CN116843237B - Office platform application assessment statistical analysis system - Google Patents
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Abstract
The application relates to the technical field of data analysis, in particular to an office platform application assessment statistical analysis system, which comprises a server, wherein the server comprises the following modules: a user login management module: the method is used for carrying out relevant business navigation according to the set navigation title after the user registers and logs in; recording the login times of the user, analyzing and judging whether the login times reach a threshold value, and weakening the prompting degree of the navigation title step by step if the login times reach the threshold value; and an operation log management module: an operation record of a user for reading the record from the operation log and analyzing; and an assessment statistical analysis module: the method comprises the steps of analyzing whether the use condition of a user reaches the minimum use standard or not, and if not, generating warning information; if the navigation title is reached, comprehensive assessment analysis is carried out on the proficiency of the user adapted to the office platform according to the prompt degree of the navigation title and the start-stop time length and the completion degree of the operation item. The application can be convenient for statistics and analysis of the service condition of office staff on the office platform.
Description
Technical Field
The application relates to the technical field of data analysis, in particular to an office platform application assessment statistical analysis system.
Background
Different people have different acceptance for new things. Therefore, many people still present a reluctance to try new office tools, and it is considered that even if the tools are not used at present, normal work is not affected, and more importantly, the software is considered to be too difficult to learn and cannot be used by hands and advanced proficiency. In this case, the conventional solution is to use the device with a acquainted skill by means of intensive training, instruction manual teaching and hand grip instruction teaching. The problems are that the situation of each person is different, the use situation, the proficiency situation and the like of the office platform are not well counted, and therefore, measures and guidance cannot be provided for improvement in a targeted manner.
Disclosure of Invention
The application aims to provide an office platform application examination statistical analysis system which is convenient for statistically analyzing the service condition of office staff on an office platform.
In order to achieve the above purpose, an office platform application assessment statistical analysis system is provided, which comprises a server, wherein the server comprises the following modules:
a user login management module: the method is used for carrying out relevant business navigation according to the set navigation title after the user registers and logs in; the method is also used for recording the login times of the user after the user is unregistered and logging in, analyzing and judging whether the login times reach a threshold value, and weakening the prompting degree of the navigation title step by step if the login times reach the threshold value;
and an operation log management module: the method comprises the steps of reading recorded operation records of a user from an operation log, analyzing starting operation and ending operation, and analyzing operation items and starting and ending time lengths of the user, as well as completion degrees and overall use time lengths of the operation items according to the starting operation, the ending operation and the operation records in between;
and an assessment statistical analysis module: the method comprises the steps of counting login times and overall use duration of a user in a set period, analyzing whether the use condition of the user reaches a minimum use standard, and generating warning information if the use condition of the user does not reach the minimum use standard; if the navigation title is reached, comprehensively checking and analyzing the proficiency of the user adapted to the office platform according to the prompt degree of the navigation title and the start-stop time length and the completion degree of the operation item; the minimum use standard is a set minimum login frequency threshold and a set shortest overall use time length threshold, and the minimum login frequency threshold and the set shortest overall use time length threshold are required to be met at the same time; the comprehensive assessment analysis is a mode of calculating a comprehensive score by adopting weight distribution and basic assignment, wherein corresponding weight and basic score are set for the prompting degree of the navigation title, different weight and basic score are respectively set for the starting and ending time length and the completion degree of the operation project, and finally the calculated comprehensive score represents the proficiency of the user adapting to the office platform.
Further, the server also comprises the following modules:
error operation analysis module: the method is used for comparing and analyzing the operation record corresponding to the operation item with the correct flow corresponding to the operation item, analyzing the error operation of the user, carrying out statistical analysis on the error operation in a set period to obtain error operation distribution data, and analyzing the operation proficiency of the user on each operation item according to the error operation distribution data and the completion degree of the operation item.
Further, the server also comprises the following modules:
an error operation guidance module: the operation items which are used for analyzing that the user fails to realize operation progress according to the historical error operation distribution data and the operation proficiency of the corresponding operation items; and the navigation system is also used for acquiring error operation guidance corresponding to the operation item which is not operated by the user, adding the error operation guidance into the navigation title, and weakening the hint level of the navigation title step by step according to the calculation of the progress level when the operation proficiency of the operation item is analyzed and judged to be advanced.
Further, the server also comprises the following modules:
comprehensive examination statistical analysis module: the comprehensive assessment analysis method comprises the steps of performing ranking analysis on comprehensive assessment analysis results of each user using the office platform in a set period, wherein the ranking analysis comprises error number ranking of error operations of each operation item, long-time ranking and operation proficiency ranking of the whole use, and comprehensive proficiency ranking suitable for the office platform; the comprehensive proficiency ranking is the comprehensive ranking of the operation proficiency of a plurality of operation items under the office platform;
and a guidance recommendation module: the method is used for respectively determining a learning list in the wrong number ranking, the overall use time long ranking, the operation proficiency ranking and the comprehensive proficiency ranking according to the set ranking threshold value, recording the operation record of the learning list as a learning case, and recommending the learning case to a user with the ranking meeting the set value.
Further, the server also comprises the following modules:
forgetting instruction module: the method is used for acquiring the guide keywords input by the user, searching from the navigation titles according to the guide keywords, highlighting the search results, and recovering the prompting degree of the navigation titles.
Further, the server also comprises the following modules:
and a prediction guidance module: the method is used for predicting the next operation step according to the current operation record of the user and a preset neural network model, and highlighting the operation step.
Principle and advantage:
1. after the user registers and logs in, the user can conduct relevant business navigation according to the set navigation title, so that the user can conduct operation learning according to the navigation title when using for the first time; after the user is unregistered and logs in, namely, logging in again after the first time, the login times of the user are recorded, whether the login times reach a threshold value is analyzed and judged, and if so, the prompting degree of the navigation title is weakened step by step; the more the login times are, the corresponding proficiency is gradually increased, the number of the navigation titles to the office platform can be quantitatively displayed to the user through the prompt degree of the navigation titles, and meanwhile, the prompt degree of the navigation titles weakened step by step is gradually, until the navigation titles disappear, because most people proficient in the navigation titles are relatively insusceptible to novice operation, the navigation titles can be skipped or directly closed when encountering the navigation titles, but the conventional tutorials such as novice guidance cannot be skipped, and the influence on the proficient user can be reduced through the design. But also can be found quickly when needed.
2. The operation log management module can read recorded operation records of users from the operation log, analyze starting operation and ending operation, and analyze operation items and starting and ending time lengths of the users, and finish degrees and overall use time lengths of the operation items according to the starting operation, the ending operation and the operation records in between; through the parameters, the use condition of the operation items by the user is conveniently and statistically analyzed.
3. The checking statistical analysis module is used for counting the login times and the overall use duration of the user in a set period, analyzing whether the use condition of the user reaches the minimum use standard, and generating warning information if the use condition of the user does not reach the minimum use standard; if the navigation title is reached, comprehensive assessment analysis is carried out on the proficiency of the user adapted to the office platform according to the prompt degree of the navigation title and the start-stop time length and the completion degree of the operation item. The method and the system realize quantitative analysis of the proficiency of the user adapted to the office platform, so that the use condition of the user on the office platform is accurately known.
4. The error operation analysis module is used for obtaining error operation distribution data by statistically analyzing error operations in a set period, indirectly analyzing the operation proficiency of a user on each operation item through error occurrence conditions, enabling the operation to be smoother as the proficiency is higher and the errors are less, and providing error guidance conveniently and pertinently. The error operation guidance module obtains an error operation guidance corresponding to an operation item which fails to realize operation progress by a user, adds the error operation guidance into the navigation title, and analyzes and judges that the operation proficiency of the operation item is in progress, and weakens the hint level of the navigation title step by step according to the calculation of the progress degree. So that the user can know the progress of himself.
5. The comprehensive examination statistical analysis module and the guidance recommendation module are arranged so as to be convenient for learning well and teaching learning poorly, and realize common progress.
Drawings
Fig. 1 is a logic block diagram of an office platform application assessment statistical analysis system according to an embodiment of the present application.
Detailed Description
The following is a further detailed description of the embodiments:
examples
The utility model provides an office platform application examination statistics analysis system, basically as shown in fig. 1, includes server and user side, the user side is common intelligent terminal equipment, for example desktop computer, notebook computer etc. and embeds conventional office platform's client program, realizes the remote communication with the server, the server includes following module:
a user login management module: the method is used for carrying out relevant business navigation according to the set navigation title after the user registers and logs in the office platform; the method is also used for recording the login times of the user after the user is unregistered and logged in (logging in again after the first login), analyzing and judging whether the login times reach a threshold value, and weakening the prompting degree of the navigation title step by step if the login times reach the threshold value; the navigation title is arranged at the top or bottom of the display screen of the intelligent terminal equipment, and a novice guidance course of a plurality of operation items, incorrect operation guidance of the operation items and the like can be checked by clicking the navigation title. The hint level may be a font size, transparency, etc. of the navigation title, the font size setting a plurality of quantization levels, the transparency setting a plurality of quantization levels as well. The smaller the font (higher the quantization level, as opposed to conventional font display), the higher the transparency (higher the quantization level, as in conventional transparency operation), the more skilled the user, the less need for novice instruction courses, erroneous operation instructions for operating items, and the like.
And an operation log management module: the method comprises the steps of reading recorded operation records of a user from an operation log, analyzing starting operation and ending operation, and analyzing operation items and starting and ending time lengths of the user, as well as completion degrees and overall use time lengths of the operation items according to the starting operation, the ending operation and the operation records in between; the oplog is read from a conventional office platform, which basically has this function. The completion degree of the operation item is analyzed and calculated according to the operation steps of the operation item, when a user performs the operation for the first time, the operation for realizing the complete operation item may need to be repeated for a plurality of times due to inexperience, and interruption situations may also occur, so that the proficiency of the user on the operation item is conveniently and fully analyzed through the parameters.
And an assessment statistical analysis module: the method comprises the steps of counting login times and overall use duration of a user in a set period, analyzing whether the use condition of the user reaches a minimum use standard, and generating warning information if the use condition of the user does not reach the minimum use standard; if the navigation title is reached, comprehensive assessment analysis is carried out on the proficiency of the user adapted to the office platform according to the prompt degree of the navigation title and the start-stop time length and the completion degree of the operation item. The setting period may be one week, one month, one quarter, one year, or the like, or may be freely set, where the minimum usage standard is a set minimum login frequency threshold and a minimum overall usage time length threshold, and the minimum login frequency threshold and the minimum overall usage time length threshold should be satisfied at the same time, for example, the minimum login frequency threshold for one week is 5 times, the minimum overall usage time length threshold for one week is 20 hours, the minimum login frequency threshold for one day is 1 time, the minimum overall usage time length threshold for one day is 4 hours, or the like. And adopting a conventional weight distribution and basic assignment in a comprehensive assessment analysis mode, thereby obtaining a comprehensive score. Corresponding weights and basic scores are set for the prompting degrees of the navigation titles, different weights and basic scores are set for the starting and ending time length and the finishing degree of the operation items respectively, and the final calculated comprehensive score represents the proficiency of the user adapting to the office platform. For example, the assigned weights are a (the weight of the navigation header indicator), B (the weight of the start-stop time length of the operation item), C (the weight of the completion degree of the operation item), a+b+c=1, respectively. The basic score is 100 scores, the prompting degree of 100 scores indicates that the prompting degree of the navigation title is the lowest (prompting degree min), the starting and ending time length of 100 scores indicates that the starting and ending time length of the operation item is the shortest (starting and ending time length min), and the completion degree of 100 scores indicates that the completion degree of the operation item is the highest (completion degree max), so the calculation of the comprehensive score is as follows:
composite score = a x 100 x cue degree current quantization level/cue degree min quantization level + B x 100 x start-stop time length current quantization level/start-stop time length min quantization level + C x 100 x finish degree current quantization level/finish degree max quantization level
The composite score is expressed as a score and may be directly ordered according to the score.
Error operation analysis module: the method is used for comparing and analyzing the operation record corresponding to the operation item with the correct flow corresponding to the operation item, analyzing the error operation of the user, carrying out statistical analysis on the error operation in a set period to obtain error operation distribution data, and analyzing the operation proficiency of the user on each operation item according to the error operation distribution data and the completion degree of the operation item. Individual error operations may require closing the operation item and reestablishing a new operation item, but some errors have little effect on the final execution result, all of which are obtained by comparing the corresponding operation records with the correct flow corresponding to the operation item, finally obtaining error operation distribution data through statistical analysis in a set period, wherein the less the errors occur, the more skilled the description, the higher the proficiency score, the same conventional weight distribution and basic score are adopted for the proficiency score, and finally the total score is calculated. In this scheme, the user's operation proficiency for each operation item is analyzed according to the erroneous operation distribution data and the completion degree of the operation item. So as to fully understand the use condition of the user on the office platform.
An error operation guidance module: the operation items which are used for analyzing that the user fails to realize operation progress according to the historical error operation distribution data and the operation proficiency of the corresponding operation items; and the navigation system is also used for acquiring error operation guidance corresponding to the operation item which is not operated by the user, adding the error operation guidance into the navigation title, and weakening the hint level of the navigation title step by step according to the calculation of the progress level when the operation proficiency of the operation item is analyzed and judged to be advanced.
Comprehensive examination statistical analysis module: the comprehensive assessment analysis method comprises the steps of performing ranking analysis on comprehensive assessment analysis results of each user using the office platform in a set period, wherein the ranking analysis comprises error number ranking of error operations of each operation item, long-time ranking and operation proficiency ranking of the whole use, and comprehensive proficiency ranking suitable for the office platform; in this scheme, the operation proficiency ranking refers to the ranking of the operation proficiency of a single operation item, and the office platform has a plurality of operation items, so the comprehensive proficiency ranking of the office platform refers to the comprehensive ranking of the operation proficiency corresponding to the plurality of operation items, which is similar to the single family score ranking of the student score and the comprehensive ranking of the whole family score.
And a guidance recommendation module: the method is used for respectively determining a learning list in the wrong number ranking, the overall use time long ranking, the operation proficiency ranking and the comprehensive proficiency ranking according to the set ranking threshold value, recording the operation record of the learning list as a learning case, and recommending the learning case to a user with the ranking meeting the set value. The ranking threshold may be the same value N (N is a positive integer greater than 0) or may be a different value X, Y, Z, W (X, Y, Z, W is a positive integer greater than 0) for selecting excellent users. Similarly, the set values may be the same value m (m is a positive integer greater than 0) or different values x, y, z, w (z, y, z, w is a positive integer greater than 0) for selecting users who are not excellent and need guidance. The comprehensive examination statistical analysis module and the guidance recommendation module are arranged so as to be convenient for learning well and teaching learning poorly, and realize common progress. The wrong number ranking, the overall use time long ranking adopts ascending ranking, the operation proficiency ranking and the comprehensive proficiency ranking adopt descending ranking, so that the user with the first ranking is the most excellent user by default, the user with the ranking less than the ranking threshold N, X, Y, Z, W is the excellent user, and the user with the ranking greater than the set value m, x, y, z, w is the non-excellent user requiring guidance. In other words, the scheme is similar to students in schools, students with the top three, the top ten and the top hundred of learning ranks are excellent students, namely learning samples, students with the top three, the top ten and the top hundred of learning ranks are bad students, and learning samples or guided objects (bad students) can be freely selected according to actual conditions.
Forgetting instruction module: the method is used for acquiring the guide keywords input by the user, searching from the navigation titles according to the guide keywords, highlighting the search results, and recovering the prompting degree of the navigation titles. Even if the individual operation items are very skilled in the early stage, the situation that the individual operation items are forgotten is possible due to long-time non-practical operation, and when the user has the forgetting situation, the forgetting instruction module is convenient to find a corresponding means to learn again and adapt again.
And a prediction guidance module: the method is used for predicting the next operation step according to the current operation record of the user and a preset neural network model, and highlighting the operation step. Along with the proficiency of the user, a large amount of user data can be accumulated, so that the user can be portrayed through a conventional neural network model, the operation habit of the user is known, the next operation of the user can be predicted when the current operation record of the user is acquired, the situation that the user forgets to operate steps can be avoided, the user can conveniently and quickly recall correct operation steps in a highlighting indication mode, and the office efficiency is improved.
The foregoing is merely an embodiment of the present application, and general knowledge of specific structures and features well known in schemes is not described in any way herein, so that a person of ordinary skill in the art would know all of the prior art to which the present application pertains before the application date or priority date, and would be able to learn all of the prior art in this field, and have the ability to apply conventional experimental means before this date, so that a person of ordinary skill in the art could complete and implement this scheme in combination with his own capabilities, given the teachings of the present application, and some typical known structures or known methods should not be an obstacle to the implementation of the present application by those of ordinary skill in this art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (1)
1. An office platform application assessment statistical analysis system is characterized in that: the server comprises the following modules:
a user login management module: the method is used for carrying out relevant business navigation according to the set navigation title after the user registers and logs in; the method is also used for recording the login times of the user after the user is unregistered and logging in, analyzing and judging whether the login times reach a threshold value, and weakening the prompting degree of the navigation title step by step if the login times reach the threshold value;
and an operation log management module: the method comprises the steps of reading recorded operation records of a user from an operation log, analyzing starting operation and ending operation, and analyzing operation items and starting and ending time lengths of the user, as well as completion degrees and overall use time lengths of the operation items according to the starting operation, the ending operation and the operation records in between;
and an assessment statistical analysis module: the method comprises the steps of counting login times and overall use duration of a user in a set period, analyzing whether the use condition of the user reaches a minimum use standard, and generating warning information if the use condition of the user does not reach the minimum use standard; if the navigation title is reached, comprehensively checking and analyzing the proficiency of the user adapted to the office platform according to the prompt degree of the navigation title and the start-stop time length and the completion degree of the operation item; the minimum use standard is a set minimum login frequency threshold and a set shortest overall use time length threshold, and the minimum login frequency threshold and the set shortest overall use time length threshold are required to be met at the same time; the comprehensive assessment analysis is a mode of calculating a comprehensive score by adopting weight distribution and basic assignment, wherein corresponding weight and basic score are set for the prompting degree of the navigation title, different weight and basic score are respectively set for the starting and ending time length and the completion degree of the operation project, and finally the calculated comprehensive score represents the proficiency of a user adapting to an office platform;
error operation analysis module: the method comprises the steps of comparing and analyzing an operation record corresponding to an operation item with a correct flow corresponding to the operation item, analyzing error operation of a user, carrying out statistical analysis on the error operation in a set period to obtain error operation distribution data, and analyzing the operation proficiency of the user on each operation item according to the error operation distribution data and the completion degree of the operation item;
an error operation guidance module: the operation items which are used for analyzing that the user fails to realize operation progress according to the historical error operation distribution data and the operation proficiency of the corresponding operation items; the method is also used for acquiring error operation guidance corresponding to the operation item which is not operated by the user, adding the error operation guidance into the navigation title, and weakening the prompting degree of the navigation title step by step according to the calculation of the progress degree when the operation proficiency of the operation item is analyzed and judged to be improved;
comprehensive examination statistical analysis module: the comprehensive assessment analysis method comprises the steps of performing ranking analysis on comprehensive assessment analysis results of each user using the office platform in a set period, wherein the ranking analysis comprises error number ranking of error operations of each operation item, long-time ranking and operation proficiency ranking of the whole use, and comprehensive proficiency ranking suitable for the office platform; the comprehensive proficiency ranking is the comprehensive ranking of the operation proficiency of a plurality of operation items under the office platform;
and a guidance recommendation module: the method comprises the steps of respectively determining a learning list in the wrong number ranking, the overall use time long ranking, the operation proficiency ranking and the comprehensive proficiency ranking according to a set ranking threshold, recording the operation record of the learning list as a learning case, and recommending the learning case to a user with the ranking meeting a set value;
forgetting instruction module: the method comprises the steps of obtaining guide keywords input by a user, searching from a navigation title according to the guide keywords, highlighting a search result, and recovering the prompting degree of the navigation title;
and a prediction guidance module: the method is used for predicting the next operation step according to the current operation record of the user and a preset neural network model, and highlighting the operation step.
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