JP6399420B2 - Information processing apparatus and information processing method - Google Patents

Description

The present invention relates to an information processing apparatus and an information processing how.

  With the sophistication and complexity of business, the operations performed by each company are subdivided into various tasks. As a result, it is difficult to grasp how much human or time investment has been made for each work in the business, that is, it becomes difficult to visualize the efficiency of the business and prevent the discovery of improvement items such as business waste. ing.

  In view of the above circumstances, various proposals have been made regarding methods for investigating the efficiency of work. For example, Patent Document 1 proposes an analysis device that detects the position of each salesperson in the office by means of human position detection means using RFID (Radio Frequency Identifier) tags in sales operations and analyzes the behavior of each salesperson. Has been. Further, Patent Document 2 proposes an analysis apparatus that uses RFID tags in manufacturing operations and identifies the worker and work time of each work to evaluate work efficiency.

JP 2007-219787 A JP 2009-289134 A

  In the inventions according to Patent Documents 1 and 2, an RFID tag and a sensor device for detecting radio waves emitted from the tag are necessary, and the cost tends to increase when the system is introduced. In addition, the distance range in which the investigation can be performed is limited, such as in the office in Patent Document 1 and in the manufacturing site in Patent Document 2.

  The present invention has been made under such circumstances, and an object thereof is to provide an information processing apparatus and an information processing method capable of easily and appropriately examining the efficiency of business.

An information processing apparatus according to the present invention is an information processing apparatus for investigating work efficiency, and determines a timing for transmitting a questionnaire asking about work performed by a target subject to be investigated in the work. And a calculation unit that calculates the number of necessary answers required for the survey according to the number of the target persons, the number of responses per predetermined period for the questionnaire, and the implementation period for performing the survey, and the calculation unit calculated by the calculation unit A transmission unit that transmits the questionnaire to the information processing terminal of the target person at a timing determined by the determination unit until the required number of answers is reached, a reception unit that receives a response transmitted from the information processing terminal, and the reception A totaling unit that counts the number of responses received by the unit, and a determination to determine whether an error in occurrence probability of a specific task or work group is less than a threshold based on the totaling result by the totaling unit And when the determination unit determines that the error of the occurrence probability is less than a threshold after the transmission unit starts transmitting the questionnaire, the calculation unit calculates the number of required answers based on the occurrence probability. And the transmission unit transmits the questionnaire until the number of remaining responses obtained by subtracting the number of responses already counted by the counting unit from the required number of responses calculated by the calculating unit is reached .

  In the information processing apparatus according to the present invention, the calculation unit multiplies the number of subjects, the number of responses per predetermined period, and the implementation period, and the predicted response that is predicted to be totaled by the totaling unit And calculating a required number of answers according to the set reliability.

  The information processing apparatus according to the present invention includes a generation unit that generates statistical data indicating a probability of occurrence of each work or work group when the number of answers received by the reception unit reaches the required number of answers. And

  The information processing apparatus according to the present invention is characterized in that the generation unit generates the statistical data in accordance with an attribute of the subject.

  An information processing apparatus according to the present invention includes a reliability calculation unit that calculates a statistical reliability for each work or work group with respect to the occurrence probability of each work or work group indicated by the statistical data, and the reliability calculation unit. And an output unit that outputs the statistical data indicating the breakdown of the work or the work group in a display mode according to the reliability calculated.

  The information processing apparatus according to the present invention includes a receiving unit that receives designation of the subject or the implementation period, and the generation unit generates the statistical data of the designated subject or the implementation period. .

The information processing method according to the present invention is an information processing method for investigating the efficiency of work using a computer, and asks the computer about the work currently being conducted in the work by the target person to be investigated. The number of necessary answers required for the survey is calculated according to the number of the target persons, the number of answers per predetermined period for the questionnaire, and the implementation period for conducting the survey, and the calculated The questionnaire is transmitted to the information processing terminal of the target person at the determined timing until the required number of answers is reached, the answers transmitted from the information processing terminal are acquired , the number of acquired answers is totaled, and the total result is obtained. On the basis of the occurrence probability error of a specific work or work group is less than a threshold, and after starting to send the questionnaire, the occurrence probability error When it is determined that it is less than the threshold, the required number of answers is calculated based on the occurrence probability, and the questionnaire is transmitted until the number of remaining answers obtained by subtracting the number of answers already counted from the calculated required number of answers is reached. Processing is executed .

  An information processing apparatus according to the present invention is an information processing apparatus for investigating work efficiency, and determines a timing for transmitting a questionnaire asking about work performed by a target subject to be investigated in the work. A transmitting unit that transmits the questionnaire to the information processing terminal of the target person at a timing determined by the determining unit, a receiving unit that receives an answer transmitted from the information processing terminal, and an answer received by the receiving unit And a generation unit that generates statistical data indicating the occurrence probability of each work or work group, and regarding the occurrence probability of each work or work group indicated by the statistical data, the statistical reliability is classified for each work or work group. A reliability calculation unit for calculating, and an output unit for outputting the statistical data indicating a breakdown for each work or work group in a display mode according to the reliability calculated by the reliability calculation unit. And butterflies.

  According to the present invention, it is possible to easily and appropriately investigate business efficiency.

It is a schematic diagram which shows the structural example of an information processing system. It is explanatory drawing which shows an example of the record layout of a time table. It is explanatory drawing which shows an example of the record layout of customer DB. It is explanatory drawing which shows an example of the record layout of statistics DB. It is explanatory drawing which shows an example of a business table. It is explanatory drawing which shows an example of the mail screen displayed on a terminal. It is explanatory drawing for demonstrating the relationship between statistical reliability and the number of required answers. It is explanatory drawing for demonstrating the total process of an answer. It is explanatory drawing which shows an example of statistical data. It is a flowchart which shows an example of the process sequence of information processing system. It is explanatory drawing which shows an example of the process sequence of the subroutine of a reliability setting. It is explanatory drawing which shows an example of the record layout of customer DB which concerns on Embodiment 2. FIG. It is explanatory drawing which shows an example of the record layout of statistics DB which concerns on Embodiment 2. FIG. 6 is an explanatory diagram illustrating an example of statistical data according to Embodiment 2. FIG. 10 is a flowchart illustrating an example of a processing procedure of the information processing system according to the second embodiment. It is explanatory drawing which shows an example of the record layout of statistics DB which concerns on Embodiment 3. FIG. 10 is an explanatory diagram illustrating an example of a mail screen according to Embodiment 3. FIG. 10 is a flowchart illustrating an example of a processing procedure of the information processing system according to the third embodiment. It is explanatory drawing which shows an example of the statistical data which concerns on Embodiment 4. 15 is a flowchart illustrating an example of a processing procedure executed by the information processing system according to the fourth embodiment.

Hereinafter, the present invention will be described in detail with reference to the drawings illustrating embodiments thereof.
(Embodiment 1)
In the present embodiment, an information processing system that implements a service for investigating the efficiency of business operations will be described as an example. A client who requests a survey related to the efficiency of the company's business will be referred to as a client company below. FIG. 1 is a schematic diagram illustrating a configuration example of an information processing system. The information processing system includes an information processing apparatus 1, information processing terminals 2, 2, 2... And a person in charge terminal 3 that are connected to each other via a network N. The network N is the Internet, a LAN (Local Area Network) or the like.

  The information processing apparatus 1 is an information processing apparatus that stores various types of information and transmits and receives information via the network N. The information processing apparatus 1 is, for example, a server computer or a personal computer. In the present embodiment, the information processing apparatus 1 is assumed to be a server computer and is read as the server 1. The server 1 transmits, to the information processing terminal 2, an email containing a questionnaire asking about the work that the employee (target person) of the customer company that is the subject of the survey is conducting in the work at a predetermined timing. The server 1 receives a reply mail returned in response to the transmitted mail, and counts the number of answers for the answers of the target person to the questionnaire. As a result, the server 1 grasps the contents of the work performed by the target person and performs a statistical survey on the efficiency of the work.

  The information processing terminal 2 is a terminal device possessed by each target person, and is, for example, a smartphone, a mobile phone, a personal computer, or the like. In the present embodiment, the information processing terminal 2 is assumed to be a smartphone, and will be read as the terminal 2 below for the sake of brevity. The terminal 2 receives the mail transmitted from the server 1, accepts input of an answer to the questionnaire indicated by the mail, and transmits a reply mail to the server 1.

  The person-in-charge terminal 3 is an information processing terminal used by a customer person in charge who requests a survey related to this service, and is a personal computer, for example. For example, after the survey is completed, the server 1 generates statistical data to be described later with respect to the survey result, and transmits it to the person-in-charge terminal 3. As a result, the client company can obtain a survey result on the efficiency of its business.

The server 1 includes a control unit 11, a storage unit 12, a communication unit 13, a clock unit 14, and a mass storage device 15.
The control unit 11 includes an arithmetic processing device such as a CPU (Central Processing Unit) or an MPU (Micro-Processing Unit). The control unit 11 performs various information processing or control processing related to the server 1 by reading and executing the program stored in the storage unit 12.

  The storage unit 12 includes memory elements such as a RAM (Random Access Memory) and a ROM (Read Only Memory). The storage unit 12 stores a program or data necessary for the control unit 11 to execute the processing according to the present embodiment. The storage unit 12 temporarily stores data and the like necessary for the control unit 11 to execute arithmetic processing. The storage unit 12 stores a time table 121. The time table 121 is a table in which the time for transmitting mail from the server 1 to the terminal 2 is determined for each day.

The communication unit 13 includes a processing circuit for performing processing related to communication, and transmits and receives information to and from the terminal 2 and the person in charge terminal 3 via the network N.
The clock unit 14 measures time and gives the measured time to the control unit 11.

The large capacity storage device 15 is a large capacity storage device including, for example, a hard disk. The mass storage device 15 stores a customer DB 151, a statistics DB 152, and the like. The customer DB 151 stores customer information necessary for generating a questionnaire. The statistics DB 152 stores the total results regarding the answers transmitted from the terminal 2.
In the present embodiment, the storage unit 12 and the mass storage device 15 may be configured as an integrated storage device. Further, the mass storage device 15 may be composed of a plurality of storage devices. The mass storage device 15 may be an external storage device connected to the server 1.

  In the present embodiment, the server 1 is not limited to the above configuration. For example, an input unit that receives an operation input, a display unit that displays information related to the server 1, a reading unit that reads information stored in a portable storage medium, and the like May be included.

The terminal 2 includes a control unit 21, a storage unit 22, a communication unit 23, a display unit 24, and an input unit 25.
The control unit 21 includes an arithmetic processing unit such as a CPU or MPU, and performs various information processing or control processing related to the terminal 2 by reading and executing a program stored in the storage unit 22.

  The storage unit 22 includes memory elements such as a RAM and a ROM, and stores programs or data necessary for the control unit 21 to execute processing. The storage unit 22 temporarily stores data and the like necessary for the control unit 21 to execute arithmetic processing. In addition, the storage unit 22 stores a program A that is an application program for sending and receiving mail according to the present embodiment.

  The communication unit 23 includes an antenna and a communication processing circuit. More specifically, the communication unit 23 performs communication via a mobile phone network, a wireless LAN, or the like. In the present embodiment, the communication method of the communication unit 23 is not limited to the above, and may be performed by a wired LAN, for example.

  The display unit 24 has a screen such as a liquid crystal display or an organic EL (Electro Luminescence) display, and displays an image given from the control unit 21.

  The input unit 25 is a touch panel or a push button provided on the display unit 24, and receives an operation input by the subject. The input unit 25 notifies the control unit 21 of the operation content performed by the subject.

  In the present embodiment, the terminal 2 is not limited to the above configuration, and may include, for example, a microphone and a speaker that input and output audio, a camera that captures an image, and the like.

  FIG. 2 is an explanatory diagram showing an example of the record layout of the time table 121. The time table 121 includes a number of days column, a time column, and a number column. The number of days column stores the number of days after the start of the survey. The time string stores a predetermined time in association with the number of days. The number string stores a random number having no regularity in association with the number of days and the time. When sending mail related to the questionnaire to the terminal 2, the server 1 refers to the time table 121 and determines the timing (time) of sending the mail.

  FIG. 3 is an explanatory diagram showing an example of the record layout of the customer DB 151. The customer DB 151 includes an ID column, a customer name column, a target number column, a daily answer number column, an implementation period column, a terminal ID column, and an address column. The ID column stores an ID indicating each customer company who is the client of the survey. The customer name column stores the name of each customer company in association with the ID. The target number column stores the number of target persons to be surveyed, that is, the number of employees who answer the questionnaire at each customer company, in association with the ID. The daily answer number column stores the number of answers per day that each target person answers to the questionnaire in association with the ID. The implementation period column stores an implementation period in which the survey is performed in association with the ID. The terminal ID column stores a terminal ID for identifying each subject person's terminal 2 in association with the customer company ID stored in the ID column. The number of terminals 2, 2, 2,... Related to the terminal ID stored in the terminal ID column may be equal to or greater than the number of people corresponding to the number of people stored in the target number column. Also good. The address string stores a mail address related to the terminal 2 in association with the terminal ID.

  FIG. 4 is an explanatory diagram showing an example of the record layout of the statistics DB 152. The statistical DB 152 includes an ID column, a work column, a classification column, a classification column, a response number column, a ratio column, and a reliability column. The ID column stores the ID of each customer company. The work column stores each work obtained by subdividing the business of the customer company in association with the ID. Note that the work stored as “NULL” means that the work is not defined with specific contents.

  The classification column and the division column store classification and division names obtained by grouping each work into a predetermined work group according to the work contents. The work group is a set of a plurality of works, and includes concepts of classification and division in the present embodiment. The classification column stores the name of the classification to which each work belongs in association with the work. The classification is defined by, for example, “value creation”, “business asset acquisition”, “thinking / judgment”, and the like. The category column stores the name of the category to which each work and class belongs in association with the work and the class. The classification is defined by, for example, “basic business” and “auxiliary business”.

  The number-of-responses column stores the number of replies of responses indicating that the target person is performing the work in association with the work. For example, according to FIG. 4, it is understood that the number of responses indicating that the “customer keyman search” operation is being performed is one.

The ratio column stores the group division ratio and the task ratio of the work group related to the classification in association with the classification stored in the classification column. The pair ratio is obtained by dividing the total number of responses for each task related to the associated category by the total number of responses for each task related to the category including the category. Therefore, the ratio to classification means the ratio (ratio) of performing work related to a specific classification (for example, “acquisition of business assets”) when the target person engages in operations related to a predetermined classification (for example, “basic business”). To do. The business-to-business ratio is obtained by dividing the total number of responses of each task related to the associated classification by the total number of responses related to all businesses. As a result, the business-to-business ratio means the ratio (ratio) at which the target person performs work related to a specific classification in business.
The reliability column stores the statistical reliability of the survey results obtained by investigating the business of each customer company in association with the ID.

  FIG. 5 is an explanatory diagram illustrating an example of a business table. The work table shows each work divided into work. As shown in FIG. 5, the column of the work table shows the classification of each work into “value creation”, “business asset acquisition”, “thinking / judgment”, etc., and the row of the work table shows each work as “basic work” and “ The subdivision is divided into “subsidized work”. Note that the classification and division are for convenience in order to divide the predetermined work group in the business so that it can be easily grasped as a list, and each work may be grouped according to criteria other than the classification and division shown in FIG. Good. Further, as long as business efficiency can be appropriately evaluated without grouping, it is not necessary to group each work into work groups related to classification and division.

  In the present embodiment, the server 1 investigates the efficiency of the work by examining the ratio (ratio) of each work and work group illustrated in FIG. 5 in the work. Specifically, the server 1 transmits an email containing a questionnaire asking about the work the target person is performing in the business to the terminal 2 and receives a reply email containing the answer to the questionnaire from the terminal 2. The server 1 counts the number of responses for each work, and generates statistical data indicating the probability of occurrence of each work in the work for each classification. The occurrence probability is a probability that a specific event occurs among all events. Below, the outline | summary of the process of the information processing system which concerns on the said investigation is demonstrated first. In the following description, it is assumed that the processing entity of the server 1 is the control unit 11 and the processing entity of the terminal 2 is the control unit 21 for convenience of explanation.

  Before starting the survey, the control unit 11 of the server 1 stores (sets) in the customer DB 151 the number of subjects to be surveyed, the number of responses per day, and the implementation period for conducting the survey. For example, the server 1 may accept settings via the person-in-charge terminal 3 or may accept settings from other terminal devices.

  When the investigation is started, the control unit 11 refers to the time table 121 and determines the timing for transmitting the mail to the terminal 2. Specifically, for example, when the number of answers per day is five, the control unit 11 reads the time associated with the numbers 1 to 5 related to the number sequence of the time table 121. When the read time (12:12 (No. 4), 12:55 (No. 1), 16:51 (No. 5)...) Is reached, the control unit 11 sends an email containing a questionnaire regarding the survey. Are transmitted to the terminals 2, 2, 2,. Specifically, for example, the control unit 11 refers to the customer DB 151 and randomly extracts terminal IDs corresponding to the number of persons from a plurality of terminal IDs stored in the terminal ID string according to the number of persons stored in the number of persons column. The control unit 11 transmits a mail to the terminals 2, 2, 2,... Related to the extracted terminal ID.

  FIG. 6 is an explanatory diagram illustrating an example of a mail screen displayed on the terminal 2. When a mail is received from the server 1, the control unit 21 of the terminal 2 executes the program A and displays the mail screen shown in FIG. The mail screen includes a questionnaire 40 in addition to a send button 43 for sending a reply mail to the server 1.

The questionnaire 40 is a questionnaire that asks about the work that the target person is currently performing. The questionnaire 40 includes a message 41 and a plurality of answer buttons 42, 42, 42. The message 41 is a message to the subject indicating that the work performed by the subject should be selected from the plurality of answer buttons 42, 42, 42. The answer button 42 is an icon button indicating answer options for the questionnaire 40. As shown in FIG. 6, the answer button 42 displays the work contents of each work in the work, specifically, text indicating the work name. By receiving a touch input to one answer button 42 among the plurality of answer buttons 42, 42, 42..., The control unit 21 receives an answer indicating the work contents currently being performed by the subject. In addition, since the target person may be performing two or more tasks in parallel, the control unit 21 may be configured to accept touch input to the two or more answer buttons 42. When the touch input to the send button 43 is received, the control unit 21 transmits a reply mail containing the answer related to the answer button 42 that has been touch-input to the server 1. In addition, as will be described in detail later, the control unit 21 receives the mail again at different timings determined by the server 1 based on the time table 121 until the answers received by the server 1 reach the required number of answers necessary for the survey, The answer button 42 and the message 41 are displayed again on the display unit 24.
The questionnaire 40 may include not only the message 41 and the answer button 42 but also, for example, a text box for the target person to comment on the questionnaire 40.

  When the reply mail is received, the control unit 11 of the server 1 reads the reply mail and determines the work indicated by the answer. In the statistical DB 152, the control unit 11 adds 1 to the number of answers associated with the determined work and stores it. In addition, the control unit 11 calculates a pairing ratio, a work ratio, and the like for each classification and stores them in the statistics DB 152. The information processing system repeats the above processing and counts the number of answers.

Here, the process in which the server 1 calculates the required number of answers necessary for the investigation will be described. FIG. 7 is an explanatory diagram for explaining the relationship between the statistical reliability and the required number of answers. FIG. 7 shows a table of calculation results of the required number of answers at a predetermined reliability (68%, 95%) and a normal distribution diagram. In the following description, it is assumed that the number of answers that the server 1 collects by survey is sufficiently large, and the statistical distribution of the collected answers is a normal distribution.
In general, when a statistical survey (for example, a questionnaire survey) is performed, the number of necessary answers required for the survey is determined in advance, and the necessary number of answers is collected from the target person. In this case, the required number of answers is calculated according to the reliability related to the survey. The reliability represents the reliability of the statistical estimation when a certain number of samples (samples) are taken out from a predetermined population and statistical estimation of the population is performed. For example, if a statistical survey is performed with a reliability of 95%, it means that the average value of the population is included in the survey results with a probability of 95%. In the present embodiment, the population means the entire business, and the sample taken from the population means the answers totaled from the target person.

  The reliability can also be expressed as a confidence interval. For example, P is the ratio of specific events (population ratio) in the population (all jobs), p is the ratio of specific events in the sample (sample ratio, in this embodiment, the occurrence probability of each work or work group), and σ is the standard deviation , K is a coefficient relating to the reliability, the confidence interval is expressed by Expression (1).

For example, when the reliability is 68%, the coefficient k takes a value of 1.0, and when the reliability is 95%, the coefficient k takes a value of 2.0.
In addition, the number of samples necessary for obtaining statistics in the confidence interval represented by Expression (1), that is, the necessary number of answers n is represented by Expression (2).

In Expression (2), d is a sampling error, and takes a value obtained by subtracting the reliability from 1 (100%).
The two tables shown in FIG. 7 show the number of necessary answers n necessary for obtaining statistical data with a reliability of 68% (1.0σ) and 95% (2.0σ) for a work or work group with a predetermined occurrence probability p. The calculation result is shown. For example, in order to obtain statistical data with a reliability of 68% for a work or work group with an occurrence probability of 40%, 15 answers are required. In addition, in order to obtain statistical data with 95% reliability for a work or work group with an occurrence probability of 40%, the number of responses of 2400 is required.

  In general, when conducting statistical surveys, first set the reliability in advance according to the purpose of the survey (how accurate statistical data is required), and calculate the required number of answers n according to this reliability. The survey is performed for the required number of answers n. In this case, 95% (2.0σ) or 99% (3.0σ) reliability is often adopted as the reliability set. However, as described above, in order to obtain statistical data with a reliability of 95% for a work or work group with an occurrence probability of 40%, for example, 2400 responses are required, and the burden of conducting an investigation becomes excessive. On the other hand, the number of answers required to obtain statistical data with a reliability of 68% is 15, but the reliability as statistical data is extremely inferior to that with a reliability of 95%. Therefore, in the present embodiment, the reliability is set between 1.0 <k <2.0 in order to obtain statistical data that is not too large as the required number of answers n and ensures a certain degree of reliability.

  Specifically, the control unit 11 of the server 1 multiplies the number of subjects stored in the customer DB 151, the number of responses per day, and the implementation period, and the predicted number of responses that the server 1 is expected to finally add up. n 'is calculated. Next, the control part 11 calculates | requires the rough estimate of reliability from Formula (2) by setting n = n '. Specifically, for example, the control unit 11 calculates the occurrence probability p as an appropriate value (for example, 50%) to obtain the value of k / d. Here, k is a coefficient relating to the reliability, and d is a sampling error determined according to the reliability, so that the reliability can be calculated using, for example, a known normal distribution table.

  When the reliability is obtained by the above calculation process, the value of the coefficient k is determined. However, the influence on the reliability is negligible even if the value of the coefficient k is not defined in detail to the second decimal place. In the form, the control unit 11 rounds off the value of the second decimal place and sets the reliability with the coefficient k set to any value of 1.1 to 1.9. In addition, you may set the detailed value calculated | required by said calculation process as reliability as it is. The control unit 11 stores the set reliability in the statistics DB 152.

FIG. 8 is an explanatory diagram for explaining an answer totaling process. The graph shown on the left side of FIG. 8 is a schematic graph showing the transition of the occurrence probability p of “basic work” during the survey. The horizontal axis of the graph represents time t, and the vertical axis represents the occurrence probability p (%). The table shown on the right side of FIG. 8 is a table showing the calculation result of the required number of answers n when the reliability is 91% (1.7σ).
The control unit 11 calculates the required answer number n in accordance with the set reliability, and transmits and receives mail until the required answer number n is reached. Specifically, first, the control unit 11 starts transmitting the mail related to the questionnaire 40 without calculating the required number of answers n, and starts counting the number of answers. In this case, the control unit 11 determines whether or not the absolute error of the occurrence probability p of the specific work group is less than the threshold based on the total result. The specific work group is a work group divided into “basic work”, for example, and the threshold value is, for example, 1%. By the determination process, the control unit 11 determines whether or not the transition of the total value of the number of answers is stable. When it is determined that the absolute error of the occurrence probability p of “basic work” is less than the threshold, the control unit 11 calculates the required number of answers n.

  Note that the threshold value does not have to be 1% as long as the statistical data can be properly determined. Further, the error of the occurrence probability p of a specific work group may be determined not by an absolute error but by a relative error. Further, the occurrence probability p to be determined may not be the occurrence probability p of a specific work group, that is, a set of work, but the occurrence probability p of a specific work.

For example, it is assumed that the reliability is set to 91% (1.7σ), the number of subjects is 5, and the number of answers per day is 10. In addition, it is assumed that the implementation period at the determination time point is 8 days, and the occurrence probability p of the “basic work” at the determination time point is 40%. In this case, the control unit 11 calculates the required number of answers n using Equation (2). As can be seen from the table on the right side of FIG. 8, the required number of answers n in this case is 535. Since the number of responses already counted by the control unit 11 at the above determination time is 5 × 10 × 8 = 400, it can be seen that the remaining 135 responses are necessary. The control unit 11 transmits mail until reaching the number of remaining answers obtained by subtracting the number of answers already counted from the required number of answers n. Specifically, the control unit 11 divides the number of remaining answers (135) by the number of subjects (5 persons) and the number of answers per day (10 times) to obtain the number of remaining days (3 days). The control unit 11 continues to send mail for the remaining days.
In the above description, the control unit 11 is configured to continue sending emails for the remaining number of days. However, the control unit 11 only needs to be able to count until the required number of answers n is reached, and the number of email transmissions is not the number of remaining days. It is good also as a structure which counts with the number of remaining answers.

  FIG. 9 is an explanatory diagram showing an example of statistical data. When the total number of answers reaches the required number of answers n, the control unit 11 generates an output screen of statistical data shown in FIG. The statistical data is, for example, a table shown by adding a total result including the occurrence probability p of each work group to the work table shown in FIG. Specifically, the statistical data shows, as a breakdown, the number of responses of each work group, the category ratio, and the task ratio for each classification and each category. Note that the statistical data may indicate the total result for each work as well as the work group in which each work is grouped. The statistical data only needs to be able to indicate the occurrence probability p of each work or work group, and may be represented by, for example, a histogram or a pie chart.

FIG. 10 is a flowchart illustrating an example of a processing procedure of the information processing system. Based on FIG. 10, processing contents performed by the information processing system will be described. In the following description, it is assumed that the number of subjects, the number of responses per day, the implementation period, etc. are set in the customer DB 151 in advance.
The control unit 11 of the server 1 sets the statistical reliability related to the survey according to the number of subjects to be surveyed, the number of responses that the subject answers per day, and the implementation period of the survey. Is performed (step S11). The control unit 11 refers to the time table 121 and determines the timing at which an e-mail containing the questionnaire 40 asking the work that the target person is performing in the work is transmitted to the terminal 2 (step S12). The control unit 11 acquires the current time from the clock unit 14, and determines whether or not the current time is the timing for sending an email (step S13). When it is determined that it is not the transmission timing (S13: NO), the control unit 11 waits for processing. When it determines with it being the timing of transmission (S13: YES), the control part 11 produces | generates the mail which contains the questionnaire 40 as a content, and transmits to each object person's terminal 2, 2, 2, ... (step S14).

  The control unit 21 of the terminal 2 receives an email containing the questionnaire 40 (Step S15). The control unit 21 reads the received mail, and selects the work content that the target person is currently performing from the reply buttons 42, 42, 42... Indicating a plurality of work contents in the work and the plurality of reply buttons 42, 42, 42. A message 41 to the effect is displayed on the display unit 24 (step S16). The control unit 21 accepts selection of work content displayed on the display unit 24 (step S17). Specifically, the control unit 21 receives a touch input to the answer button 42 indicating the work content. The control unit 21 transmits a reply mail containing the answer indicating the accepted work content to the server 1 (step S18).

  The control unit 11 of the server 1 receives a reply mail containing a reply indicating the work content received at the terminal 2 (step S19). The control unit 11 reads the reply mail and counts the number of answers (step S20). Specifically, the work indicated by the answer included in the reply mail is determined, and the number of answers corresponding to the work is incremented by 1 in the statistics DB 152 and stored. In addition, the control unit 11 calculates a pairing ratio, a work ratio, and the like for each classification and stores them in the statistics DB 152. The control unit 11 sums up the number of responses by performing the above-described processing on reply mails transmitted from the terminals 2, 2, 2,.

  The control unit 11 calculates the occurrence probability p of a specific work group (step S21). The specific work group is a set of work divided into, for example, “basic work”. The occurrence probability p of a work group indicates a probability that a work included in the work group occurs in a work, that is, a ratio of a specific work group to all works. In the present embodiment, the control unit 11 reads out the statistics DB 152, acquires the “basic task” and the total value relating to the number of responses of all tasks, and calculates the occurrence probability p of the “basic task”.

  The control unit 11 determines whether or not the absolute error between the occurrence probability p calculated last time in step S21 and the occurrence probability p calculated this time is less than a threshold value (step S22). Thereby, the control part 11 determines whether the total value of the number of answers was statistically stable. When it determines with an absolute error not being less than a threshold value (S22: NO), the control part 11 returns a process to step S13.

  When it is determined that the absolute error is less than the threshold (S22: YES), the control unit 11 determines whether or not the necessary number of answers n required for the survey has been calculated (step S23). That is, it is determined whether or not the processing in step S24 described later has already been performed. Note that the determination process in step S23 may be omitted. If it is determined that the required number of answers n has been calculated (S23: YES), the process proceeds to step S26.

  When it is determined that the required answer number n has not been calculated (S23: NO), the control unit 11 calculates the required answer number n necessary for the investigation based on the occurrence probability p of the specific work group calculated in step S22 ( Step S24). Specifically, the control unit 11 determines the sampling error d and the coefficient k related to the reliability in accordance with the reliability set in step S12, and uses the occurrence probability p calculated in step S22 to obtain the necessary answer using equation (2). The number n is calculated.

  The control unit 11 calculates the remaining number of days required to total the number of remaining answers obtained by subtracting the number of answers already tabulated from the calculated required number of answers n (step S25). Specifically, the control unit 11 subtracts the total number of answers stored in the statistical DB 152 from the required number of answers n calculated in step S24, and calculates the number of remaining answers required until the required number of answers n is reached. The control unit 11 calculates the remaining number of days by dividing the number of remaining answers by the number of subjects and the number of answers per day. Note that the control unit 11 may calculate the number of remaining answers instead of the number of remaining days in step S25, and determine whether or not the number of remaining answers is zero instead of the number of remaining days in step S26 described later.

  The control unit 11 determines whether the remaining number of days is zero (step S26). When it determines with the remaining days not being zero (S26: NO), the control part 11 returns a process to step S13. If it is determined that the number of remaining days is zero (S26: YES), the control unit 11 refers to the statistics DB 152, generates statistical data indicating the occurrence probability p of each work group, and transmits the statistical data to the person-in-charge terminal 3 (step) S27). Note that the control unit 11 may also indicate the occurrence probability p for each work in the statistical data. The control unit 11 ends the series of processes.

FIG. 11 is an explanatory diagram showing an example of a processing procedure of a subroutine for setting reliability. Based on FIG. 11, the subroutine for setting reliability in step S11 will be described.
The control unit 11 of the server 1 calculates the predicted answer number n ′ that is predicted to be finally aggregated (step S41). Specifically, the control unit 11 reads the customer DB 151 and calculates the predicted answer number n ′ by multiplying the number of subjects who are survey targets, the number of responses per day, and the survey implementation period.

  The control unit 11 sets the statistical reliability related to the investigation based on the predicted answer number n ′ calculated in step S41 (step S42). Specifically, the required answer number n is set as the predicted answer number n ′, the occurrence probability p is set to a predetermined value (for example, 50%), and the reliability is set using the equation (2). As described above, d in Equation (2) is a relative error in reliability, k is a coefficient related to reliability, and since there is a correlation between them, the reliability is uniquely determined. Therefore, for example, the reliability can be set by referring to a known normal distribution table. The control part 11 memorize | stores the information which concerns on the set reliability in statistics DB152 (step S43), and returns a process.

  As described above, according to the first embodiment, since the target person (survey target person) performs a survey related to the efficiency of the business by replying to the mail, the convenience is higher than that of the prior art. In addition, the server 1 calculates the required number of answers n according to the number of target persons, the number of answers per day, and the implementation period, and transmits an email related to the questionnaire 40 to the terminal 2 until the required number of answers n is reached. Therefore, it is possible to conduct sufficient research on operational efficiency. Therefore, it is possible to easily and appropriately investigate the business efficiency.

  Further, according to the first embodiment, the server 1 determines whether or not the error of the occurrence probability p of a specific work or work group is less than a threshold after starting to count the answers, and determines that the error is less than the threshold. In this case, the required number of answers n is calculated. As a result, the server 1 can calculate the required number of answers n in consideration of the progress of the investigation being conducted, and can obtain an appropriate number of answers from the terminal 2.

  Further, according to the first embodiment, the server 1 sets the reliability according to the number of subjects, the number of answers per day, and the implementation period, and calculates the required number of answers n according to the reliability. . Thereby, it is possible to carry out the survey with the number of answers that does not cause an excessive burden on the target person without extremely reducing the reliability of the survey.

  Moreover, according to this Embodiment 1, the server 1 produces | generates the statistical data which show the occurrence rate p which concerns on each operation | work and a work group after completion of investigation. Thereby, each customer company can grasp | ascertain the efficiency which concerns on its own business appropriately.

  Further, according to the first embodiment, the terminal 2 acquires a mail at the timing determined by the server 1, and the response button 42 and the message 41 indicating a plurality of work contents based on the acquired mail are displayed on the display unit 24. Display and accept selection of work contents based on touch input to the answer button 42. The terminal 2 transmits a reply mail indicating the accepted work content to the server 1. The terminal 2 acquires mail again at different timings determined by the server 1 and displays it on the display unit 24 until the required number of answers n is reached. As a result, the terminal 2 can accept an answer by a simple operation at an appropriate timing, and can make an answer to the server 1.

  In addition, according to the first embodiment, the server 1 includes the time table 121 in which the time for transmitting the mail to the terminal 2 is randomly determined, and transmits the mail based on the time table 121. As a result, the target person answers at random times, and the reliability of the survey can be improved.

(Embodiment 2)
In the first embodiment, the form in which the server 1 aggregates the answers from the subject and generates statistical data has been described. In the present embodiment, the server 1 further describes a mode in which statistical data is generated according to the attributes of the target person. In addition, about the content which overlaps with Embodiment 1, the same code | symbol is attached | subjected and description is abbreviate | omitted.

  FIG. 12 is an explanatory diagram illustrating an example of a record layout of the customer DB 151 according to the second embodiment. Customer DB 151 according to the second embodiment includes an age column in addition to an ID column, a customer name column, and the like. The age column stores the age of the subject in association with the terminal ID.

  FIG. 13 is an explanatory diagram illustrating an example of a record layout of the statistics DB 152 according to the second embodiment. The statistics DB 152 according to the second embodiment includes an answer number breakdown column and a ratio breakdown column in addition to an ID column and a work column. The response number breakdown column stores a breakdown of the number of responses corresponding to the age of the responding target person in association with the number of responses. When the control unit 11 of the server 1 receives a reply mail related to the answer from the terminal 2, the control unit 11 determines the age of the target person who responded with reference to the customer DB 151, and counts the number of answers according to the age of the target person in the statistics DB 152. Store in the response number breakdown column. Specifically, the control unit 11 divides the age of the target person into the twenties, thirties, forties, and the fifties or more, and counts the number of answers for each age. For example, when the respondent who answered that the “customer keyman search” work is performed is one forty subject person, (0, 0, 1, 0) is stored in the response number breakdown column of the statistics DB 152. Is done.

  The ratio breakdown column stores a breakdown of the ratio of the number of responses according to the age of the target person in association with the ratio stored in the ratio column. Specifically, the ratio breakdown column stores a breakdown by age for each of the pairing ratio and the business ratio. The breakdown of the classification ratio is obtained by dividing the total number of responses by age related to the corresponding category by the total number of responses by age related to the corresponding category. For example, regarding the classification of “thinking / judgment”, it can be understood that the ratio of performing work classified as “thinking / judgment” when the target person in his twenties performs “basic work” is 5%. Further, the breakdown of the ratio of business operations is obtained by dividing the total number of responses by age related to the corresponding classification by the total number of responses by age related to all operations. For example, in accordance with the above example, it can be understood that the ratio of the work classified as “thinking / judgment” in all the work performed by the subject in the twenties is 2%.

  FIG. 14 is an explanatory diagram of an example of statistical data according to the second embodiment. As described above, in this embodiment, the server 1 counts the number of answers according to the attribute (age) of the target person. When the aggregation is completed, the control unit 11 of the server 1 refers to the statistics DB 152 and generates statistical data according to the attributes of the target person in addition to the statistical data related to the entire target person as in the first embodiment. To the person-in-charge terminal 3. FIG. 14 shows an example of statistical data relating to a subject in his twenties. As shown in FIG. 14, the statistical data shows a breakdown according to the attributes of the target person regarding the number of answers and the occurrence probability regarding each work group.

  Although the server 1 generates statistical data according to the age of the target person as described above, the attribute of the target person is not limited to the age. For example, the gender, department, length of service, salary of the target person Etc. Further, the attribute of the subject may include a plurality of these items.

FIG. 15 is a flowchart illustrating an example of a processing procedure of the information processing system according to the second embodiment. Based on FIG. 15, processing contents performed by the information processing system according to the present embodiment will be described. In addition, about the content which overlaps with Embodiment 1, the same code | symbol is attached | subjected and description is abbreviate | omitted.
When a reply mail is received from the terminal 2 (step S19), the control unit 11 of the server 1 reads the reply mail and counts the number of answers according to the attribute of the responding target person (step S201). Specifically, the control unit 11 identifies the terminal ID of the terminal 2 that has transmitted the reply mail, and refers to the customer DB 151 to determine the attribute (age) of the responding target person. The control unit 11 discriminates the work indicated by the answer included in the reply mail, adds 1 to the number of answers, and responds by age according to the number-of-answers breakdown column of the statistics DB 152 according to the attribute (age) of the target person. Add 1 to the number and store it. In addition, the control unit 11 calculates a pairing ratio, a work ratio, and the like for each classification according to the attribute (age) of the target person, and stores them in the statistics DB 152. The control part 11 totals the number of answers according to a subject's attribute by performing the said process.

  When it is determined that the remaining days are zero (S26: YES), the control unit 11 refers to the statistics DB 152, generates statistical data indicating the occurrence probability p of each work group according to the attributes of the target person, and Is transmitted to the person terminal 3 (step S202). Specifically, the control unit 11 generates statistical data including not only the occurrence probability p of each work group for each category and each category but also the breakdown of the occurrence probability p by age, and transmits the statistical data to the person-in-charge terminal 3. To do. The control unit 11 ends the series of processes.

  As described above, according to the second embodiment, the server 1 generates statistical data according to the attributes of the target person. As a result, the server 1 can check the breakdown based on the attributes (age, gender, department, etc.) of the target person in the survey, and the client company can perform more detailed analysis on the efficiency of its business.

(Embodiment 3)
In the first embodiment, the server 1 transmits the questionnaire 40 asking the work being performed by the target person to the terminal 2, and the form of counting the answers to the questionnaire 40 has been described. In the present embodiment, the questionnaire 40 includes a question item that asks the emotion of the subject person who is performing the work, and the subjective answer of the subject person who is performing the work is aggregated together with the subjective answer to the question matter. A form to collect various information together will be described. In addition, about the content which overlaps with Embodiment 1, the same code | symbol is attached | subjected and description is abbreviate | omitted.

  FIG. 16 is an explanatory diagram showing an example of a record layout of the statistics DB 152 according to the third embodiment. The statistics DB 152 according to the present embodiment includes a subjective column in addition to an ID column, a work column, and the like. The subjectivity column stores the number of responses of subjective answers that the subject person performing each task answered about his / her emotion in association with the task. As will be described later, in the present embodiment, the subjective answer is subjective information related to the emotion of the subject represented by two types of “excited” and “irritated”. The number of subjective answers is stored. For example, according to FIG. 16, among the subjects who performed the “in-house training”, four subjects answered that they were “excited”, and one subject answered that they were “irritated”. I know that there is.

  FIG. 17 is an explanatory diagram illustrating an example of a mail screen according to the third embodiment. When the mail having the contents of the questionnaire 40 is received from the server 1, the control unit 21 of the terminal 2 displays the mail screen shown in FIG. 17 on the display unit 24. In this embodiment, the questionnaire 40 related to the mail screen includes a subjective answer button 344 in addition to the message 41 and the answer button 42. The subjective answer button 344 is an object for asking the emotion of the subject who is performing the work, and is an icon button including text “excited” and “irritated”. The subject performs touch input to the subjective answer button 344 of “excited” or “irritated” based on his / her feelings during the work. Based on the touch input, the control unit 21 receives a subjective answer regarding the emotion of the subject who is performing a specific work. When the touch input to the transmission button 43 is received, the control unit 21 transmits a reply mail containing the answer including the subjective answer to the server 1.

When the reply mail is received, the control unit 11 of the server 1 reads the reply mail, discriminates the answer indicating the work contents currently performed by the target person, and adds 1 to the number of answers related to the answer number column of the statistics DB 152. At the same time, the subjective answer included in the reply mail is determined, and the number of answers related to the subjective column in the statistics DB 152 is added and stored. For example, when the determined subjective answer indicates “excited”, the control unit 11 adds 1 to the number of responses of the subjective answer indicating “excited” in the subjective column in association with the work indicated by the answer included in the reply mail. And remember. Thereby, the control part 11 totals the emotion which a subject has in performing a specific operation | work as a subjective answer, and memorize | stores it in statistics DB152. Although detailed illustration and description are omitted, when generating statistical data, the control unit 11 refers to the statistical DB 152, and in addition to the total result indicating the occurrence probability p of each work and work group, Statistical data including a total result indicating the number of answers is generated and transmitted to the person-in-charge terminal 3.
Note that the control unit 11 may calculate a ratio (occurrence probability p) for each work and work group for the subjective answer as in the first embodiment, and may indicate the ratio related to each subjective answer in the statistical data. .

FIG. 18 is a flowchart illustrating an example of a processing procedure of the information processing system according to the third embodiment. Based on FIG. 18, processing contents performed by the information processing system according to the present embodiment will be described. In addition, about the content which overlaps with Embodiment 1, the same code | symbol is attached | subjected and description is abbreviate | omitted.
When the control unit 21 of the terminal 2 receives an email containing the questionnaire 40 (step S15), the information processing system according to the present embodiment performs the following processing. The control unit 21 is currently performed by answer buttons 42, 42, 42... Indicating a plurality of work contents in the business, subjective answer buttons 344, 344 indicating subjective information of the target person who performs the work, and the target person. A message 41 indicating that the work content should be selected is displayed on the display unit 24 (step S301). The control unit 21 accepts the selection of the work content displayed on the display unit 24 and the subjective information of the subject who is performing the work (step S302). Specifically, the control unit 21 accepts touch input to the answer button 42 and the subjective answer 344. The control unit 21 transmits a reply mail containing the answer indicating the accepted work content and subjective information to the server 1 (step S303).

  The control unit 11 of the server 1 receives a reply e-mail containing an answer indicating the work content and subjective information received by the terminal 2 (step S304). The control unit 11 reads the reply mail, and counts the number of answers for the answers indicating the work contents performed by the target person (step S305). Specifically, the work indicated by the answer included in the reply mail is determined, and the number of answers corresponding to the work is incremented by 1 in the statistics DB 152 and stored. In addition, the control unit 11 calculates a pairing ratio, a work ratio, and the like for each classification and stores them in the statistics DB 152.

  The control unit 11 aggregates the number of answers for the subjective answers indicating the subjective information of the subject person who is working (step S306). Specifically, the control unit 11 discriminates the subjective answer included in the reply mail, adds 1 to the subjective column of the statistics DB 152 by 1 in association with the work discriminated in step S305. And remember. The control part 11 transfers a process to step S21.

  When it is determined that the number of remaining days is zero (S26: YES), the control unit 11 reads the statistical DB 152, generates statistical data including the subjective information of the target person, and transmits the statistical data to the person-in-charge terminal 3 (step S307). . Specifically, the control unit 11 generates statistical data indicating the number of responses of subjective answers related to each work group in addition to the number of answers and occurrence probability p for each work group related to each classification, and the person-in-charge terminal 3 Send to. As described above, the subjective information indicated by the statistical data may include not only the number of subjective answers but also the ratio of subjective answers. The control unit 11 returns the process.

  As described above, according to the third embodiment, the questionnaire 40 includes a question item that asks the emotion of the subject person who is working, and the server 1 also calculates the number of responses for the subject's subjective answer to the question item. Tally. Thereby, for example, the server 1 can investigate the degree of stress received when the target person performs each work in conducting the investigation.

(Embodiment 4)
In the present embodiment, a description will be given of a mode in which statistical reliability for each work or work group is displayed on an output screen when statistical data is output.
Before describing the statistical data output process in the present embodiment, the answer collection process in the present embodiment will be briefly described first. In the first embodiment, the server 1 calculates the required response number n by setting the reliability of the survey in advance from the number of subjects, the number of responses per day, and the like until the calculated required response number n is reached. It was decided to collect. On the other hand, the server 1 according to the present embodiment does not initially perform setting of reliability, calculation of the required number of answers n, etc., but starts sending questionnaires and collecting answers. The server 1 continues the survey without determining the end of the survey, collects the responses from the terminals 2, 2, 2,... And stores them in the statistics DB 152. When the server 1 receives an output request from the person-in-charge terminal 3, the server 1 outputs the latest statistical data to the person-in-charge terminal 3 as an investigation result. In the above case, the statistical reliability of the survey results may not be sufficient when the statistical data is output. However, as described later, the statistical reliability is clearly indicated on the statistical data output screen. The person in charge can judge the reliability of the survey results.

  FIG. 19 is an explanatory diagram of an example of statistical data according to the fourth embodiment. For example, when the control unit 11 of the server 1 receives an output request for statistical data from the person-in-charge terminal 3, the controller 11 refers to various data stored in the statistics DB 152, generates the screen shown in FIG. Output to. Specifically, as in the first embodiment, the control unit 11 generates a work table indicating the number of responses for each work and work group, the ratio of the work group, the work ratio, and the like for each classification and classification. Output to the terminal 3. Furthermore, the control part 11 displays the statistical reliability of each data in each display column regarding the work shown in each display column of the work table and the breakdown by work group. Specifically, as shown in FIG. 19, the control unit 11 displays the reliability for each work and work group by color-coding each display field. In FIG. 19, for the sake of convenience, the color-coded state is shown by hatching.

  When outputting the statistical data to the person-in-charge terminal 3, the control unit 11 calculates the reliability of the statistical data for each work and work group. For example, the control unit 11 calculates the reliability from Equation (2) based on the occurrence probability p of each work and work group stored in the statistical DB 152 and the number of answers n. Since the sampling error d and the coefficient k in Equation (2) are variables according to the reliability, the control unit 11 can calculate a unique reliability using a known normal distribution table. For example, in the statistical data shown in FIG. 19, when calculating the reliability of the survey result regarding the work group classified as “basic work” and classified as “thinking / judgment”, the control unit 11 sets the occurrence probability p to “3%”. And the number of responses n is “14”, and the reliability is calculated from equation (2). The control unit 11 similarly repeats the calculation process for other work groups and individual works, and calculates the reliability for each work and work group.

  The control unit 11 displays the display columns for each work and work group in different display modes according to the calculated reliability. For example, as shown in FIG. 19, the control unit 11 divides the reliability into numerical ranges of 0 to 67%, 68 to 79%, 80 to 89%, etc., and the display column of the work table is color-coded according to each numerical range. To do. The customer company can grasp the reliability of the survey result in detail and easily by referring to the display color of each display column. In the present embodiment, the server 1 transmits the questionnaire and collects the answers without setting the end of the survey. As described above, the server 1 clearly indicates the reliability on the statistical data output screen. As a result, the client company can select the survey result with reference to the display color, so there is no need to set the reliability at the start of the survey.

  Further, the server 1 outputs a target person designation field 401 and a period designation field 402 on the screen. The target person designation field 401 is an input field for designating the target person who was the subject of the survey. The period designation column 402 is an input column for designating the implementation period in which the survey was performed. The person-in-charge terminal 3 receives a designation input in the target person designation field 401 or the period designation field 402 and transfers it to the server 1. In this case, the control unit 11 of the server 1 reads out the data of the designated target person or the implementation period from the statistics DB 152 and outputs the data to the person-in-charge terminal 3. That is, the control unit 11 narrows down the statistical data to be output. For example, when a certain target person is specified in the target person specifying field 401, the control unit 11 extracts the data of the target person from the statistical DB 152, the number of operations performed by the target person and the number of work of the work group, Statistical data such as a ratio and a business ratio is output to the person-in-charge terminal 3. As a result, the client company can know the survey results regarding the business efficiency of the target person. The server 1 performs the same process for the implementation period. In the above case, the control unit 11 outputs a screen showing the work and the reliability of each work group in different colors as in FIG. In addition, the control unit 11 may narrow down the data based only on either the target person or the implementation period, or may narrow down the data based on both the target person and the implementation period.

FIG. 20 is a flowchart illustrating an example of a processing procedure executed by the information processing system according to the fourth embodiment. Based on FIG. 20, processing contents executed by the information processing system according to the present embodiment will be described.
The control unit 11 of the server 1 refers to the time table 121 and determines the timing at which an e-mail containing the questionnaire 40 asking the work that the target person is performing in the work is sent to the terminal 2 (step S401). The control unit 11 obtains the current time from the clock unit 14, and determines whether or not the current time is the timing for sending mail (step S402). When it is determined that it is not the transmission timing (S402: NO), the control unit 11 waits for processing. If it is determined that it is the transmission timing (S402: YES), the control unit 11 transmits an email containing the questionnaire 40 to the terminals 2, 2, 2,... Of each target person (step S403), and the process is performed in step S15. Migrate to

  The control unit 11 of the server 1 receives a reply mail containing a reply indicating the work content received at the terminal 2 (step S404). The control unit 11 reads the reply mail and counts the number of answers (step S405). The control unit 11 calculates the occurrence probability p of a specific work group based on the counting result (step S406).

  The control unit 11 determines whether or not a statistical data output request related to the work efficiency investigation has been received from the person-in-charge terminal 3 (step S407). When it determines with not receiving the output request (S407: NO), the control part 11 returns a process to step S402. When it determines with having received the output request (S407: YES), the control part 11 produces | generates the statistical data which show occurrence probability p of each operation | work and a work group with reference to statistics DB152 (step S408).

  The control unit 11 calculates a statistical reliability for each work and work group with respect to the occurrence probability p of each work and work group included in the generated statistical data (step S409). Specifically, the control unit 11 refers to the statistical DB 152, reads out the number of responses and the occurrence probability p related to each work and work group, and calculates individual reliability based on Expression (2). The control unit 11 calculates the reliability for each work and work group individually.

  The control unit 11 generates a statistical data output screen showing a breakdown by work and work group in a display mode according to the calculated work and work group reliability, and outputs it to the person-in-charge terminal 3 (step S410). ). For example, the control unit 11 subdivides all tasks according to the classification and division, and displays the number of responses for each work and work group, the ratio of division, the ratio of business, etc. in the display column of each subdivided work and work group. A business table showing the breakdown is generated. Further, the control unit 11 color-codes the display columns of each work and work group according to the reliability for each work and work group calculated in step S409.

The control unit 11 determines whether or not the subject of the survey or the designation of the survey implementation period has been received from the person-in-charge terminal 3 (step S411). For example, the control unit 11 displays a subject designation column 401 and a period designation column 402 for receiving designation inputs for the subject and the implementation period in the image according to step S410. The control unit 11 determines whether or not an operation input to the target person designation field 401 or the period designation field 402 is made and a request related to designation of the target person or the implementation period is received from the person-in-charge terminal 3. If it is determined that no accept specified (S411: NO), the control unit 11 returns the process to step S4 0 2.

  When it determines with having received designation | designated of the subject or the implementation period (S411: YES), the control part 11 produces | generates the statistical data which concern on the designated subject or implementation period, and outputs it to the terminal 2 (step S412). For example, when the control unit 11 receives the designation for the target person, the control unit 11 reads out data such as the total result of the answers collected from the terminal 2 of the target person and the occurrence probability p of each work related to the target person from the statistical DB 152. The control unit 11 generates a screen indicating the read statistical data and outputs the screen to the person-in-charge terminal 3. In this case, similarly to step S410, the control unit 11 generates a screen in which the display columns of each work and work group are color-coded according to the statistical reliability for each work and work group, and the person-in-charge terminal 3 Output to. The control unit 11 returns the process to step S402.

  In this embodiment, the required number of answers n is not calculated and the end of the survey is not set. However, as in Embodiment 1, the required number of answers n is calculated and the end of the survey is set. Also good.

  In the above description, the reliability for each work and each work group is presented by color coding. However, the reliability may be presented in a manner such as display shading or blinking. That is, the server 1 only needs to be able to express the breakdown of the statistical data in different display modes according to the reliability, and the display method is not particularly limited.

  As described above, according to the fourth embodiment, since the reliability of each work and work group is clearly indicated for the statistical data generated by the server 1, the client company grasps the reliability of the survey result in a detailed and easy-to-understand manner. be able to.

  Further, according to the fourth embodiment, the survey results can be narrowed down according to the target person or the implementation period, and the client company can grasp detailed information on the work efficiency of its business.

  Further, according to the fourth embodiment, unlike the first embodiment, even when a survey is performed without using the required number of answers n as a reference, the reliability of the survey results is finally clearly shown in detail. It is possible to provide a more practical and convenient survey service.

  The embodiment disclosed this time is to be considered as illustrative in all points and not restrictive. The scope of the present invention is defined not by the above-described meaning but by the scope of claims, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

1 server (information processing equipment)
11 Control Unit 12 Storage Unit 13 Communication Unit 14 Clock Unit 15 Mass Storage Device 151 Customer DB
152 Statistics DB
2 terminals (information processing terminals)
21 control part 22 storage part A program 23 communication part 24 display part 25 input part 3 person in charge terminal 40 questionnaire 41 message 42 answer button (work contents)
43 Send button 344 Subjective answer button 401 Target person designation field 402 Period designation field

Claims (8)

An information processing device for investigating business efficiency,
A decision unit that determines when to send a questionnaire asking about the work being conducted by the target person to be surveyed;
According to the number of the target person, the number of responses per predetermined period for the questionnaire, and the implementation period for conducting the survey, a calculation unit that calculates the necessary number of responses necessary for the survey,
A transmission unit that transmits the questionnaire to the information processing terminal of the subject at a timing determined by the determination unit until the required number of answers calculated by the calculation unit is reached;
A receiving unit for receiving an answer transmitted from the information processing terminal ;
A counting unit for counting the number of responses received by the receiving unit;
A determination unit that determines whether or not an error in occurrence probability of a specific work or work group is less than a threshold based on a totaling result by the totaling unit;
With
When the determination unit determines that the error of the occurrence probability is less than a threshold after the transmission unit starts transmitting the questionnaire, the calculation unit calculates the required number of answers based on the occurrence probability,
The information processing apparatus, wherein the transmitting unit transmits the questionnaire until the number of remaining answers obtained by subtracting the number of answers already counted by the counting unit from the required number of answers calculated by the calculating unit is reached . The calculation unit includes:
Multiplying the number of subjects, the number of responses per predetermined period, and the implementation period to calculate the predicted number of responses that the aggregation unit is expected to ultimately add up,
Based on the calculated number of predicted responses, set the statistical confidence for the survey,
Depending on the set reliability information processing apparatus according to claim 1, characterized in that to calculate the number of the required answers. 3. A generation unit that generates statistical data indicating an occurrence probability of each work or work group when the number of answers received by the reception unit reaches the required number of answers. 3. The information processing apparatus described in 1. The information processing apparatus according to claim 3 , wherein the generation unit generates the statistical data according to an attribute of the target person. Regarding the occurrence probability of each work or work group indicated by the statistical data, a reliability calculation unit that calculates a statistical reliability for each work or work group;
To claim 3 or claim 4, characterized in that an output unit for outputting the statistical data indicating the operation or working group breakdown in a display mode according to the reliability of the reliability calculation unit has calculated The information processing apparatus described. A reception unit that receives designation of the target person or the implementation period;
The information processing apparatus according to any one of claims 3 to 5 , wherein the generation unit generates the statistical data of the designated target person or an implementation period. An information processing method for investigating work efficiency using a computer,
In the computer,
Decide when to send a questionnaire that asks what you ’re investigating about the work you ’re currently doing,
According to the number of the target persons, the number of answers per predetermined period for the questionnaire, and the implementation period for conducting the survey, the required number of answers required for the survey is calculated,
Until the calculated required number of answers is reached, the questionnaire is transmitted to the information processing terminal of the target person at a determined timing,
Obtaining an answer sent from the information processing terminal ;
Aggregate the number of obtained responses,
Based on the aggregated result, determine whether the error of the occurrence probability of a specific work or work group is less than a threshold,
After determining that the error in the occurrence probability is less than a threshold after starting the transmission of the questionnaire, the required number of answers is calculated based on the occurrence probability,
Send the questionnaire until the number of remaining answers is reached by subtracting the number of answers already counted from the calculated required number of answers
An information processing method characterized by causing a process to be executed . An information processing device for investigating business efficiency,
A decision unit that determines when to send a questionnaire asking about the work being conducted by the target person to be surveyed;
A transmission unit that transmits the questionnaire to the information processing terminal of the subject at a timing determined by the determination unit;
A receiving unit for receiving an answer transmitted from the information processing terminal;
A generating unit that generates statistical data indicating the occurrence probability of each work or work group based on the answer received by the receiving unit;
A reliability calculation unit that calculates a statistical reliability for each work or work group with respect to the occurrence probability of each work or work group indicated by the statistical data;
An information processing apparatus comprising: an output unit that outputs the statistical data indicating a breakdown of the work or work group in a display mode according to the reliability calculated by the reliability calculation unit.

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