WO2023146188A1

WO2023146188A1 - Multistage type survey system for deep analysis

Info

Publication number: WO2023146188A1
Application number: PCT/KR2023/000749
Authority: WO
Inventors: 한승수; 김영군; 이승구
Original assignee: 주식회사 지지56코리아
Priority date: 2022-01-27
Filing date: 2023-01-16
Publication date: 2023-08-03
Also published as: KR20230115761A

Abstract

The invention relates to a multistage type survey system for deep analysis, which configures the content of survey questions in a plurality of stages, classifies respondents into a plurality of groups according to attributes, and presents survey questions of a deeper stage for respondents of a certain group when the number of respondents belonging to the corresponding group exceeds a predetermined reference value. The invention comprises: a response group classification unit for classifying the respondents into the plurality of groups according to the attributes; a survey question design unit that generates the survey questions while configuring the survey questions in a tree structure having at least two stages; an attribute acquisition unit for acquiring attributes of the respondents; a survey question selection unit that extracts a group to which a respondent belongs according to an attribute of the respondent and selects survey questions for the group, wherein the survey questions are selected on the tree structure; and a survey response collection unit that receives response data from the respondents by presenting the selected survey questions and collects the response data as a survey result. According to such a system, when the number of respondents of the certain group exceeds the predetermined reference value, the survey questions of the deeper stage are presented, thereby reducing waste of unnecessary surveys that exceed a statistical sample size and performing deeper surveys for a group with high participation.

Description

Multi-level survey system for in-depth analysis

According to the present invention, the content of a survey item is configured in a plurality of steps, respondents are classified into a plurality of groups according to attributes, and when the number of respondents belonging to a specific group exceeds a predetermined threshold, a deeper step is performed for the respondents of the corresponding group. It relates to a multi-level survey system for in-depth analysis that presents survey questions.

The present invention conducts one type of survey at a time to each user both offline and online and conducts a more in-depth survey to new users based on the accumulated survey contents, thereby securing data capable of big data analysis It relates to a multi-level survey system for in-depth analysis.

In general, users who have received services are surveyed for satisfaction through a survey, and the survey results are used to improve services. That is, service satisfaction surveys are performed by service providers (company, organization, individual, public institution, etc.) to obtain a competitive advantage through innovation or improvement of viewing services by identifying service users' satisfaction levels.

Previously, a questionnaire was provided at the service site and the user was asked to fill out the questionnaire. In this case, time is wasted due to manual questionnaire preparation, and the participation rate of users in the survey is considerably low. In addition, it may be performed by requesting a service satisfaction survey specialized agency. In this case, it is possible to hire a direct survey agent to face-to-face with the user, but there is a problem in that a considerable cost is required. In addition, the satisfaction survey according to the prior art as described above cannot collect or monitor results in real time.

In order to solve the above problems, techniques for surveying satisfaction online have been proposed [Patent Document 1]. In particular, a technique for providing motivation by providing incentives to satisfaction surveys has also been proposed [Patent Document 2]. In addition, a survey terminal for conveniently conducting a survey in the field is provided, and a technology for conducting a survey in the field using the survey terminal has been proposed [Patent Documents 3 and 4].

However, in the prior art as described above, an unspecified number of visitors visit a corresponding place or online site and respond to a survey. Therefore, the distribution of visitors does not follow the demographic distribution. For example, since fast food stores are mainly visited by people in their 20s and 30s (groups), when a survey is conducted at that place, there are many visitors in their 20s and 30s. In this way, even in an online survey, visitors who prefer the corresponding site mainly respond to the survey.

Although a survey is a statistical method and can be meaningfully analyzed if the size of the respondent sample is larger than a certain size, the on-site survey has a problem in that a specific group is oversampled and unnecessary surveys are conducted.

[Prior art literature]

(Patent Document 1) Korean Patent Publication No. 10-2012-0098149 (published on September 5, 2012)

(Patent Document 2) Korean Patent Publication No. 10-2015-0114604 (published on October 13, 2015)

(Patent Document 3) Korean Patent Publication No. 10-2013-0111826 (published on October 11, 2013)

(Patent Document 4) Korean Patent Publication No. 10-2009-0001445 (published on January 9, 2009)

An object of the present invention is to solve the above-described problems, to configure the contents of a questionnaire item in a plurality of steps, to classify respondents into a plurality of groups according to attributes, and to set the number of respondents belonging to a specific group to a predetermined reference value. is to provide a multi-level survey system for in-depth analysis that presents more in-depth survey questions for the respondent of the corresponding group if it exceeds .

In order to achieve the above object, the present invention relates to a multi-level survey system for in-depth analysis, comprising: a response group classification unit for classifying respondents into a plurality of groups according to attributes; a survey item designing unit that creates a questionnaire item, but configures the questionnaire item in a tree structure having at least two steps; an attribute acquisition unit that acquires attributes of the responder; a survey item selection unit that extracts a group to which the corresponding respondent belongs according to the attributes of the corresponding respondent, selects a survey item for that group, and selects a survey item in the tree structure; and a survey response collection unit configured to present a selected survey item, receive response data from the respondent, and collect the response data as a survey result.

In addition, in the present invention, in a multi-level survey system for in-depth analysis, the survey item design unit configures the tree structure with nodes and edges, configures each node with a questionnaire item, and configures the upper node (hereinafter, the upper item item). ) and sub-nodes (hereinafter referred to as sub-questions) are connected to the edge, and the survey question selection unit selects the sub-item of the survey question when the number of responses to the survey question in progress in the corresponding group reaches a predetermined reference value. to be

In addition, in the present invention, in a multi-level survey system for in-depth analysis, the survey item design unit represents the edge in the tree structure as a condition by a response item of a corresponding upper level item, and a lower level item for the upper level item The response items of the edge of are configured so that they do not overlap with each other, and the survey question selection unit extracts the response item having the largest number of responses in the corresponding survey question, and selects a sub-question connected to the edge of the extracted response item as the next survey question characterized by

Further, in the multi-level survey system for in-depth analysis, the present invention is characterized in that the survey item selector does not select the next survey item when there is no sub-question connected to the extracted response item by an edge.

Further, in the multi-level survey system for in-depth analysis, the present invention is characterized in that the survey question selection unit sets the reference value for each group.

In addition, in the present invention, in a multi-level survey system for in-depth analysis, the system outputs the result of the upper question when completing the upper question and converting to the lower question, but transmits the result to the manager terminal. It is characterized in that it further comprises an output unit.

In addition, the present invention is characterized in that in a multi-level survey system for in-depth analysis, the attributes include gender and age group.

As described above, according to the multi-level survey system for in-depth analysis according to the present invention, when the number of respondents in a specific group exceeds a predetermined threshold, a deeper level of survey items are presented, thereby exceeding the statistical sample size. The waste of unnecessary surveys can be reduced, and an effect of conducting more in-depth surveys for groups with a large number of participants is obtained.

1 is a configuration diagram of the entire system for implementing the present invention.

Figure 2 is a block diagram of the configuration of a multi-level survey system for in-depth analysis according to an embodiment of the present invention.

3 is an exemplary view of a questionnaire item according to an embodiment of the present invention.

4 is an exemplary view of a tree structure of survey items according to an embodiment of the present invention;

Hereinafter, specific details for the implementation of the present invention will be described according to the drawings.

In addition, in explaining the present invention, the same reference numerals are assigned to the same parts, and the repeated explanation thereof is omitted.

First, the configuration of the entire system for implementing the present invention will be described with reference to FIG. 1 .

As shown in FIG. 1(a), the survey system according to the present invention can be performed by the survey terminal 10 installed in an offline field. For example, the survey terminal 10 is installed offline, such as a street, cafe, restaurant, exhibition hall, fairground, event hall, festival hall, amusement park, bus stop, etc. can be carried out. That is, only a user who has visited the corresponding place can use the research terminal 10 .

Particularly, preferably, the survey system according to the present invention consists of a survey terminal 10 installed in the field, a survey client 20 installed in the survey terminal 10, and a survey server 30 connected to the corresponding terminal. and can be built as a client-server system. That is, the survey client 20 is a program system installed in the survey terminal 10 and interworks with the survey server 30 to provide a survey service.

Also, as shown in FIG. 1(b), the survey system according to the present invention can be conducted online. The user terminal 10 and the research server 30 are connected through a network 80 such as the Internet. In addition, the user terminal 10 used by the user accesses the survey server 30 and responds to the survey provided by the survey server 30 to conduct the survey. At this time, the survey client 20 is a program system installed in the user terminal 10 and provides a survey service by interworking with the survey server 30 .

Also, as another embodiment, the survey server 30 may provide a metaverse space and provide a survey service within the metaverse space. For example, the survey server 30 creates a virtual survey post on the metaverse, and the user can access the metaverse and respond to the survey through the virtual survey post.

Meanwhile, a database 40 for storing data may be built in the research server 30 . The database 40 may include a survey question DB 41 for storing the contents of installation questions, and a survey result DB 42 for storing survey results. However, the configuration of the database 40 is only a preferred embodiment, and in developing a specific device, it may be configured in a different structure according to the database construction theory in consideration of the ease and efficiency of access and search.

Next, the configuration of the multi-level survey system 300 for in-depth analysis according to an embodiment of the present invention will be described in more detail with reference to FIG. 2 .

As described above, the survey system 300 is a program system on the survey terminal 10, a server 30 system, a client-server system of the client 20 and the server 30, or a survey on the metaverse. It can consist of systems and the like.

As shown in FIG. 2, the multi-level survey system 300 for in-depth analysis according to an embodiment of the present invention includes a response group classification unit 31 for classifying respondents, and a survey item for designing survey questions in multiple stages. It consists of a design unit 32, an attribute acquisition unit 33 that acquires attributes of a respondent, a survey question selection unit 34 that selects survey questions, and a survey response collection unit 35 that collects survey responses. Additionally, a survey statistics analysis unit 36 for statistical analysis of survey response data or a survey result output unit 37 for outputting analysis results may be further included.

First, the response group classification unit 31 classifies respondents into a plurality of groups according to demographic attributes (or respondent attributes).

Sociodemographic attributes (or sociodemographic characteristics) refer to the size, composition, distribution, and socioeconomic variables that significantly affect population composition. Preferably, the sociodemographic attributes include gender, age group, marital status, marital period, child presence, education level, household type, disability status, and the like.

Particularly preferably, the demographic or respondent attributes include gender and age group. The age group divides the age into certain intervals.

Next, the questionnaire item design unit 32 generates questionnaire items, and configures the questionnaire items in at least two steps. Preferably, survey items are formed in a tree structure.

As shown in FIG. 3, the questionnaire items have a multiple-choice type of question. That is, a survey item is composed of a question content (or question) and a plurality of response items as a response to the question. In the example of FIG. 3, one question is composed of four response items. On the other hand, each question item is composed of one question and an optional answer to it as one question.

As shown in FIG. 4 , the questionnaire design unit 32 forms the questionnaire items in a tree structure consisting of a plurality of stages. That is, the tree structure is a tree composed of nodes and edges, each node is composed of survey questions, the upper node (or upper question) and the lower node (lower question) are connected to the edge, and the edge is a condition by the response item indicates

In the tree structure, lower-level items represent items that can be queried when the upper-level items are completed. That is, when the number of responses to the upper question reaches a certain amount, the corresponding lower question is queried.

A parent question can have a number of sub-questions, and response items of the parent question are displayed on the edges of the parent question and the sub-questions. That is, a sub-question (a sub-sentence of the edge of the most-received response item) corresponding to a response item having the largest number of responses in the upper-level question is selected as the next survey question.

On the other hand, the response items of the edge of a lower question for one upper question do not overlap with each other. That is, the response items of the edge correspond to the selection conditions of the sub-items, and the selection conditions do not overlap with each other.

In the example of FIG. 4 , the upper question [Question 1] has lower questions [Question 1.1] and [Question 1.2]. At this time, the edges of [Question 1.1] are (1) and (2), and the edges of [Question 1.2] are (3) and (4). Therefore, if the number of responses to the top question [Question 1] is the highest in (2), [Question 1.1] is selected for the next survey question.

Next, the attribute obtaining unit 33 acquires the responder attribute of the respondent.

The respondent attribute is a demographic attribute of the respondent, for example, gender, age group, and the like.

Respondent attributes can be obtained in a variety of ways.

First, an input may be received directly from a corresponding respondent. For example, a query is made to a corresponding respondent and attributes are inputted.

Alternatively, the responder attribute may be obtained from member information of the corresponding responder. A responder is registered as a member, and at this time, a responder attribute is registered as member information.

Alternatively, the respondent may be photographed as an image, and attributes of the respondent may be extracted from the photographed respondent image.

Next, the survey item selection unit 34 determines the group of the corresponding respondent based on the attributes of the corresponding respondent, and selects a survey item for the corresponding group.

At this time, the survey question selector 34 selects survey questions from the top question (root question) to the lower order of questions sequentially according to the tree structure of the survey questions for the corresponding respondent group. At this time, when the number of responses (number of respondents' responses) to the corresponding survey question (currently ongoing survey question, top question) reaches a pre-determined standard value, the next lower question item is selected.

For example, it is assumed that the reference value is 100 people. For the age group in their 30s, the number of responses (number of responses progressed) is already 100. In addition, the number of responses for the age group of 60 is 30. In this case, if the respondent's age group is in their 30s, since the number of responses in the 30s group has already reached the reference value, a sub-question of the corresponding survey question is selected as the next survey question. If the respondent's age group is in their 60s, since the number of responses in the 60s group does not reach the standard value, the corresponding survey item (survey item currently in progress) is selected as it is.

Preferably, the reference value may be set differently for each group. For example, a reference value of 50 people in a group in their 60s and 100 people in a group in their 30s may be set differently.

In addition, the survey question selection unit 34 extracts the response item having the largest number of responses from the corresponding upper question when it is necessary to select a lower question, and the lower question having the extracted response item as a condition edge is selected as the next survey question. choose to

If there is no sub-question corresponding to the condition, do not select the next survey question. Therefore, the survey is no longer conducted for the corresponding respondent group.

Meanwhile, the survey question selector 34 records and manages the currently ongoing survey questions and the number of responses in the corresponding survey question for each respondent group.

Next, the survey response collection unit 35 receives response data for the selected survey item and collects the response data as a survey result. If no survey questions are selected, the survey is not conducted for the respondent.

Response data is data indicating that one of the response items is selected.

Preferably, the result of only one survey question is collected for the corresponding respondent.

Also, the number of responses for the respondent group is increased by one. That is, the survey response collection unit 35 accumulates the number of responses to the corresponding survey question for each respondent group.

Next, the statistical analysis unit 36 calculates statistical values such as sum or average for the extracted response data. Particularly, preferably, statistical values are calculated for each attribute.

Also, the statistical analysis unit 36 calculates statistical values in tables or graphs.

For example, statistical data for various types of response data or tables and graphs of the corresponding statistical data may be generated by attribute combinations such as sum/average of responses by gender, sum/average of responses by age group, and sum/average of responses by time period. .

Preferably, the statistical analysis unit 36 calculates statistical values whenever new response data is received, and generates real-time statistical value data.

Next, the result output unit 37 outputs numerical data or table or graph data (hereinafter referred to as statistical value data) of the calculated response statistics.

Alternatively, the result output unit 37 generates response statistical value data in the form of a web page or mobile page, and transmits/outputs the generated page according to the user's request.

In particular, the result output unit 37 generates and transmits real-time statistical value data. Therefore, the user can know the response data in real time.

Also, the result output unit 37 may output result data to a manager terminal (not shown) used by the manager.

In addition, the result output unit 37 outputs the result of the upper question when the upper question is completed and the lower question is converted. Preferably, when the upper question is completed and the lower question is converted, the result of the upper question is transmitted to the manager terminal. That is, when a node is converted from an upper node to a lower node, by notifying the manager in real time, the manager can check the reason leading to the in-depth analysis or the problem occurring at the place of the in-depth analysis in real time. Therefore, the manager can obtain information on the solution according to the result of the corresponding upper level question and can solve the problem promptly.

In the above, the invention made by the present inventors has been specifically described according to examples, but the present invention is not limited to the examples, and various changes are possible without departing from the gist of the invention.

Claims

In the multi-level survey system for in-depth analysis,

a response group classification unit that classifies respondents into a plurality of groups according to attributes;

a survey item designing unit that creates a questionnaire item, but configures the questionnaire item in a tree structure having at least two steps;

an attribute acquisition unit that acquires attributes of the responder;

a survey item selection unit that extracts a group to which the corresponding respondent belongs according to the attributes of the corresponding respondent, selects a survey item for that group, and selects a survey item in the tree structure; and,

A multi-step survey system for in-depth analysis comprising a survey response collection unit for presenting selected survey questions, receiving response data from the respondent, and collecting the response data as survey results.
According to claim 1,

The questionnaire item design unit configures the tree structure with nodes and edges, configures each node with a questionnaire item, connects an upper node (hereinafter referred to as an upper item) and a lower node (hereinafter referred to as a lower item item) with an edge,

The multi-step method survey system for in-depth analysis, characterized in that when the number of responses to the survey question in progress in the group reaches a predetermined reference value, the survey question selector selects a sub-item of the survey question.
According to claim 2,

The questionnaire design unit configures the edge in the tree structure to indicate a condition by a response item of a corresponding upper question, and not to overlap response items of an edge of a lower question with respect to the upper question;

The questionnaire selection unit extracts the response item having the largest number of responses from the corresponding questionnaire item, and selects a sub-question connected to the edge of the extracted response item as the next questionnaire questionnaire. system.
According to claim 1,

The multi-step survey system for in-depth analysis, characterized in that the survey question selector does not select the next survey question when there is no sub-question connected to the extracted response item by the edge.
According to claim 1,

The multi-step method survey system for in-depth analysis, characterized in that the questionnaire selection unit sets the reference value for each group.
According to claim 2,

The system further includes a result output unit for outputting a result of an upper question and transmitting the result to an administrator terminal when the upper question is completed and converted to a lower question. system.
According to claims 1 to 6,

The multi-level survey system for in-depth analysis, characterized in that the attributes include gender and age group.