CN113205270B - Method and system for automatically generating satisfaction evaluation table and calculating evaluation score - Google Patents
Method and system for automatically generating satisfaction evaluation table and calculating evaluation score Download PDFInfo
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Abstract
The application discloses a method and a system for automatically generating a satisfaction evaluation table and calculating an evaluation score, and determining a satisfaction evaluation object to be evaluated; matching satisfaction evaluation templates for each satisfaction evaluation object respectively; classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object; a satisfaction evaluation table is generated. Determining the evaluation relation between each evaluator and the current satisfaction evaluation object; generating evaluation relation group data corresponding to each evaluator; classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object; respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object; the evaluation scores of the current satisfaction evaluation objects are weighted by various evaluators, and the satisfaction evaluation scores of the satisfaction evaluation objects can be calculated more accurately and can be reflected more.
Description
Technical Field
The application belongs to the technical field of terminals, and particularly relates to a method and a system for generating a satisfaction evaluation table, and a method and a system for calculating a satisfaction evaluation score.
Background
Currently, many enterprises and public institutions perform satisfaction evaluation or a manual management mode, namely, a satisfaction evaluation form is manually made through office software, paper forms are printed and issued, then scoring conditions of the paper satisfaction forms are manually collected, statistics and summarization are performed through an excel form, and a final scoring result of the satisfaction evaluation is obtained. The method has many defects, such as unnecessary human errors caused by manual arrangement, analysis and summarization measuring and calculating processes of satisfaction evaluation data, poor statistical analysis of historical data, high labor cost and the like, and causes complicated flow and low efficiency of the satisfaction evaluation process.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a method and a system for generating a satisfaction evaluation table, and a method and a system for calculating a satisfaction evaluation score.
In a first aspect, the present application provides a method for generating a satisfaction evaluation table, including:
determining a satisfaction evaluation object to be evaluated;
matching satisfaction evaluation templates for each satisfaction evaluation object respectively, wherein the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each satisfaction evaluation template comprises at least one evaluation dimension and an evaluation grade group corresponding to each evaluation dimension in the at least one evaluation dimension;
classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object, wherein the satisfaction evaluation objects with the same natural attribute belong to the same class;
and generating a satisfaction evaluation table, wherein each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute, and the same satisfaction evaluation template is adopted.
Optionally, the method further comprises: extracting an evaluation dimension and a satisfaction evaluation grade group based on the imported satisfaction evaluation method file;
constructing an evaluation dimension library, wherein each extracted evaluation dimension is stored in the evaluation dimension library;
constructing a satisfaction evaluation grade group library, wherein each satisfaction evaluation grade group is stored in the satisfaction evaluation grade group library;
extracting a target evaluation dimension from the evaluation dimension library according to a first preset rule;
according to a second preset rule, configuring a satisfaction evaluation grade group and a weight value for each extracted target evaluation dimension;
generating a satisfaction evaluation template, wherein the satisfaction evaluation template comprises each extracted target evaluation dimension, a satisfaction evaluation grade group and a weight value, wherein the satisfaction evaluation grade group corresponds to each target evaluation dimension one by one;
and constructing a satisfaction evaluation template library, wherein each generated satisfaction evaluation template is stored in the satisfaction evaluation template library.
Optionally, the natural attribute information of the satisfaction evaluation object includes an ID, a name, and a classification category of the satisfaction evaluation object.
In a second aspect, the present application provides a satisfaction evaluation score calculating method, for calculating a satisfaction evaluation score based on a satisfaction evaluation table generated by the method for generating a satisfaction evaluation table according to the first aspect, including:
determining the evaluation relation between each evaluator and the current satisfaction evaluation object;
respectively generating evaluation relation group data corresponding to each evaluator according to the evaluation relation between each evaluator and the current satisfaction evaluation object, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object;
classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information are classified into the same class relative to the current satisfaction evaluation object;
respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object;
and weighting the evaluation scores of the current satisfaction evaluation objects of various evaluators, and calculating to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
Optionally, the separately counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object includes:
according to the satisfaction evaluation templates matched with the current satisfaction evaluation objects, respectively calculating the evaluation scores of each evaluator on the current satisfaction evaluation objects;
and respectively counting the average value of the evaluation scores of all the evaluators in each class of evaluators on the current satisfaction evaluation object, wherein the average value is used as the evaluation score of each class of evaluators on the current satisfaction evaluation object.
Optionally, the identity attribute information of the evaluator includes a generic upper level, a strong correlation upper level, a weak correlation upper level, a strong correlation peer, a weak correlation peer, and others.
Optionally, the determining the evaluation relationship between each evaluator and the current satisfaction evaluation object includes:
importing an organization management structure diagram;
according to the organization management structure diagram, the evaluation relation between each evaluator and the current satisfaction evaluation object is automatically determined; or,
through the visual UI, the evaluation relation between each evaluator and the current satisfaction evaluation object is determined.
Optionally, the determining the evaluation relationship between each evaluator and the current satisfaction evaluation object includes:
extracting satisfaction evaluation rules based on the imported satisfaction evaluation method file, wherein the satisfaction evaluation rules at least comprise an evaluator, a satisfaction evaluation object and an evaluation method between the evaluator and the satisfaction evaluation object;
analyzing the extracted satisfaction evaluation rule;
and determining the evaluation relation between each evaluator and the current satisfaction evaluation object according to the analysis result of the extracted satisfaction evaluation rule.
In a third aspect, the present application provides a system for generating a satisfaction evaluation table, including:
the first determining module is used for determining a satisfaction evaluation object to be evaluated;
the matching module is used for respectively matching satisfaction evaluation templates for each satisfaction evaluation object, wherein the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each satisfaction evaluation template comprises at least one evaluation dimension and an evaluation grade group corresponding to each evaluation dimension in the at least one evaluation dimension;
the first classification module is used for classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object, wherein the satisfaction evaluation objects with the same natural attribute belong to the same class;
the first generation module is used for generating satisfaction evaluation tables, wherein each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute, and the same satisfaction evaluation template is adopted.
In a fourth aspect, the present application provides a satisfaction evaluation score calculation system for calculating a satisfaction evaluation score based on a satisfaction evaluation table generated by the satisfaction evaluation table generation system according to the third aspect, including:
the second determining module is used for determining the evaluation relation between each evaluator and the current satisfaction evaluation object;
the second generation module is used for respectively generating evaluation relation group data corresponding to each evaluator according to the evaluation relation between each evaluator and the current satisfaction evaluation object, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object;
the second classification module is used for classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information relative to the current satisfaction evaluation object belong to the same class;
the statistics module is used for respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object;
and the calculation module is used for weighting the evaluation scores of the current satisfaction evaluation objects of various evaluators and calculating to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
According to the satisfaction evaluation table generation method and system, satisfaction evaluation objects belonging to the same natural attribute are automatically placed together for evaluation comparison, then whether the satisfaction evaluation objects adopt the same satisfaction evaluation template or not is checked in each satisfaction evaluation object category, and the satisfaction evaluation objects adopting the same template are placed in the same satisfaction evaluation table. The system automatically classifies and merges the natural attribute of the satisfaction evaluation object associated with each evaluator and the satisfaction evaluation template type adopted by the satisfaction evaluation object, and finally generates a satisfaction evaluation table required to be evaluated by each evaluator. The satisfaction evaluation score calculating method provided by the application comprises the steps of firstly determining the evaluation relation between each evaluator and a current satisfaction evaluation object; then, according to the evaluation relation between each evaluator and the current satisfaction evaluation object, respectively generating evaluation relation group data corresponding to each evaluator, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object; classifying the evaluators according to the identity attribute information of the evaluators relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information belong to the same class relative to the current satisfaction evaluation object; respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object; finally, the evaluation scores of various evaluators on the current satisfaction evaluation objects are weighted, and the satisfaction evaluation scores which are more accurate and can reflect the real conditions of the satisfaction evaluation objects are obtained through calculation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a workflow diagram of a method for generating a satisfaction evaluation table according to an embodiment of the present application;
FIG. 2 is a workflow diagram of a method of constructing a satisfaction evaluation template library according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a satisfaction evaluation table generated by a method for generating a satisfaction evaluation table according to a first embodiment of the present application;
FIG. 4 is a flowchart of a method for calculating a satisfaction evaluation score according to a second embodiment of the present application;
fig. 5 is a block diagram of a system for generating a satisfaction evaluation table according to a third embodiment of the present application;
fig. 6 is a block diagram of a satisfaction evaluation score computing system according to a fourth embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
An embodiment of the present application provides a method for generating a satisfaction evaluation table, as shown in fig. 1, including the following steps:
and 10, determining a satisfaction evaluation object to be evaluated.
The satisfaction evaluation object to be evaluated refers to an object which needs to be subjected to satisfaction evaluation by an evaluator in the current satisfaction evaluation activity, wherein the satisfaction evaluation object to be evaluated can be one or more, and the satisfaction evaluation object to be evaluated is not limited in the application. For example, in the current satisfaction evaluation activity, the satisfaction evaluation object to be evaluated may include a satisfaction evaluation object 1, a satisfaction evaluation object 2, a satisfaction evaluation object 3, and a satisfaction evaluation object 4.
And step 11, matching satisfaction evaluation templates for each satisfaction evaluation object respectively, wherein the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each satisfaction evaluation template comprises at least one evaluation dimension and an evaluation grade group corresponding to each evaluation dimension in the at least one evaluation dimension.
To facilitate an understanding of the above step 11, description will be made below of a description satisfaction evaluation template library.
In the embodiment of the present application, before the step of generating the satisfaction evaluation table, a satisfaction evaluation template library may be pre-established, so that when the satisfaction evaluation table is generated, a satisfaction evaluation template may be more conveniently matched for each satisfaction evaluation object. The method for constructing the satisfaction evaluation template library is not limited in this application, and in one possible manner, as shown in fig. 2, the method may include the following steps:
step 110, extracting an evaluation dimension and a satisfaction evaluation grade group based on the imported satisfaction evaluation method file.
The satisfaction evaluation method file may be a satisfaction evaluation table commonly used by enterprises and public institutions, or text description of the satisfaction evaluation activity by the enterprises and public institutions, etc., and the information extraction may be performed on the imported satisfaction evaluation method file to extract the required evaluation dimension and satisfaction evaluation grade group information.
The above information extraction step is performed for each imported satisfaction evaluation method file, and therefore, a considerable number of evaluation dimensions and satisfaction evaluation rank groups can be obtained.
And 111, constructing an evaluation dimension library, wherein each extracted evaluation dimension is stored in the evaluation dimension library.
Based on the evaluation dimensions extracted in step 110, an evaluation dimension library is constructed. The evaluation dimension library is an extensible basic public information library, and evaluation dimensions can be added, deleted or modified in the evaluation dimension library along with the accumulation of time, and the application is not limited to the above.
And 112, constructing a satisfaction evaluation grade group library, wherein each satisfaction evaluation grade group is stored in the satisfaction evaluation grade group library.
Based on the individual satisfaction evaluation level groups extracted in the above step 110, a satisfaction evaluation level group library is constructed. The satisfaction evaluation level group library is an extensible basic public information library, and as time goes by, satisfaction evaluation level groups can be added, deleted or modified in the satisfaction evaluation level group library, and the application is not limited to this.
Embodiments of the present application may also include a process of constructing each satisfaction evaluation level group, for example, a satisfaction evaluation level group name may be defined first; then, a corresponding satisfaction evaluation level may be configured for the satisfaction evaluation level group according to first configuration information, where the first configuration information may include a name of each satisfaction evaluation level, a display order of each satisfaction evaluation level in the satisfaction evaluation level group, a score corresponding to each satisfaction evaluation level, and the like.
And 113, extracting a target evaluation dimension from the evaluation dimension library according to a first preset rule.
The first preset rule is not limited, and may be, for example, a first preset rule set according to a satisfaction evaluation method specified in the imported satisfaction evaluation method file.
The first preset rule may further include a display sequence of each extracted target evaluation dimension in a subsequent satisfaction evaluation template.
Step 114, according to a second preset rule, configuring groups such as satisfaction evaluation and weight values for each extracted target evaluation dimension.
The second preset rule is not limited in this application, and for example, the second preset rule may be a second preset rule set according to a satisfaction evaluation method specified in the imported satisfaction evaluation method file.
Step 115, generating a satisfaction evaluation template, wherein the satisfaction evaluation template comprises each extracted target evaluation dimension, and a satisfaction evaluation grade group and a weight value which are in one-to-one correspondence with each target evaluation dimension.
It should be noted that, the satisfaction evaluation level groups corresponding to different target evaluation dimensions in the satisfaction evaluation template may be the same or different, which is not limited in the present application.
And 116, constructing a satisfaction evaluation template library, wherein each generated satisfaction evaluation template is stored in the satisfaction evaluation template library.
To facilitate subsequent use of the satisfaction evaluation template library, a unique name may be defined for each satisfaction evaluation template in the satisfaction evaluation template library.
Therefore, in the embodiment of the application, by constructing a satisfaction evaluation template library which can be flexibly expanded in advance, when the satisfaction evaluation template library is used for generating a satisfaction evaluation table, dynamic combination can be performed according to an actual service scene.
The method for matching the satisfaction evaluation templates for each satisfaction evaluation object is not limited, for example, the satisfaction evaluation templates can be matched for each satisfaction evaluation object based on the matching instruction input by the user; for another example, a satisfaction evaluation template may be respectively matched for each of the satisfaction evaluation subjects based on the current satisfaction evaluation activity rule.
And step 12, classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object, wherein the satisfaction evaluation objects with the same natural attribute belong to the same class.
Each satisfaction evaluation object can carry natural attribute information corresponding to the satisfaction evaluation object, and the natural attribute information is used for identifying the classification category of the satisfaction evaluation object. Therefore, the satisfaction evaluation object may be classified by natural attribute information, wherein the natural attribute information may include an ID, a name, and a classification category of the satisfaction evaluation object, and the classification category may be, for example, a national institution, a public institution, or an enterprise; or administrative departments, business departments, sales departments, research and development operation departments and the like; or administrative staff, business staff, sales staff, research staff, etc., i.e., the satisfaction evaluation object may be an enterprise, a department within the enterprise, or an individual, which is not limited in this application.
In a specific example, the satisfaction evaluation object to be evaluated may be classified as belonging to an administrative person, the satisfaction evaluation object to be evaluated may be classified as belonging to a business person, and the satisfaction evaluation object to be evaluated may be classified as belonging to a sales person.
And 13, generating a satisfaction evaluation table, wherein each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute, and the same satisfaction evaluation template is adopted.
In the embodiment of the application, satisfaction evaluation objects belonging to the same natural attribute are automatically put together for evaluation comparison, and then whether the satisfaction evaluation objects adopt the same satisfaction evaluation template or not is checked in each satisfaction evaluation object classification, and the satisfaction evaluation objects adopting the same template are placed in the same satisfaction evaluation table. The system automatically classifies and merges the natural attribute of the satisfaction evaluation object associated with each evaluator and the satisfaction evaluation template type adopted by the satisfaction evaluation object, and finally generates a satisfaction evaluation table required to be evaluated by each evaluator. From this, it is known that the number of satisfaction evaluation tables generated by the system for each evaluator may be 1 or more, wherein the number of generated satisfaction evaluation tables is determined based on the number of categories in which the natural attribute information of the satisfaction evaluation object is classified, and the number of different satisfaction evaluation templates employed in each of the classification categories.
It should be understood that, in the generated satisfaction evaluation form main body structure, as shown in fig. 3, a satisfaction evaluation form title, an opinion and advice title column, a form filling description title column, and an evaluation date filling area, an evaluator information filling area, and the like may be further included.
A second embodiment of the present application provides a satisfaction evaluation score calculating method, which calculates a satisfaction evaluation score based on a satisfaction evaluation table generated by the satisfaction evaluation table generating method provided in the first embodiment, as shown in fig. 4, including the steps of:
and 20, determining the evaluation relation between each evaluator and the current satisfaction evaluation object.
It should be noted that, in the scene of the satisfaction evaluation activity, one or more evaluation objects may be included to evaluate one or more satisfaction evaluation objects. The identity attribute information of the same evaluator may be different with respect to the different satisfaction evaluation objects, that is, the identity attribute information of each evaluator is a non-fixed and dynamic information, so that the evaluation relationship between each evaluator and the current satisfaction evaluation object is determined in step 20.
The method for determining the evaluation relationship between each evaluator and the current satisfaction evaluation target is not limited, and several possible methods are listed.
In a first possible manner, the organization management architecture diagram may be imported in advance; and then, according to the organization management architecture diagram, automatically determining the evaluation relation between each evaluator and the current satisfaction evaluation object.
In a second possible manner, the evaluation relationship of each evaluator with the current satisfaction evaluation object may be determined through a visual UI.
In a third possible manner, a satisfaction evaluation rule may be extracted based on the imported satisfaction evaluation method file, where the satisfaction evaluation rule includes at least an evaluator, a satisfaction evaluation object, and an evaluation method between the evaluator and the satisfaction evaluation object; then, analyzing the extracted satisfaction evaluation rule; and finally, determining the evaluation relation between each evaluator and the current satisfaction evaluation object according to the analysis result of the extracted satisfaction evaluation rule.
And 21, respectively generating evaluation relation group data corresponding to each evaluator according to the evaluation relation between each evaluator and the current satisfaction evaluation object, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object.
According to the above step 21, the identity attribute information of each evaluator with respect to the current satisfaction evaluation object can be obtained. The identity attribute information may be directly superior, strongly related superior, weakly related superior, strongly related peer, weakly related peer, and the like, which is not limited in this application.
The evaluation relationship group data may include natural attribute information of the current satisfaction evaluation object, and identity attribute information of the current evaluator with respect to the current satisfaction evaluation object, for example: the current satisfaction evaluation object is a salesperson, the current evaluator is the salesperson, the evaluation relation group data comprises a strong correlation peer and a salesperson, and the evaluation relation group data indicates that the identity attribute information of the current evaluator relative to the current satisfaction evaluation object is the strong correlation peer.
Step 22, classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information relative to the current satisfaction evaluation object belong to the same class.
For the same satisfaction evaluation object, the influence of the evaluators with different identity attribute information on the evaluation is different, so in order to obtain a satisfaction evaluation score which is more accurate and can reflect the real situation of each satisfaction evaluation object, the embodiment of the application classifies each evaluators evaluating the same satisfaction evaluation object, and then respectively counts the evaluation score of each category of evaluators on the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information belong to the same category. For example: for the current satisfaction evaluation object, the identity attribute information of the evaluator a is directly superior, the identity attribute information of the evaluator B is strongly related superior, the identity attribute information of the evaluator C is weakly related superior, the identity attribute information of the evaluator D is directly superior, the identity attribute information of the evaluator E is strongly related superior, and the identity attribute information of the evaluator F is weakly related superior, then in the step 22, the evaluations of the evaluator a and the evaluator D on the current satisfaction evaluation object are classified, the evaluations of the evaluator B and the evaluator E on the current satisfaction evaluation object are classified, and the evaluations of the evaluator C and the evaluator F on the current satisfaction evaluation object are classified.
And step 23, respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object.
Before the evaluation scores of the current satisfaction evaluation objects of each class of evaluators are counted, the evaluation scores of the current satisfaction evaluation objects of each evaluators are automatically calculated according to the satisfaction evaluation templates matched with the current satisfaction evaluation objects. As is known from the above-described related steps of constructing the satisfaction evaluation template library, each satisfaction evaluation template includes at least one evaluation dimension, an evaluation level group corresponding to each of the at least one evaluation dimension, a weight value corresponding to each evaluation dimension, and a score corresponding to each evaluation level in each evaluation level group, and therefore, the evaluation score of each evaluator on the current satisfaction evaluation object can be automatically calculated based on the satisfaction evaluation template matched with the current satisfaction evaluation object, respectively.
After the evaluation score of each evaluator on the current satisfaction evaluation object is calculated, the evaluation score of each evaluator on the current satisfaction evaluation object is counted according to the classification result of the step 22. The method for counting the evaluation scores of the current satisfaction evaluation object of each class of evaluators is not limited, and in one possible manner, average values of the evaluation scores of the current satisfaction evaluation object of all evaluators in each class of evaluators can be counted respectively, wherein the average values are used as the evaluation scores of the current satisfaction evaluation object of each class of evaluators. For example, the average value of the evaluation scores of the evaluators a and D for the current satisfaction evaluation object is counted, and the average value is used as the evaluation score of the category of evaluators for the current satisfaction evaluation object.
And step 24, weighting the evaluation scores of the current satisfaction evaluation objects of various evaluators, and calculating to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
Because the evaluators with different identity attribute information have different influence weights on the evaluation of the same satisfaction evaluation object, in order to obtain the satisfaction evaluation score which is more accurate and can reflect the real situation of each satisfaction evaluation object, the application obtains the satisfaction evaluation score of the current satisfaction evaluation object by configuring corresponding weight values for all kinds of evaluators of the current satisfaction evaluation object, then weighting the evaluation score of the current satisfaction evaluation object by all kinds of evaluators and finally calculating.
When the same evaluator evaluates different satisfaction evaluation targets, the weight values corresponding to the evaluators may be the same or different, and the present application is not limited to this.
It should be understood that, when each evaluator evaluates each satisfaction evaluation object, the satisfaction evaluation score of each satisfaction evaluation object may be calculated by using the above steps.
In summary, a second embodiment of the present application provides a satisfaction evaluation score calculating method, where an evaluation relationship between each evaluator and a current satisfaction evaluation object is determined first; then, according to the evaluation relation between each evaluator and the current satisfaction evaluation object, respectively generating evaluation relation group data corresponding to each evaluator, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object; classifying the evaluators according to the identity attribute information of the evaluators relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information belong to the same class relative to the current satisfaction evaluation object; respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object; finally, the evaluation scores of various evaluators on the current satisfaction evaluation objects are weighted, and the satisfaction evaluation scores which are more accurate and can reflect the real conditions of the satisfaction evaluation objects are obtained through calculation.
An embodiment III of the present application provides a system for generating a satisfaction evaluation table, as shown in fig. 5, including:
a first determining module 100, configured to determine a satisfaction evaluation object to be evaluated;
a matching module 110, configured to match satisfaction evaluation templates for each of the satisfaction evaluation objects, where the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each of the satisfaction evaluation templates includes at least one evaluation dimension, and an evaluation class group corresponding to each of the at least one evaluation dimension;
a first classification module 120, configured to classify each satisfaction evaluation object according to natural attribute information of each satisfaction evaluation object, where satisfaction evaluation objects having the same natural attribute belong to the same class;
a first generating module 130, configured to generate a satisfaction evaluation table, where each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute and adopts the same satisfaction evaluation template.
Further, the system for generating the satisfaction evaluation table further comprises:
the extraction module is used for extracting an evaluation dimension and a satisfaction evaluation grade group based on the imported satisfaction evaluation method file;
the evaluation dimension library construction module is used for constructing an evaluation dimension library, and each extracted evaluation dimension is stored in the evaluation dimension library;
the satisfaction evaluation grade group library construction module is used for constructing a satisfaction evaluation grade group library, and each satisfaction evaluation grade group is stored in the satisfaction evaluation grade group library;
the extraction module is used for extracting a target evaluation dimension from the evaluation dimension library according to a first preset rule;
the configuration module is used for configuring groups such as satisfaction evaluation and the like and weight values for each extracted target evaluation dimension according to a second preset rule;
the third generation module is used for generating a satisfaction evaluation template, wherein the satisfaction evaluation template comprises each extracted target evaluation dimension, a satisfaction evaluation group and a weight value corresponding to each target evaluation dimension one by one;
the satisfaction evaluation template library construction module is used for constructing a satisfaction evaluation template library, and each generated satisfaction evaluation template is stored in the satisfaction evaluation template library.
A fourth embodiment of the present application provides a satisfaction evaluation score calculation system, which calculates a satisfaction evaluation score based on a satisfaction evaluation table generated by the satisfaction evaluation table generation system described in the third embodiment, as shown in fig. 6, including:
a second determining module 200, configured to determine an evaluation relationship between each evaluator and the current satisfaction evaluation object;
a second generating module 210, configured to generate, according to the evaluation relationships between each evaluator and the current satisfaction evaluation object, evaluation relationship group data corresponding to each evaluator, where each evaluation relationship group data includes identity attribute information of the current evaluator relative to the current satisfaction evaluation object;
a second classification module 220, configured to classify each evaluator according to identity attribute information of each evaluator with respect to a current satisfaction evaluation object, where, with respect to the current satisfaction evaluation object, the evaluators having the same identity attribute information belong to the same class;
a statistics module 230, configured to separately count the evaluation scores of each class of evaluators on the current satisfaction evaluation object;
and the calculating module 240 is configured to weight the evaluation scores of the current satisfaction evaluation objects of various evaluators, and calculate to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
The same or similar parts between the various embodiments in this specification are referred to each other. In particular, for embodiments of the system, since they are substantially similar to the method embodiments, the description is relatively simple, as far as reference is made to the description in the method embodiments.
The foregoing detailed description has been provided for the purposes of illustration in connection with specific embodiments and exemplary examples, but such description is not to be construed as limiting the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications and improvements may be made to the technical solution of the present application and its embodiments without departing from the spirit and scope of the present application, and these all fall within the scope of the present application. The scope of the application is defined by the appended claims.
In a specific implementation, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium may store a program, where the program may include some or all of the steps in each embodiment of the method for generating a satisfaction evaluation table provided in the present application when executed. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (random access memory, RAM), or the like.
The embodiments of the present application also provide another computer-readable storage medium, where the computer-readable storage medium may store a program that, when executed, may include some or all of the steps in the embodiments of the satisfaction evaluation score calculation method provided herein. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (random access memory, RAM), or the like.
It will be apparent to those skilled in the art that the techniques in the embodiments of the present application may be implemented in software plus the necessary general hardware platform. Based on such understanding, the technical solutions in the embodiments of the present application may be embodied in essence or what contributes to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present application.
The above-described embodiments of the present application are not intended to limit the scope of the present application.
Claims (8)
1. A method of generating a satisfaction evaluation table, comprising:
determining a satisfaction evaluation object to be evaluated;
matching satisfaction evaluation templates for each satisfaction evaluation object respectively, wherein the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each satisfaction evaluation template comprises at least one evaluation dimension and an evaluation grade group corresponding to each evaluation dimension in the at least one evaluation dimension;
classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object, wherein the satisfaction evaluation objects with the same natural attribute belong to the same class, and the natural attribute information of the satisfaction evaluation objects comprises the ID, the name and the classification class of the satisfaction evaluation objects;
generating a satisfaction evaluation table, wherein each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute, and the satisfaction evaluation table adopts the same satisfaction evaluation template, and comprises a satisfaction evaluation table title, an opinion and suggestion title column, a form filling description title column, an evaluation date filling area and an evaluator information filling area; the number of the generated satisfaction evaluation tables is determined according to the number of categories classified according to the natural attribute information of the satisfaction evaluation object and the number of different satisfaction evaluation templates adopted in each classification category;
the method for generating the satisfaction evaluation table further comprises the following steps:
extracting an evaluation dimension and a satisfaction evaluation grade group based on the imported satisfaction evaluation method file, wherein a satisfaction evaluation grade group name is defined; configuring corresponding satisfaction evaluation grades for the satisfaction evaluation grade group according to first configuration information, wherein the first configuration information comprises the names of the satisfaction evaluation grades, the display sequence of the satisfaction evaluation grades in the satisfaction evaluation grade group and the scores corresponding to the satisfaction evaluation grades;
constructing an evaluation dimension library, wherein each extracted evaluation dimension is stored in the evaluation dimension library;
constructing a satisfaction evaluation grade group library, wherein each satisfaction evaluation grade group is stored in the satisfaction evaluation grade group library;
extracting a target evaluation dimension from the evaluation dimension library according to a first preset rule;
according to a second preset rule, configuring a satisfaction evaluation grade group and a weight value for each extracted target evaluation dimension;
generating a satisfaction evaluation template, wherein the satisfaction evaluation template comprises each extracted target evaluation dimension, a satisfaction evaluation grade group and a weight value, wherein the satisfaction evaluation grade group corresponds to each target evaluation dimension one by one;
and constructing a satisfaction evaluation template library, wherein each generated satisfaction evaluation template is stored in the satisfaction evaluation template library.
2. A satisfaction evaluation score calculation method, characterized by calculating a satisfaction evaluation score based on a satisfaction evaluation table generated by the satisfaction evaluation table generation method of claim 1, comprising:
determining the evaluation relation between each evaluator and the current satisfaction evaluation object;
respectively generating evaluation relation group data corresponding to each evaluator according to the evaluation relation between each evaluator and the current satisfaction evaluation object, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object;
classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information are classified into the same class relative to the current satisfaction evaluation object;
respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object;
and weighting the evaluation scores of the current satisfaction evaluation objects of various evaluators, and calculating to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
3. The method according to claim 2, wherein the separately counting the evaluation scores of each class of evaluators for the current satisfaction evaluation object comprises:
according to the satisfaction evaluation templates matched with the current satisfaction evaluation objects, respectively calculating the evaluation scores of each evaluator on the current satisfaction evaluation objects;
and respectively counting the average value of the evaluation scores of all the evaluators in each class of evaluators on the current satisfaction evaluation object, wherein the average value is used as the evaluation score of each class of evaluators on the current satisfaction evaluation object.
4. A method as claimed in claim 2, wherein the identity attribute information of the evaluator comprises generic upper level, associated peer.
5. The method of claim 2, wherein said determining the rating relationship of each evaluator to the current satisfaction rating object comprises:
importing an organization management structure diagram;
according to the organization management structure diagram, the evaluation relation between each evaluator and the current satisfaction evaluation object is automatically determined; alternatively, through the visual UI, the evaluation relationship between each evaluator and the current satisfaction evaluation object is determined.
6. The method of claim 2, wherein said determining the rating relationship of each evaluator to the current satisfaction rating object comprises:
extracting satisfaction evaluation rules based on the imported satisfaction evaluation method file, wherein the satisfaction evaluation rules at least comprise an evaluator, a satisfaction evaluation object and an evaluation method between the evaluator and the satisfaction evaluation object;
analyzing the extracted satisfaction evaluation rule;
and determining the evaluation relation between each evaluator and the current satisfaction evaluation object according to the analysis result of the extracted satisfaction evaluation rule.
7. A satisfaction evaluation form generation system, comprising:
the first determining module is used for determining a satisfaction evaluation object to be evaluated;
the matching module is used for respectively matching satisfaction evaluation templates for each satisfaction evaluation object, wherein the satisfaction evaluation templates are stored in a satisfaction evaluation template library, and each satisfaction evaluation template comprises at least one evaluation dimension and an evaluation grade group corresponding to each evaluation dimension in the at least one evaluation dimension;
the first classification module is used for classifying each satisfaction evaluation object according to the natural attribute information of each satisfaction evaluation object, wherein the satisfaction evaluation objects with the same natural attribute belong to the same class, and the natural attribute information of the satisfaction evaluation objects comprises the ID, the name and the classification class of the satisfaction evaluation object;
a first generation module, configured to generate a satisfaction evaluation table, where each satisfaction evaluation object in the same satisfaction evaluation table has the same natural attribute and adopts the same satisfaction evaluation template, and the satisfaction evaluation table includes a satisfaction evaluation table title, an opinion and suggestion title bar, a form filling description title bar, an evaluation date filling area, and an evaluator information filling area; the number of the generated satisfaction evaluation tables is determined according to the number of categories classified according to the natural attribute information of the satisfaction evaluation object and the number of different satisfaction evaluation templates adopted in each classification category;
the satisfaction evaluation table generation system further comprises:
the extraction module is used for extracting an evaluation dimension and a satisfaction evaluation grade group based on the imported satisfaction evaluation method file;
the evaluation dimension library construction module is used for constructing an evaluation dimension library, and each extracted evaluation dimension is stored in the evaluation dimension library; the satisfaction evaluation grade group library construction module is used for constructing a satisfaction evaluation grade group library, wherein each satisfaction evaluation grade group is stored in the satisfaction evaluation grade group library, and the name of the satisfaction evaluation grade group is defined; configuring corresponding satisfaction evaluation grades for the satisfaction evaluation grade group according to first configuration information, wherein the first configuration information comprises the names of the satisfaction evaluation grades, the display sequence of the satisfaction evaluation grades in the satisfaction evaluation grade group and the scores corresponding to the satisfaction evaluation grades;
the extraction module is used for extracting a target evaluation dimension from the evaluation dimension library according to a first preset rule;
the configuration module is used for configuring groups such as satisfaction evaluation and the like and weight values for each extracted target evaluation dimension according to a second preset rule;
the third generation module is used for generating a satisfaction evaluation template, wherein the satisfaction evaluation template comprises each extracted target evaluation dimension, a satisfaction evaluation group and a weight value corresponding to each target evaluation dimension one by one; the satisfaction evaluation template library construction module is used for constructing a satisfaction evaluation template library, and each generated satisfaction evaluation template is stored in the satisfaction evaluation template library.
8. A satisfaction evaluation score calculation system, characterized by calculating a satisfaction evaluation score based on a satisfaction evaluation table generated by the satisfaction evaluation table generation system of claim 7, comprising:
the second determining module is used for determining the evaluation relation between each evaluator and the current satisfaction evaluation object;
the second generation module is used for respectively generating evaluation relation group data corresponding to each evaluator according to the evaluation relation between each evaluator and the current satisfaction evaluation object, wherein each evaluation relation group data comprises identity attribute information of the current evaluator relative to the current satisfaction evaluation object;
the second classification module is used for classifying each evaluator according to the identity attribute information of each evaluator relative to the current satisfaction evaluation object, wherein the evaluators with the same identity attribute information relative to the current satisfaction evaluation object belong to the same class;
the statistics module is used for respectively counting the evaluation scores of each class of evaluators on the current satisfaction evaluation object;
and the calculation module is used for weighting the evaluation scores of the current satisfaction evaluation objects of various evaluators and calculating to obtain the satisfaction evaluation score of the current satisfaction evaluation objects.
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