosis server of the system of FIG. 1 .
4 is a detailed configuration diagram of the converted score corrector of FIG. 3 .
FIG. 5 is an exemplary diagram illustrating the corrected conversion score of FIG. 4 .
6 is an overall flowchart illustrating a startup diagnosis process according to another embodiment.

Hereinafter, embodiments of the present invention will be described in more detail with reference to the drawings.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims.

Terms used in this specification will be briefly described, and the present invention will be described in detail.

The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

When a part "includes" a certain element throughout the specification, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. Also, as used herein, the term “unit” refers to a hardware component such as software, FPGA, or ASIC, and “unit” performs certain roles. However, "part" is not meant to be limited to software or hardware. A “unit” may be configured to reside on an addressable storage medium and may be configured to refresh one or more processors.

Thus, by way of example, “part” includes components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functionality provided within components and “parts” may be combined into a smaller number of components and “parts” or further divided into additional components and “parts”.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily carry out the present invention. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description will be omitted.

1 is a configuration diagram of a startup competency diagnosis system to which an embodiment is applied, FIG. 2 is an exemplary view of a query distributed to the founder from the founder capability diagnosis server 100 of FIG. 2 , and FIG. 3 is the founder capability diagnosis of FIG. It is a diagram showing a detailed configuration of the server 100 , FIG. 4 is a detailed configuration diagram of the converted score corrector of FIG. 3 , and FIG. 5 is an exemplary view showing the corrected converted score of FIG. 4 .

1 to 5, the industrial change trend feedback type startup competency diagnosis system of an embodiment reflects the trend change of the entrepreneur's competency at the time of start-up and after the start-up, the founder and the group by candidate response to each question. It is provided to correct the converted score given to each candidate response to each query by the dispersion of the founder and to numerically formulate the founder's competency with the converted score of the corrected candidate response, so that the system is the founder's terminal (M1), the existing founder's terminal (M2), and the founder capability analysis server 100.

Here, the founder capability analysis server 100 produces a founder questionnaire and an existing founder questionnaire including at least one query for analyzing the founder's competency and a plurality of candidate responses to each query, respectively, and the founder terminal M1 and the founder Each is distributed to the terminal M2.

Here, as shown in FIG. 2, the founder questionnaire generates at least one query for each middle classification and each middle classification of the founder's readiness, the founder's personality, and the founder's work ability, and provides a plurality of candidate responses to each generated question. include

For example, the founder questionnaire includes question 1 of “I am collecting information for starting a business” among the middle classifications of founder readiness, and for question 1, “very not”, “no”, “normal”, “yes” , and five candidate responses of “strongly agree”.

The existing founder questionnaire is produced in response to question 1 of the founder questionnaire. In other words, the questionnaire of existing founders, which corresponds to question 1 of the founder's questionnaire, was 1 of "I think we should collect information when preparing to start a business" and "very not", "no", "normal", "yes", and 5 candidate responses to question 1 including “very much”.

As illustrated, for the same question, the founder questionnaire and the founder questionnaire are produced as a question at the time of founding and candidate responses to each question, and the previous founder questionnaire is a question after the time of founding and candidate responses to each question is made with

For each distributed questionnaire, the founder terminal (M1) and the founder terminal (M2) input response information of one of a plurality of candidate responses to each question using an input device provided integrally or separately, and respond to all questions. Upon completion of the input of response information among the candidate responses to , the response information to each founder's questionnaire and the previous founder's query is transmitted to the founder capability analysis server 100 .

Accordingly, the founder capability analysis server 100 responds to each query of the founder questionnaire and the existing founder questionnaire as a result of statistical analysis of the response information input by the founder and the previous founder among the candidate responses to each of the founder questionnaire and the existing founder questionnaire, respectively. Calculates the selection rate of each of a plurality of candidate responses for It may be provided to quantify the founder's competency with the converted score of the candidate's response, and the founder's capability analysis server 100 has a response information collecting unit 110, a selection rate calculating unit 120, a converted score setting unit 130, and a converted score resetting. It includes at least one of the government 140 and the founder capability quantification unit 150 .

First, the response information collecting unit 110 collects and collects, as response information, candidate responses input based on each of the founder terminals M1 and M2 among a plurality of candidate responses among a plurality of candidate responses to each query. Response information of each of the established founders and the existing founders is transmitted to the selection rate calculating unit 120 .

The selection rate calculating unit 120 calculates a selection rate of each of a plurality of candidate responses to each query based on response information transmitted from the founder terminal and the founder terminal among the candidate responses to each query in the founder and founder questionnaires. For example, the selection rate of candidate response 1 among a plurality of candidate responses to question a1 is determined as a result of statistical analysis of the number of founders and existing founders inputting candidate response 1 of question 1 as response information.

The selection rate of each candidate response to each of these queries is transmitted to the converted score setting unit 130 .

The converted score setting unit 130 calculates a converted score of each candidate response by multiplying the selection rate of each of the plurality of candidate responses to each query and the response score given to each candidate response.

For example, if the selection rate of Candidate Response 1 of Query 1 is 13% and the given response score is 10, the converted score of Candidate Response 1 of Query 1 is 1.3. This scaled score is set for each of a plurality of candidate responses to all queries.

On the other hand, the conversion score correction unit 140 reflects the trend change of the capabilities of the founders at the time of founding and the existing founders after the time of founding. Based on the variance of each response candidate, the founder variance and founder variance are derived for each candidate response, and based on the comparison result of the derived founder variance and founder variance, the conversion score for each response candidate of the founder is corrected. Accordingly, the converted score correcting unit 140 has the configuration of a variance calculation module 141 , a comparison module 142 , a weight setting module 143 , and a converted score resetting module 143 .

Here, the distribution calculation module 141 calculates the variance of the existing founders and founders for each candidate response to each query. Here, the variance is the square value of the deviation of the average value for the converted score derived after calculating the average of the converted scores given to each of the plurality of candidate responses to the previous founders and the founders' respective queries, and then deriving the deviation of the calculated average value. It is calculated as the value divided by the number of candidate responses.

Therefore, it can be assumed that a large dispersion means a wide response and a large change in selectivity. For example, when the variance of the founders is greater than or equal to the variance of the founders, the change in the selection rate for the candidate responses of the existing founders occurs greatly, which means a change according to the times or a change in the market. That is, if the variance of the existing founders of the corresponding candidate response 1 to the question a1 is higher than or equal to the founder variance, the change in the selection rate of the corresponding candidate response 1 to the question a1 will be changed at the time after the founding based on the experience of the founders. The possibility exists. Accordingly, the candidate response 1 to the question in which the variance of the founders is greater than or equal to the variance of the founders is given a weight by reflecting the experience of the founders.

Meanwhile, the founder dispersion and the existing founder dispersion for each candidate response to each query are transmitted to the comparison module 142 .

The comparison module 142 compares the founder variance and the founder variance of each candidate response to the query, and the comparison result is transmitted to the weight setting module 143 .

The weight setting module 143 calculates a weight for correcting the converted score of the candidate response in which the founder variance is greater than or equal to the founder variance, and the weight is the converted score of the candidate response in which the existing founder variance is greater than the founder variance and the candidate of the existing founder A weight is derived from the selectivity of the response. For example, the converted score of candidate response 1 to question a1 is derived by multiplying the product of 2.2 points by the selection rate of candidate response 1 to question a1 of the founder as a weight.

That is, the weight of each candidate response is transmitted to the converted score resetting module 144 .

The converted score reset module 143 outputs a corrected converted score by adding a weight to the converted score of each candidate response of the converted score setting unit 130, and the corrected converted score is given to a candidate response in which the founder variance is greater than the founder variance. .

Referring to FIG. 5 , the adjusted conversion score of candidate response 1 to question a1 in the founder questionnaire is a weight calculated by multiplying the conversion score of candidate response 1 to question a1 by 2.2 points and the selection rate of candidate response 1 to question a1 of 0.29. It is derived as the sum of the converted score of 2.2 points for candidate response 1 to question a1. That is, the correction-converted score of candidate response 1 to question a1 is expressed as = 2.2 points * 1.29 = 2.838.

That is, for a candidate response in which the founder variance is larger than the founder variance, the selection rates of each candidate response 1 to 5 to the question a1 of the founder's questionnaire are 13%, 17%, 29%, 22%, and 19%, respectively. The converted scores are 1.3, 1.7, 2.9, 2.2, and 1.9, respectively, and the selection rates of each candidate response 1 to 5 to the question a1 of the previous founder's questionnaire were 13%, 19%, 20%, 29%, and 19%, in the case of candidate response 1, candidate response 1 to question a1 of the founder is 1.3 points, and since the selection rate of candidate response 1 to question a1 of the previous founder is 13%, the adjusted conversion score of candidate response 1 is 1.469 points , and the calculated correction-conversion score is given to candidate 1 of response to question a1 of the founder.

And in the case of candidate response 3, the selection rate of the founder's response candidate 3 is 29%, and the selection rate of the existing founder's response candidate 3 is 20%. The converted score is given to candidate 3 in response to the founder's question a1.

In addition, in the case of candidate response 4, the conversion score of candidate response 4 to question 1 of the founder is 2.2 points and the weight of 1.29 set by 29% of candidate response 4 to question 1 of the founder is the product of the weight of 1.29. The corrected conversion score is set as 2.833. The calculated corrected conversion score is given to candidate 4 in response to the founder's query a1.

As another example, according to the business history of the founder, the weight may be additionally added at a predetermined ratio. For example, if the business experience is 3 years, 30% of the initial weight may be additionally added, and if the business experience is 5 years, 50% of the initial weight may be additionally added.

The founder capability quantification unit 150 may numerically quantify the founder capability as a converted score or a corrected conversion score given to each of a plurality of candidate responses to each query. Accordingly, founder competency is quantified as the adjusted conversion score given to a response candidate whose founder variance is greater than or equal to the founder variance, and is quantified based on the converted score of the candidate response of the founder given to a response candidate whose founder variance is smaller than the founder variance.

6 is an overall flowchart showing an operation process of a founder capability diagnosis server according to another embodiment of the present invention, and a startup diagnosis process according to another embodiment of the present invention will be described with reference to FIG. 6 .

In the first step (S11), the founder capability diagnosis server 100 according to an embodiment produces a questionnaire having a plurality of questions related to each startup and a plurality of candidate responses to each question in order to objectively quantify the founder capability, and The prepared questionnaire is delivered to each founder's terminal and the existing founder's terminal, respectively.

Based on the step (S12), the founder capability diagnosis server 100 according to an embodiment receives the response information received from the founder terminal and the founder for the distributed questionnaire.

In the subsequent step (S13), the founder capability diagnosis server 100 according to an embodiment calculates the selection rate of the candidate response to each query based on the result of statistical analysis of the response information of the founder and the response information of the founder.

And, in step S14, the founder capability diagnosis server 100 according to an embodiment generates a converted score for each of the plurality of candidate responses of the founder by the product of the selection rate of each candidate response and the response score given to each candidate response do. The generated reduced score is given to each of a plurality of candidate responses to each query of the founder.

On the other hand, in step (S15), the founder capability diagnosis server 100 according to an embodiment calculates each founder variance and the existing founder variance. Here, each founder variance and existing founder variance are calculated for each candidate response to each query.

And in steps (S16) (S17), the founder capability diagnosis server 100 according to an embodiment determines the selection rate of the candidate responses of the existing founders for the candidate responses to the question in which the variance of the founders is greater than or equal to the variance of the founders. A weight is derived from the converted score.

In step S18, the founder capability diagnosis server 100 according to an embodiment corrects the conversion score of the founder with a weight derived for a candidate response to a query in which the variance of the founders is greater than or equal to the variance of the founders. The score is derived and the derived adjusted conversion score is given to the candidate response to the query of the founder whose variance is greater than or equal to the variance of the founders.

In step S19, the founder capability diagnosis server 100 according to an embodiment is given a converted score of the candidate response to the question to the founder questionnaire for the candidate response to the question in which the variance of the founders is smaller than the variance of the founders.

In the subsequent step (S20), the founder capability diagnosis server 100 according to an embodiment numerically calculates the founder capability with the corrected conversion score or conversion score given to a plurality of candidate responses to each query and response information input based on the founder quantify negatively.

Accordingly, in one embodiment, the founder weight is given based on the experience of the previous founder, but by allowing the weight to be adjusted in proportion to the previous founder's work history, changes in the times, market changes, etc. recognized from the work history of the existing founders are given to the founders. By providing feedback, it will be possible to implement efficiency and effectiveness for start-up diagnosis.

The embodiments described above may be implemented by a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the apparatus, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA) array), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. Included are magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited drawings, those skilled in the art may apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

100: Founder competency diagnosis server
110: response information collection unit
120: selection rate calculator
130: conversion point setting unit
140: conversion point reset unit
150: Founder competency quantification unit

Claims (8)

and a founder competency diagnosis server that quantifies the founder's competency based on the response information of the founder and each of the existing founders among the candidate responses to the questions of the pre-made questionnaire,
The founder capability diagnosis server,
a response information collecting unit for receiving response information selected based on each of the founders and existing founders among a plurality of response candidates for each question;
a selection rate calculating unit for calculating a selection rate of each response candidate to a query of the founder and each of the founders as a result of statistical analysis of the response information of the founders and the existing founders;
and a converted score setting unit that sets the converted score of each response candidate with the response score given to each response candidate and the calculated candidate response selectivity;
By deriving the variance of each response candidate with the converted score set for each candidate response to each question, the founder variance and the founder variance are derived for each candidate response, and each response of the founders based on the comparison result of the derived founder variance and founder variance It further comprises a converted score correction unit for correcting the converted score for each candidate,
Including a founder capacity quantification unit that quantifies the founder's competency with a converted score or a corrected converted score for a plurality of response candidates to each question,
The converted score correction unit,
In order to reflect the change in the candidate response selection rate for each question of the founders derived by considering the history of the founders after the start-up in the converted score of each candidate response of the founder, each converted score for each candidate response to each question a variance calculation module for calculating the variances of founders and existing founders of candidate responses, respectively;
a comparison module for comparing the variance of the founders and the variance of the founders of each candidate response;
a weight setting module for calculating a weight for correcting the conversion score of a candidate response in which the variance of the founder is greater than the variance of the founder as a result of the comparison; and
Industry change trend feedback type startup capability diagnosis system, characterized in that it comprises a conversion score resetting module that corrects the conversion score of candidate responses greater than or equal to the variance of the founders and the variance of the founders with the weight of the candidate responses to the query. According to claim 1,
The converted score for each candidate response is,
Industry change trend feedback type startup capability diagnosis system, characterized in that it is provided to derive the product of the response score given to each of a plurality of response candidates for each question and the selection rate of each response candidate. delete According to claim 1,
The variance of each candidate response is
Calculate the average of the converted scores given to multiple candidate responses to each question, and then derive the deviation from the calculated average value. Industry change trend feedback type startup competency diagnosis system. According to claim 1,
The weight is
It is derived by the product of the selection rate of the candidate response of the existing founder and the conversion score given to the candidate response of the founder,
The corrected conversion score is,
Industry change trend feedback type startup competency diagnosis system, characterized in that it is derived as the sum of the weight and the converted score given to the candidate response of the startup. In the startup diagnosis method driven by at least one processor of the founder capability diagnosis server respectively connected to the network between the terminals possessed by the founder and the founder,
a response information collecting step of receiving, as response information, a candidate response selected by the founder and each of the existing founders from among a plurality of candidate responses to each query by at least one processor;
a selection rate calculation step of calculating a selection rate of each candidate response to a query of the founder and the founder as a result of statistical analysis on the response information of the founder and each of the founders;
a conversion score setting step of setting the converted score of the candidate response with the response score given to each of a plurality of candidate responses to each of the founders and the previous founders and the selection rate of the candidate responses;
Based on the response score given to each of multiple candidate responses to each question, the variance of the founders and founders is derived for each candidate response, and the conversion score of the candidate responses of the founders is corrected with the result of comparing the variance of the founders and the founders. conversion score correction step; and
Founder competency quantification to quantify founder capability with the converted score of the converted score setting unit or the corrected converted score of the converted score corrector given to the candidate response input for the candidate response input by the founder among each candidate response to each query comprising steps,
The conversion score correction step is,
In order to reflect the change in the candidate response selection rate for each question of the founders derived by considering the previous founder’s work history since the start-up time, in the converted score of each candidate response of the founder, the converted score for each candidate response to each question And calculating the variance of the founders;
Comparing the variance of the founders and the variance of the founders of each candidate response to the query;
Calculating a weight for correcting the conversion score of the candidate response in which the variance of the founder variance is greater than the variance of the founder as a result of the comparison; and
Industry change trend feedback type startup competency diagnosis method, characterized in that it comprises the step of correcting the conversion score of the candidate response greater than or equal to the variance of the founders and the variance of the founders with the weight of the candidate responses to the query. delete 7. The method of claim 6,
The weight is
It is derived by the product of the selection rate of the candidate response of the existing founder and the conversion score given to the candidate response of the founder,
The corrected conversion score is,
Industrial change trend feedback type startup capability diagnosis method, characterized in that it is derived as the sum of the weight and the conversion score given to the candidate response of the startup.

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