TW201905780A - A questionnaire generation platform - Google Patents

Abstract

The present invention is used to provide questionnaires for the user to investigate the market information or service status, greatly reduce the time of the questionnaire production, and enhance the smoothness of the fillers. The present invention can be used for the questionnaires to be selected or filled in by the questioner according to the database in which the plurality of problems have been stored or the question type modules classified according to the problem type. The questionnaire generating platform of the invention comprises a questionnaire generator, a questionnaire generating interface, a plurality of problem selecting interfaces, a sequential adjustment module, a questionnaire modification module, a communication database, a questionnaire sending module, a data analysis module with a report generation unit. Which can help users to quickly generate a questionnaire, and directly to the questionnaire and information statistics, conducive to the relevant information obtained.

Description

 Questionnaire production platform  

The invention is a questionnaire generating platform, in particular, a questionnaire content automatically generated corresponding to the answering experience of the respondent.

According to the questionnaire, through a set of the same questionnaire, a group of respondents (or answers) that meet the target respondents are used to estimate the attitude or behavioral response of a particular question. This method is widely used in various fields of application such as academic research, opinion polls, consumer opinion collection, and marketing research. Therefore, the questionnaire survey is the most direct way for companies to judge market information or service status. Although it takes more time and more labor costs, it is still widely used.

However, due to the long history of the questionnaire survey, most of the respondents have had several visits, especially the same type of questions have been answered several times. When the respondents reply to the same question, they are easy to produce. Annoying, leading to an answer may be incorrect, and the purpose of the questionnaire is lost.

Furthermore, the topic of the questionnaire is not easy to design, especially in the design of the topic, how to obtain the required information in the topic, and to judge the validity of the information in the question, which is really troublesome for the user in the design of the topic. .

In order to overcome the above situation, the present invention provides a generation platform that can assist a user in completing a questionnaire and a questionnaire. The invention can generate a questionnaire according to a database in which a plurality of questions are stored or a question type module classified according to the type of the question, so that the answering person can select or fill in the answer.

A questionnaire generating platform of the present invention comprises: a questionnaire generator, a questionnaire generating interface, a plurality of question selecting interfaces, a sequence adjusting module, a questionnaire modifying module, a communication database, a questionnaire sending module, A data analysis module and a report generation unit.

The questionnaire generator is stored in a network server, and includes: a questionnaire generating interface and a plurality of questions. The questionnaire generation interface is available for the user to connect to the device at the user end. A plurality of question selection interfaces are respectively classified into a plurality of question type modules according to problem types, and the question type modules are stored in the network server. The sequence adjustment module sorts the question modules or the questions. The questionnaire modification module is to modify these issues. And, the communication database includes a user database and an external database, which are stored in the network server or another network server for the user to select an object to be sent. The questionnaire sending module is sent according to the selected object. The data analysis module executes the following modules according to the returned result, including: a report generation unit, which is used to generate related information after the transmission.

Through the questionnaire generation platform mentioned above, the user can be assisted to generate a questionnaire, and the questionnaire is sent and the statistics of the information are facilitated to obtain related information.

In the embodiment, a questionnaire distribution module structure control module is further included, and the number of questionnaires received is analyzed, and the questionnaire transmission amount of the corresponding ethnic group is adjusted according to the result, thereby being used for analysis of the results of the questionnaire survey.

It is further mentioned in the embodiments that the present invention includes a recommendation module that suggests the order of occurrence of the problem through the recommendation module.

Referring to the embodiment, the recommendation module may further perform the following calculation formula to determine the recommendation order: first calculate an appearance frequency, and divide the total number of occurrences of the selected topic by the selected topic to calculate the total number of occurrences in the same category. Hehe. When the frequency of occurrence is higher than 0.1, the calculation formula of a recommended score is: (the number of occurrences in the same category within the problem divided by the total number of occurrences of the problem) *2+ frequency. When the frequency of occurrence is less than or equal to 0.1, then the calculation formula of a recommended score is (the number of occurrences in the same category within the problem divided by the total number of occurrences of the problem) + frequency.

It is mentioned in the embodiment that a keyword retrieval system is further set up on the platform for the user to search for the problem.

The embodiment of the present invention further includes a simple module for determining whether the same answerer or other respondents who have worked with the respondent in the same company answered the same question within a specified time, and if so, Before the questionnaire is sent, the same question will be deleted or the answer corresponding to the same question will be brought in and sent out. This will streamline the number of answers and reduce the time required for respondents.

In the embodiment of the present invention, the data analysis module further includes a question-matching degree analysis unit, and the answerer's answer is verified and analyzed to confirm the answer quality, and the quality result is used as the judgment of the cooperation degree. If the quality result is good, the judgment is made. The answerer has a high degree of cooperation and is recorded in the web server.

In the embodiment of the present invention, the data analysis module further includes a question matching degree analysis unit, which is used when selecting the answerer, and if the answerer has no previous answer quality, the judgment is based on the quality of the answer of the colleague of the previous company. .

The embodiment of the present invention further includes that the data analysis module includes a score reduction unit, and the network server obtains a restoration score according to an algorithm: the original score + [(evaluation standard/original score)-1 ] = Restore score; where the assessment criteria are preset or selected by the questioner.

Based on the above-mentioned advantages, and in order to make the reviewer further understand the instinct, a preferred embodiment is disclosed as follows. The composition of the present invention and the functions achieved by the present invention are described in detail below with reference to the drawings and figure numbers:

P‧‧‧ Questionnaire production platform

1‧‧‧ Questionnaire Generator

2‧‧‧ Questionnaire interface

3‧‧‧Question selection interface

4‧‧‧Sequence adjustment module

5‧‧‧ Questionnaire Modification Module

6‧‧‧Communication database

61‧‧‧User database

62‧‧‧External database

7‧‧‧ Questionnaire Sending Module

8‧‧‧Data Analysis Module

81‧‧‧answer matching degree analysis unit

82‧‧‧Score reduction unit

9‧‧‧Report generating unit

10‧‧‧Recommended module

11‧‧‧Keyword Retrieval System

12‧‧‧ title simple province module

13‧‧‧ Questionnaire issuance of sample structure control module

Si‧‧‧Recovered samples

Ni‧‧‧ number of feasible sales lists

Pi‧‧‧ target ratio

AdNi‧‧‧Controls the number of transmissions

S‧‧‧Web server

D‧‧‧User device

(There are some leaks, please add up)

FIG. 1 is a schematic diagram of a unit of a questionnaire generating platform of the present embodiment.

Figure 2 is a schematic flow chart of the method of the present embodiment.

Figure 3 is a schematic diagram of a unit of a questionnaire generation platform of another embodiment.

Figure 4 is a schematic diagram of the keyword label description.

Figure 5A is a comparison of the folds of the school performance scores.

Figure 5B is a comparison of the fold lines of the company's evaluation criteria.

The 5C chart is a comparison chart of the broken lines after the school performance score reduction score.

Figure 6 is a schematic diagram of the setting and calculation results of the sample structure control module for questionnaires.

Referring to FIG. 1 , a questionnaire generation platform P of the embodiment includes: a questionnaire generator 1 , a questionnaire generation interface 2 , a question selection interface 3 , a sequence adjustment module 4 , and a questionnaire modification module 5 . A communication database 6, a questionnaire sending module 7, a data analyzing module 8 and a report generating unit 9.

The questionnaire generator 1 is stored in a network server S, which includes a questionnaire generation interface 2 and a question selection interface 3. The questionnaire generation interface 2 is available for the user to operate from the user device D of the user end to provide a related operation interface to guide the user to complete the questionnaire. The problem selection interface 3 classifies the problem questions into a plurality of question modules according to the problem type, and the question modules are stored in the network server S. The types may include basic information of alumni, workplace opinions (such as internship opinions, recruitment criteria), learning opinions (such as licenses, departments), initial job search status, learning status, learning effectiveness, course opinions, corporate materials, student materials, Performance satisfaction and so on.

The sequence adjustment module 4 is used to sort the questions module or the order of the questions or answers, so that when the questionnaire is filled in, the information can be interleaved and confirmed to confirm the validity.

The questionnaire modification module 5 modifies the problems, and the user can edit the problem content through the user device D to conform to the correctness of the user's inquiry content.

The communication database 6 includes a user database 61 and an external database 62, which are stored in the network server S or another network server for the user to select an object to be sent. In the user database 61, a plurality of answerer data collected and stored by the user are stored. The external database 62 stores information collected by other users or by the platform operator.

The questionnaire sending module 5 is for the user to select the answerer data in the communication database 6, and send the questionnaire through the email system or the mobile communication system or the wireless communication system, and the answerer can be opened via the computer device or the mobile device. Corresponding to the website or the application, the data analysis module 8 executes the report generation unit 9 according to the result of the return, and the report generation unit 9 can be used to generate the related information after the transmission.

The questionnaire generating platform P of the present invention can assist the user to generate a questionnaire, and perform the questionnaire sending and information statistics, so that the operation of the questionnaire, the sending and the completion of the data finishing after the completion of the questionnaire can be completed by the embodiment. Among them, applicable surveys include employer satisfaction survey, graduate flow survey, student learning effectiveness survey, and internship satisfaction survey.

Further, as shown in FIG. 3, the server S further includes a recommendation module 10, and the recommendation module 10 suggests the order in which the problems occur. The recommendation module 31 may further perform the following calculation formula to determine the recommendation order: an appearance frequency = the total number of occurrences of the selected topic divided by the total number of occurrences of the selected topic in the same category.

When the frequency of occurrence calculated by the above formula is higher than 0.1, the calculation formula of a recommended score is: a recommended score = (the number of occurrences in the same category within the problem divided by the total number of occurrences of the problem) * 2+ frequency.

When the frequency of occurrence calculated by the formula is less than or equal to 0.1, the calculation formula of a recommended score is: a recommended score = (the number of occurrences in the same category in the problem divided by the total number of occurrences of the problem) + frequency .

In order to make the meaning of the above formula clearer, an example is provided as a reference: for example: A school wants to conduct an employer satisfaction survey (Class A). There are three questions below. How do you decide the order of recommendation?

From the above formula, the order in which the results are clearly obtained is 2>1>3, in other words, the recommended order is 2, 1, 3, whereby the analysis result of the questionnaire can be quickly completed.

It is mentioned in the embodiment that a keyword retrieval system 11 is further provided for the platform P for the user to search for problems, thereby allowing the user to quickly find the desired problem. That is, as shown in Fig. 4, the relevant text labels are set for each question (can be manually input by the system or the system can cut words and find synonyms again), and when the user searches for text, the corresponding tags can be searched for. The problem to speed up the way users look for problems.

The embodiment of the present invention further includes a topic simple module 12 for determining whether the same answerer or other answerees who have worked with the respondent in the same company answered the same question within a specified time, and if so, Before the questionnaire is sent, delete the same question before sending it. This will streamline the number of answers and reduce the time required for respondents. The method for judging whether the same question has been answered within a specified time is determined by the platform P or the questionnaire sending module 7 according to the data recorded in the sending record, that is, after the questionnaire is sent, the platform P will send the record. Store for future comparisons.

Moreover, the method further includes a question-matching degree analysis unit 81, and the answerer's answer is verified and analyzed to confirm the answer quality, that is, the correctness of the answer or the degree of intention is classified, and the quality result is used as the judgment of the degree of cooperation. If the correctness is high or the degree of intention is high, it is defined as good quality, otherwise it is defined as poor quality. When the quality result is in a good state, it is judged that the respondent has a high degree of cooperation and is recorded in the network server. To further explain, in the design of the questionnaire, we can grasp the "reverse question for the questionnaire and the opposite question for the same topic, the initial screening of the user's seriousness or not", "analysis of the distribution status and time of answering" , the results of the analysis are marked as unsuccessful respondents for the outliers, and "search for open questions in the past questionnaires such as short answer questions, etc., the questionnaire is not matched with the vocabulary database, when the user fills in The open topic includes multiple questionnaires that do not match the vocabulary, that is, the screening is not a serious answerer, etc., and can be used as a way to judge the degree of cooperation. According to the past analysis of the situation, the company completed the status of the company to facilitate the follow-up selection of the basis for the company after completing the questionnaire. In addition, according to the background factors of the company's industry, the number of employees, the company's capital, the age of the person, the gender, the rank, etc., it is necessary to select the background in which the applicants are more willing to fill out.

Furthermore, the answer matching degree analyzing unit 81 is used to select the answering person. If the answering person has no previous answering quality, the judgment may be based on the quality of the answer of the colleague of the selected company. That is, the platform will find the former company of the respondent according to the relevant information of the respondent, and then compare the database to find the former colleague (can be restricted by the system for the same period or the same department), through the former colleague The result of the answer is used as a criterion for judging whether the object to be invited to the question meets the quality condition.

Moreover, the data analysis module 8 includes a score restoration unit 82, and the network server S or the platform P obtains a restoration score according to the following formula: the original score + [(evaluation standard/original score)-1] = Restore score; where the assessment criteria are preset or selected by the questioner.

Please refer to Figure 5A, Figure 5B and Figure 5C for the use of the reduction score. Figure 5A shows the difference in scores. In the figure, it can be found that the scores of the schools are not much different. From the picture 5B, it can be seen that the level of demand for graduates of the National Taiwan University is higher, but this is not possible. Self-scores reflect the actual situation of each school. After the calculation of the reduction score, as shown in Figure 5C, if the calculation is based on the "practical application ability", the calculation formula is as follows: Zhongyuan University reduction score = 4.15 + [(4.3/4.15)-1] = 4.15 + 0.04=4.19 National Taiwan University reduction score=4.12+[(4.42/4.12)-1]=4.12+0.07=4.19 Lanyang Institute of Technology reduction score=4.09+[(4.02/4.09)-1]=4.09+(-0.02 ) =4.07 After this, we can find that the scores of the "Practical Application Capabilities" category are the same for the Central Plains University and the National Taiwan University, so as to break the unfounded judgment basis of the old companies based on their impressions and improve the correctness of talent search. .

Furthermore, the platform further includes a questionnaire distribution sample structure control module 13, which analyzes according to the number of questionnaires received, and then adjusts the questionnaire transmission amount of the corresponding ethnic group according to the result, so as to analyze the results of the questionnaire survey. The questionnaire distribution sample structure control module 13 can set the variable number, set the target ratio, and adjust the number of sales (send number) according to the amount of the collected quantity, wherein the variable can be "region", "industry" or "company size". And the target ratio can be displayed according to the selected variable. As shown in Fig. 6, if the "region" variable is selected, the region name is displayed, and then the user sets the target ratio for each region, and then According to the quantity of the recovered quantity, the quantity of the sales is adjusted. As shown in the figure, when the number of samples that have been recovered does not reach the target ratio Pi, the number of feasible sales lists Ni is increased correspondingly to increase the number of transmissions AdNi, and the number of transmissions is adjusted to AdNi. The calculation formula is:

Calculated by the number of north-north base: 3922*{1-[6.68%-(-6.99%)]}=3922*(1-13.67%)=3922*86.33%=3386. In this way, it can be known that 3386 copies need to be sent again to reach the set value of the target ratio Pi. In this way, the influence of the questionnaire on the relevant variables can be controlled to improve the overall accuracy.

In summary, it is only an embodiment of the present invention, which can be derived from a wide range of applications, and the multiplication of production efficiency can also take into account the production cost, and has industrial utilization value. Any simple conversion or equivalent conversion that is the same as the technical idea of the present invention is within the scope of the patent of the present invention.

Claims (9)

 A questionnaire generating platform includes: a questionnaire generator stored in a network server, comprising: a questionnaire generating interface for the user to connect the device from the user end: a plurality of question selection interfaces, Each of the problem types is classified into a plurality of question type modules, and the question type modules are stored in the network server; a sequence adjustment module is executed, and the question type modules or the problems are performed. Sorting; and executing a questionnaire modification module to modify the problems; and, a communication database, including a user database and an external database, all stored in the network server or another In a network server, the user selects an object to be sent; a questionnaire sending module transmits according to the selected object; a data analysis module executes the following modules according to the returned result, including: The report generation unit is configured to generate related information after the transmission.    The questionnaire generation platform of claim 1, further comprising a recommendation module, by which the order of the questions is suggested.    The questionnaire generation platform according to claim 2, wherein the recommendation module further performs the following calculation formula to determine a recommendation order: first calculating an appearance frequency, which is calculated by dividing the total number of occurrences of the selected topic by the selected topic. The total number of occurrences of the category. When the frequency of occurrence is higher than 0.1, the calculation formula of a recommendation score is: (the number of occurrences in the same category in the problem divided by the total number of occurrences of the problem) *2+ frequency The frequency of occurrence of the above-mentioned push; When the frequency of occurrence is less than or equal to 0.1, the calculation formula of a recommended score is (the number of occurrences in the same category in the problem divided by the total number of occurrences of the problem) + frequency.    The questionnaire generation platform according to claim 3, wherein a keyword retrieval system is further provided.    The questionnaire generating platform according to claim 1, further comprising a title simple module for determining whether the same answerer or other answerees who have worked with the respondent in the same company answered the same time within a specified time. The question, if any, will be sent out before the questionnaire is sent. (ie corresponding to the example on page 18)    The questionnaire generation platform according to claim 1, wherein the data analysis module further comprises a question-matching degree analysis unit, wherein the answerer answers the verification analysis to confirm the answer quality, and the quality result is used as the judgment degree, if the quality If the result is good, it is judged that the respondent has a high degree of cooperation and is recorded in the network server. (ie corresponding to the example on page 21)    The questionnaire generation platform according to claim 1, wherein the data analysis module further comprises a question matching degree analysis unit, wherein when the answerer is selected, if the answerer has no previous answer quality, the former company is The quality of the colleague's answer is judged. (ie corresponding to the example on page 22)    The questionnaire generation platform of claim 1, wherein the data analysis module further comprises a score reduction unit, wherein the network server obtains a reduction score according to an algorithm: the original score + [(evaluation standard) /original score)-1]=Restore score; wherein the assessment criteria are preset or selected by the questioner.   The questionnaire generation platform of claim 1, wherein the data analysis module further comprises a questionnaire distribution sample structure control module for using a number of recovered samples (Si) and a list of feasible sales lists (Ni) Calculate a control transmission number (AdNi) with a set of variables, a target ratio (Pi) corresponding to the variable, and the formula is: