TWI744343B - 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 generation platform

The present invention is a questionnaire generation platform, especially a questionnaire content that can be automatically generated corresponding to the answering experience of the respondent.

According to the questionnaire, the response (or answer) of a group of respondents who meet the target audience is given to a group of people who meet the target audience through a set of the same questionnaire, based on which the attitude or behavioral response of the whole group to a specific question can be estimated. This method is widely used in various application fields such as academic research, public opinion surveys, consumer opinion gathering, and marketing surveys. Therefore, questionnaire surveys are the most direct way for companies to judge market information or service status. Although they require more time and labor costs, they are still widely used.

However, since the questionnaire survey has a long history, most of the interviewees have been interviewed several times, especially if the same type of question has been answered several times. When the interviewee responds to the same question, it is easy to produce A sense of irritability, leading to the possibility of incorrect answers, losing the purpose of the questionnaire survey.

Furthermore, there are many difficulties in the design of the questionnaire, especially in the design of the question. How to obtain the required information from the question and judge the validity of the answer information is actually a problem for current users in the design of the question. .

In order to overcome the above situation, the present invention provides a platform that can assist users to complete questionnaires and questionnaire generation. The present invention can generate a questionnaire based on a database that has stored a plurality of questions or a question type module classified according to the question type, so that the answerer can choose or fill in the answer.

A questionnaire generation platform of the present invention includes: a questionnaire generator, a questionnaire generation interface, a plurality of question selection interfaces, a sequence adjustment module, a questionnaire modification module, a communication database, a questionnaire sending module, A data analysis module and a report generation unit.

Among them, the questionnaire generator is stored in a web server, and includes: a questionnaire generating interface and a plurality of questions. The questionnaire generation interface allows the user to connect to the device from the user side. The multiple question selection interfaces are classified into several question type modules according to the question types, and these question type modules are all stored in the web server. The order adjustment module sorts the question type modules or the questions. The questionnaire modification module is to modify these questions. And, the communication database includes a user database and an external database, both of which are stored in the network server or another network server for the user to select the 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 results, including: a report generating unit, which is used to generate relevant information after sending.

The questionnaire generation platform mentioned above can help users generate questionnaires, and perform questionnaire sending and information statistics, which facilitates the acquisition of relevant information.

The embodiment further includes a questionnaire distribution sample structure control module, root Analyze the number of questionnaires that have been received, and then adjust the number of questionnaires sent by the corresponding ethnic group based on the results for the analysis of the results of the questionnaire survey.

It is further mentioned in the embodiments that the present invention includes a recommendation module, through which the order of occurrence of problems is suggested.

It is mentioned in the embodiment that the recommendation module can further execute the following calculation formula to determine the recommendation order: first calculate a frequency of occurrence, which is calculated by dividing the total number of times the selected question appears by the selected question and the total number of times the same category appears combine. 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 in the question divided by the total number of occurrences of the question)*2+frequency. When the frequency of occurrence is less than or equal to 0.1, the calculation formula of a recommendation score is (the number of occurrences in the same category in the question divided by the total number of occurrences of the question) + frequency.

In the embodiment, it is mentioned that a keyword search system is further provided on the platform for users to search for questions.

The embodiment of the present invention further includes a question simplification module to determine whether the same answerer or other answerers who have worked for the same company as the answerer have answered the same question within a specified period of time. If so, then Before sending the questionnaire, delete the same question or bring in the answer corresponding to the same question before sending it out. This can simplify the number of answers and reduce the time required for answerers.

According to the embodiment of the present invention, the data analysis module further includes an answer cooperation degree analysis unit, which verifies and analyzes the answerer’s answers to confirm the answer quality, and uses the quality result as the judgment of the degree of cooperation. If the quality result is good, judge this Respondents have a high degree of cooperation and are recorded in the web server.

According to the embodiment of the present invention, the data analysis module further includes an answer coordination degree analysis unit, which is used to select answerers. If the answerers have no previous answer quality to refer to, the answer quality of the previous company colleague will be used as the judgment. .

The embodiment of the present invention mentions that the data analysis module further includes a score restoration unit, and the network server obtains the restoration score according to a calculation formula: original score + [(evaluation standard/original score)-1 ]=Recovery score; among them, the evaluation standard is a preset value or selected by the questioner.

Based on the above-mentioned many advantages, and in order to further understand the instinct of the examiner, a preferred embodiment is disclosed as follows. With the drawings and figure numbers, the composition of the present invention and the effects achieved by it are described in detail as follows:

P: Questionnaire generation platform

1: Questionnaire generator

2: Questionnaire generation 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: Analysis Unit of Answer Coordination

82: score reduction unit

9: report generation unit

10: Recommended modules

11: Keyword retrieval system

12: Short title module

13: Questionnaire distribution sample structure control module

Si: Number of recovered samples

Ni: Number of viable sales lists

Pi: target ratio

AdNi: Regulate the number of sent

S: Web server

D: User device

(There are faults, please fill in)

Figure 1 is a schematic diagram of the units of the questionnaire generation platform of this embodiment.

Figure 2 is a schematic diagram of the method flow of this embodiment.

Figure 3 is a schematic diagram of units of a questionnaire generation platform according to another embodiment.

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

Figure 5A is a line comparison chart of the differences in school performance scores.

Figure 5B is a line comparison chart of the differences in corporate assessment standards.

Figure 5C is the line comparison chart after the school performance score has been restored.

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

As shown in Figure 1, a questionnaire generation platform P of this embodiment includes: a questionnaire generator 1, a questionnaire generation interface 2, a question selection interface 3, a sequence adjustment module 4, a questionnaire modification module 5. A communication database 6, a questionnaire sending module 7, a data analysis module 8 and a report generation unit 9.

The questionnaire generator 1 is stored in a web server S, which includes a questionnaire generating interface 2 and a question selection interface 3. The questionnaire generation interface 2 allows the user to connect and operate from the user device D on the user side, and is used to provide a relevant operation interface to guide the user to complete the questionnaire. The question selection interface 3 is to categorize the number of questions into several question type modules according to the question types, and these question type modules are all stored in the network server S. The types can include basic information of alumni, workplace opinions (such as internship opinions, recruitment standards), learning opinions (such as licenses, departments), initial job search status, learning status, learning effectiveness, course opinions, corporate information, student information, Performance satisfaction, etc.

The order adjustment module 4 is used to sort the question type modules or the order of the questions or answers, so that when the questionnaire is filled out, information can be interleaved and confirmed to achieve validity confirmation.

The questionnaire modification module 5 modifies these questions, and allows the user to edit the content of the question through the user device D to meet the correctness of the content of the user's inquiry.

The communication database 6 includes a user database 61 and an external database 62, both of which are stored in the network server S or another network server for the user to select the object to be sent. In the user database 61, there are stored a plurality of respondent data collected and stored by the user. The external database 62 stores other user collections or platform operators’ Respondent information held.

The questionnaire sending module 5 is for the user to select the respondent data in the communication database 6, and send the questionnaire through an email system, a mobile communication system or a wireless communication system, and the respondent can open it through a computer device or a mobile device Responding to the website or application program, then the data analysis module 8 executes the report generating unit 9 according to the returned result, and the report generating unit 9 can be used to generate related information after sending.

The questionnaire generation platform P of the present invention can assist users in generating questionnaires, and perform questionnaire sending and information statistics, so that the preparation, sending, and data sorting of completed questionnaires can all be completed by this embodiment. Among them, applicable surveys include employer satisfaction surveys, graduate flow surveys, student learning effectiveness surveys, and internship satisfaction surveys.

Furthermore, as shown in FIG. 3, the server S further includes a recommendation module 10, through which the recommendation module 10 suggests the order of occurrence of problems. The recommendation module 31 can further execute the following calculation formula to calculate the recommendation score and then determine the recommendation order. First of all, first calculate an appearance frequency: an appearance frequency = the total number of appearances of the selected item divided by the sum of the total number of appearances of all the selected items.

When the frequency of occurrence calculated by the above formula is higher than 0.1, the calculation formula of a recommendation score is: a recommendation score = (the number of times the question appears in the same category divided by the total number of times the question appears in each category )*2+ Frequency of appearance.

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

In order to make the meaning of the above formula more clear, the department provides an example as a reference: For example: School A wants to conduct an employer satisfaction survey (Type A), the following three questions should be recommended to School A, and the recommendation order is calculated as follows:

Calculation formula: Recommendation 1=Importance*2+Frequency =(40/90)*2+90/(90+50+10) =0.89+0.6 =1.49

Recommendation 2=Importance*2+Frequency =(40/50)*2+40/(90+50+10) =1.6+0.27 =1.87

Recommendation 3=Importance+Frequency =(10/10)+10/(90+50+10) =1+0.07 =1.07

From the above formula, it is clear that the order of the results is 2>1>3. In other words, the recommended order is 2, 1, 3, so that the analysis results of the questionnaire can be completed quickly.

In the embodiment, it is mentioned that a keyword search system 11 is further provided on the platform P for users to search for questions, so that the users can quickly find the required questions. That is, as shown in Figure 4, set relevant text labels for each question (either manually input by the system or the system can cut words and find synonyms and then insert them). When users search for text, they can search from the labels. Corresponding problems to speed up the way users find problems.

The embodiment of the present invention further includes a question shortening module 12 for judging whether the same answerer or other answerers who have worked in the same company as the answerer have answered the same question within a specified period of time, if so, then Before sending the questionnaire, delete the same question before sending it out. This can simplify the number of answers and reduce the time required for answerers. Among them, the way to determine whether the same question has been answered within the specified time is by the platform P or the questionnaire sending module 7 to compare and confirm the data recorded in the sending record, that is, after completing the questionnaire sending, the platform P will send the record Save it for future comparison.

In addition, the above further includes an answer coordination degree analysis unit 81, which validates and analyzes the answers of the respondent to confirm the answer quality, that is, classifies the correctness of the answers or the degree of care, and uses the quality results as the judgment of the degree of coordination. If the accuracy is high or the intention is high, it is defined as good quality, otherwise it is defined as poor quality. When the quality result is good, the answerer is judged to have a high degree of cooperation and recorded in the web server. To further explain, in the design of the questionnaire, it is possible to grasp the "reverse questions for the questionnaire and the same question in the opposite way, and the preliminary screening of whether the user is serious or not", "analysis of the distribution of the answers and the time of the answers , Mark the answerers whose analysis results are outliers as inconscientious answerers", "for open questionnaires in the past, such as short answer questions, etc., conduct text exploration, create a questionnaire that does not cooperate with the vocabulary database, when the user fills in Open questions include multiple questionnaires that do not match the vocabulary, which means they are screened as unserious answerers, etc., which can be used as a method for judging the degree of cooperation. According to the analysis of the past answering situation, obtain the filling status of each company to facilitate the subsequent selection of the basis for selecting the company after filling in the questionnaire. In addition, analyze the background factors such as the company’s industry category, the number of company employees, the amount of company’s capital, the age, gender, and rank of the applicant, and select the background under which the applicant is more willing to fill in. Furthermore, the answer coordination degree analysis unit 81 is used to select answerers. If the answerer has no previous answer quality to refer to, it can be judged based on the answer quality of the colleague of the previous company of the selected answerer. That is to say, the platform will find the respondent’s previous company based on the respondent’s relevant information, and then compare it in the database to find his former colleague (can be restricted by the system whether it is the same period or the same department, etc.), through his former colleague The result of answering the question is used to judge whether the object to be invited to answer the question meets the requirements of the quality condition.

In addition, the data analysis module 8 includes a score restoration unit 82, which is obtained by the network server S or platform P according to the following formula: original score + [(evaluation standard/original score)-1] =Recovery score; among them, the evaluation standard is a preset value or selected by the questioner.

Please cooperate with Figure 5A, Figure 5B and Figure 5C to explain how to use the recovery score. Figure 5A is a comparison of score differences. In the figure, it can be seen that the scores of each school have little difference. From Figure 5B, it can be seen that the company has a higher level of requirements for graduates of National Taiwan University, but this is not possible. The self-score reflects the actual situation of each school. After calculating the reduction score, as shown in Figure 5C, if the "practical application ability" is used for calculation, the formula is as follows: Central Plains 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’s reduction score=4.09+[(4.02/4.09)-1]=4.09+(-0.02)=4.07 It can be found that in the "practical application ability" category, Chung Yuan Christian University and National Taiwan University have the same score It can break the old company's unfounded judgment based solely on impressions and improve the correctness of talent search.

Furthermore, the platform further includes a questionnaire distribution sample structure control module 13, which analyzes the number of questionnaires received, and then adjusts the number of questionnaires sent by the corresponding ethnic group according to the results, so as to analyze the results of the questionnaire survey. The questionnaire distribution sample structure control module 13 allows users to set variables, set target ratios, and adjust the number of marketing (number of deliveries) based on the number of collections. The variables can be "region", "industry" or "company size" , And setting the target ratio can be displayed corresponding to the selected variable. As shown in Figure 6, if the "region" variable is selected, the area name will be displayed for the user to set the target ratio for each area, and then , Adjust the marketing quantity according to the recovered quantity, that is, as shown in the figure, when the recovered sample number Si does not reach the target ratio Pi, the number of feasible sales lists Ni will be matched with the corresponding increase in the number of regulated sending AdNi, and the number of regulated sending AdNi will be increased. 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. It can be known that 3386 copies need to be sent to reach the set value of the target ratio Pi. In this way, the influence of the questionnaire on related variables can be controlled and the overall accuracy can be improved.

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

P‧‧‧Questionnaire generation platform

D‧‧‧User device

1, 2, 3, N‧‧‧Respondents

Claims (5)

A questionnaire generation platform includes: a questionnaire generator, which is stored in a network server, and includes: a questionnaire generation interface for users to connect to the device from the user side: a plurality of question selection interfaces, The question types are classified into several question type modules. These question type modules are stored in the network server; a recommendation module is executed and the order of the questions is suggested through the recommendation module. Among them, the recommendation The module uses the following formula to determine the recommended order: first calculate the frequency of occurrence, which is the total number of occurrences of the selected item divided by the sum of the total number of occurrences of all selected items, 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 question divided by the total number of occurrences of the question) * 2 + frequency of occurrence; when the frequency of occurrence is less than or equal to 0.1, a recommendation score The calculation formula of is: (the number of occurrences in the same category in the question divided by the total number of occurrences of the question) + frequency of occurrence; execute a sequence adjustment module, and perform these question type modules or these questions Sort; and, execute a questionnaire modification module to modify these questions; and, a communication database includes a user database and an external database, which are all stored in the network server or another In a web server, the user can choose the object to be sent; a questionnaire sending module is to send the questionnaire through an email system, a mobile communication system, or a wireless communication system according to the selected object. The selected object The subject can open the corresponding website or application via a computer device or a mobile device to answer and return; a data analysis module executes the following modules according to the returned results, including: A report generating unit is used to generate related information after sending. The questionnaire generation platform described in claim 1, wherein a keyword retrieval system is further provided. The questionnaire generation platform as described in claim 1, which further includes a question briefing module to determine whether the same answerer or other answerers who have worked in the same company as the answerer have answered the same question within a specified period of time If there are any questions, delete the same questions before sending the questionnaire. The questionnaire generation platform according to claim 1, wherein the data analysis module further includes an answer cooperation degree analysis unit, which verifies and analyzes the answers of the respondent to confirm the answer quality, and uses the quality result as the judgment of the degree of cooperation. If the result is good, the answerer is judged to be highly cooperative and recorded in the web server. For example, the questionnaire generation platform described in claim 4, in which the answer coordination analysis unit further selects the answerer, if the answerer has no previous answer quality to refer to, it will be judged based on the answer quality of the previous company colleague.

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