CN116719996A - Mobile phone application adding, screening and managing system suitable for APP interaction platform - Google Patents
Mobile phone application adding, screening and managing system suitable for APP interaction platform Download PDFInfo
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Abstract
The invention discloses a mobile phone application adding screening management system suitable for an APP interaction platform, which belongs to the field of screening management systems and comprises a screening requirement confirmation module, a screening interface design module, a screening function adding module, a screening result display module, a screening management module, a user feedback module and a testing and optimizing module; according to the method and the system, customized selection and screening results, custom screening condition options and custom screening management settings are provided through intelligent field technology according to the preferences and requirements of users, so that the users are helped to better meet personalized application requirements, the users can find required applications faster, personalized recommendation and accurate screening functions are provided, and trouble caused by information overload is reduced.
Description
Technical Field
The invention relates to the field of screening management systems, in particular to a mobile phone application adding screening management system suitable for an APP interaction platform.
Background
With the progress of mobile network technology, the popularization of smart phones and the rapid development of mobile equipment, the development of society and the change of life style are also diversified, the demands of people for mobile phone applications are also more and more diversified, more and more people begin to use the mobile phones to perform various tasks and activities including communication, entertainment, shopping, social activities and the like, the popularization of mobile equipment provides wide user basis and market demands for the rising of mobile phone applications, the rising of mobile phone application markets causes more and more developers to input, the number of applications is increased, and the demands are also generated on the aspects of application screening and management by people;
the number of applications in the mobile phone application market is huge, users often face the problem of information overload, a screening management system can filter and display related and demand-meeting applications according to screening conditions and preferences of the users, the users can be helped to find the needed applications more quickly, personalized recommendation and accurate screening functions are provided, trouble caused by information overload is reduced, some screening management systems may lack of personalized recommendation functions, only the screening conditions set by the users are relied on to display results, so that the users cannot obtain more accurate and personalized recommendation, some applications meeting interests and demands of the users are missed, and some screening management systems of mobile phone applications may have complex settings and options, so that the users are confused and inconvenient in the use process. Excessive filtering conditions and options can be overwhelming for the user, affecting the user experience and smoothness of operation.
Disclosure of Invention
The invention aims to provide a mobile phone application adding screening management system suitable for an APP interaction platform, which is used for solving the problems set forth in the background technology:
however, some screening management systems may lack personalized recommendation functions, and only rely on the screening conditions set by the user to display the results, so that the user cannot obtain more accurate and personalized recommendations, and miss some applications meeting the interests and demands of the user. Some screening management systems for mobile applications may have complex settings and options that can cause confusion and inconvenience to the user during use. Excessive filtering conditions and options can be overwhelming for the user, affecting the user experience and smoothness of operation.
A mobile phone application adding, screening and managing system suitable for an APP interaction platform comprises a screening requirement confirming module, a screening interface designing module, a screening function adding module, a screening result displaying module, a screening and managing module, a user feedback module and a testing and optimizing module;
the screening requirement confirming module comprises a screening requirement information collecting module and an information sorting module;
the screening result display module displays a screening result display page through a list, a grid and a map view;
the information sorting module sorts and sorts the screening requirement information data of the users according to the screening requirement data characteristics of the users;
the user screening requirement information data is applied to the presentation of contents and functions in the screening interface design module;
the screening condition options presented by the interface in the screening interface design module are logically consistent with the function codes added in the screening function module, after a user confirms screening requirements and selects the screening condition options, the interface transmits the screening conditions selected by the user to the screening function to perform data query and filtering operation, and the screening function filters data according to the screening options selected by the user and returns a result set conforming to the conditions;
the result set is displayed in the screening result display page, and a screening management function is set in the screening result display page and is applied to the screening management module;
and the user feedback module collects user feedback information data, and the user feedback information data is applied to and improved in the screening interface design module, the screening function adding module, the screening result display module and the screening management module.
By connecting the steps, a complete, coherent and functional mobile phone application adding screening management system suitable for the APP interaction platform can be created. The design and implementation of each step is related to other steps, and together form the functions and user experience of the system
Preferably, the screening requirement confirmation module needs to determine the content and the function including commodity type, geographic position and price range which need to be screened in the application according to the characteristics and the fields of the application and the characteristics collected and collected in the screening requirement information collection module and the information collection module in the clear application, determine the main screening category in the application, define corresponding options for each screening category condition, collect and process user data under legal, transparent and ethical frames, and protect the privacy of users and respect the rights and interests of the users, thereby being the basis for constructing trusted and successful applications. Ensuring that users are able to understand and control their data and provide proper selection and rights management, while combining analysis results with user feedback and behavioral data is needed to gain comprehensive insight and to optimize and improve screening functions based upon such insight.
Preferably, the screening interface design uses screening UI elements including drop-down menus, check boxes and sliders; determining the display type of screening conditions including a drop-down list, a folding panel, a color selector and a sliding block, and allowing a user to customize the display mode or the ordering sequence of the screening conditions; displaying the distribution and importance of screening conditions in a mode including charts, heat maps and tag clouds; a user-friendly plate special for providing feedback is arranged, so that more convenient feedback operation is realized.
Preferably, the screening function adding module uses programming language and database query to realize the screening function according to the application architecture and the technology stack, when the application f is the front-end application, the technology stack is HTML, CSS, javaScript, the front-end framework, the programming language used is JavaScript, a request is sent to the back-end API through the front-end, and the database query language is used by the back-end.
Preferably, the screening result display module is an interactive interface, and uses gesture operations including sliding bar, dragging, zooming in and out to adjust the range and the detail degree of the result;
the interface is realized by utilizing a machine learning and recommending algorithm according to the preference and the historical behavior of the user, and personalized screening result recommendation is provided; when the interface displays the screening result, the result is associated with other related data or information to provide a richer context, and if the user selects the screening condition a, the screening condition b and the screening condition c related to the screening condition a are displayed; the interface presents screening results through narrative, converts the screening results into an interesting story and situation, presents the screening results as a storyboard, and guides a user to explore and understand according to the story development sequence; providing a mechanism for user feedback and evaluation in screening result display, so that users participate in the screening result display to share experience and views; multiple tags, tag clouds, or groupings are used to expose different attributes or features of the results.
Preferably, the screening management module comprises a self-defined screening condition module, an intelligent recommendation module, a classification management screening condition module, a condition collaboration sharing module, a condition version control module and a quick search filtering module;
the classification management module provides a function of saving screening conditions, creates different screening condition sets or folders, classifies the conditions and realizes rapid switching of different screening combinations;
the self-defined screening condition module adds the functions of deleting, editing and sharing the screening conditions, allows a user to create the self-defined screening conditions, and defines new screening conditions including labels, keywords and attributes according to preference and specific search requirements;
the condition collaboration sharing module allows users to share and collaborate with screening conditions in a team or community, and share the screening conditions of the users to others so as to realize collaborative creation and management of a condition set;
the intelligent management module provides intelligent recommended screening conditions based on historical data and behavior analysis of the user. Through machine learning and data mining technologies including collaborative filtering, decision tree, cluster analysis, association rule mining and deep learning, the system can learn preferences and habits of users, automatically recommend screening conditions suitable for the users, simplify the management process, provide intelligent recommended condition combinations according to user selection and targets, analyze behaviors and preferences of the users, automatically combine and adjust the screening conditions, and provide more accurate and efficient search results. These machine learning and data mining techniques may combine behavior data, attribute data, and other relevant data of the user to perform model training and inference to enable learning and understanding of user preferences and habits. By continuously collecting and updating user data and continuously optimizing the model, more accurate and personalized application recommendation and screening services can be provided.
The conditional version control system adds a version control function for the screening conditions, allows a user to save and manage the condition settings of different versions, switches and compares the screening conditions of different versions, and backtracks the condition settings of different versions.
Preferably, the user feedback module provides a plurality of feedback forms including a text input box, a single or multiple choice option, a scoring system and a sliding bar; selecting a real-time feedback mechanism and an asynchronous feedback mechanism according to the nature and the requirements of the application, wherein the real-time feedback can immediately respond to the feedback of a user in a mode of real-time chat and online customer service, and the asynchronous feedback allows the user to submit the feedback through a form, a mail and a message board when the user is convenient; providing different types of feedback options including Bug reports, function requests, user experience questions, suggestions for the user; allowing the user to provide feedback in a particular context, providing a specialized feedback portal for which feedback is provided when the user is using a particular function and encountering a particular problem; and establishing a feedback processing and follow-up flow, and ensuring that the feedback of the user is timely and properly processed. Setting a feedback processing team or responsible person, tracking and replying to the feedback of the user, and providing reasonable explanation and solution; automated acknowledgement mail and notifications are sent giving feedback about the feedback.
Preferably, the test and optimization module performs sufficient test and optimization before application release, and tests different screening condition combinations and conditions of large data volume by using test modes including unit test, integration test, performance test, pressure test, boundary test, random data test and A/B test; unit test: the logic of the screening conditions is tested using a unit test framework. Test cases are written, including various screening conditions and expected results, to verify the correctness and accuracy of the screening conditions. The integration test integrates the screening conditions with other components or modules, and checks interaction and compatibility between the screening conditions and other components or modules, so that the screening conditions are ensured to normally perform in the whole system and coordinate with other functions; the performance test is used for carrying out the performance test on screening of large data volume, evaluating the response time and throughput of the system, simulating a large amount of data and concurrent users by using a performance test tool, and observing the performance of the system under different screening conditions; the pressure test determines the stability and reliability of the system when processing a large number of screening conditions and data, and whether the system can work normally or not and keeps good performance is checked by simulating a large-scale concurrent request and complex screening conditions; the random data test uses randomly generated data to test, simulates diversity and complexity in a real environment, and checks fault tolerance and stability of a system by randomly generating different types of data and screening conditions; the data visualization analysis is used for carrying out visualization analysis on screening results and large data volume, more intuitively observing and evaluating the effect and influence of screening conditions, and presenting data in a mode including charts, graphs and thermodynamic diagrams; the boundary test tests various boundary conditions including minimum value, maximum value and null value, and checks the processing and returning results of the screening conditions under the boundary conditions, so as to ensure that the system can correctly process the special conditions.
Compared with the prior art, the invention has the advantages that:
(1) According to the preference and the demand of the user, customized selection and screening results, custom screening condition options and custom screening management settings are provided through the intelligent field technology, so that the user is helped to better meet the personalized application demand, and the satisfaction degree of the user is improved.
(2) The application developer can classify and screen the application according to different attributes and labels, so that discoverability and exposure opportunity of the application are increased, and more user attention and downloading are attracted.
(3) Through the screening management system, the screening behaviors and results of the user are collected and analyzed, and the application developer can obtain data insights about user preferences, popular screening conditions and the like, so that application optimization and market adjustment are performed.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention.
Detailed Description
Example 1:
referring to fig. 1, a mobile phone application adding screening management system suitable for an APP interaction platform includes a screening requirement confirmation module, a screening interface design module, a screening function adding module, a screening result display module, a screening management module, a user feedback module, and a testing and optimizing module;
the screening requirement confirming module comprises a screening requirement information collecting module and an information sorting module;
the screening result display module displays a screening result display page through a list, a grid and a map view;
the information sorting module obtains screening categories and screening condition options by sorting and analyzing screening demand data characteristics of the users;
the user screening requirement information data is applied to the presentation of the content and the function in the screening interface design module;
the screening condition options presented by the interface in the screening interface design module are logically consistent with the function codes added in the screening function module, after a user confirms the screening requirement and selects the screening condition options, the interface transmits the screening conditions selected by the user to the screening function to perform data query and filtering operation, and the screening function filters the data according to the screening options selected by the user and returns a result set meeting the conditions;
the result set is displayed in a screening result display page, a screening management function is set in the screening result display page, and the screening management function is applied to a screening management module;
the user feedback module collects user feedback information data, and the user feedback information data is applied to and improved in the screening interface design module, the screening function adding module, the screening result display module and the screening management module.
In the invention, a screening requirement confirming module needs to confirm the content and the function including commodity type, geographic position and price range which need to be screened in the application according to the characteristics and the field of the application and the characteristics collected and obtained in the screening requirement information collecting module and the information sorting module in the clear application, determine the main screening category in the application, and define corresponding options for each screening category condition;
specifically, the screening information collecting module provides registration and login functions for each screening requirement information collecting module, a user setting page is provided in the application through logging in screening information and personal accounts of associated users, and the user defines and configures screening preferences including default screening conditions, preference settings and personalized options; the method comprises the steps that selection and configuration of a user in a setting page are used for collecting screening requirement information, screening conditions selected by the user are recorded in a screening interface of an application, each time the user performs screening operation, the selected screening conditions are stored in a back-end server and a local storage of the application, and screening preference and habit of the user are tracked; analyzing and obtaining screening behaviors and preferences of the user in an information arrangement module by using user feedback and behaviors;
specifically, the information arrangement module calculates and displays the collected use frequency of each screening condition, the preference degree of options and the user behavior mode, and understands the screening preference and behavior trend of the user through a visual chart, a graph and a dashboard; different user groups are identified through cluster analysis and user segmentation technology, and common characteristics and behavior patterns of the different user groups are obtained through judgment; searching the association relation between the screening conditions of the user by using an association rule mining technology, judging the relation between different screening conditions, and judging the application to be the application of the same type and the application of the same type if the screening conditions a and b are frequently combined; analyzing feedback, rating and comment data of the user through text mining and emotion analysis technologies to obtain satisfaction degree and improvement suggestion of the user on the screening function; a behavior analysis tool is used for tracking screening behaviors and flows of a user in an application, and bottlenecks and improvement points of the user in the screening process are judged through screening paths and conversion rates and funnel conversion of the user.
Specifically, the method for judging the bottleneck and improvement point of the user in the screening process through the screening path sum, the conversion rate and the funnel conversion of the user comprises the following steps:
funnel conversion was analyzed: by calculating the conversion rate of each screening stage, the conversion bottleneck of the user in the screening process is identified. A lower conversion may indicate that the user has encountered a problem or has encountered an obstacle at this stage. Note that particular attention is paid to the phases of lower conversion, which may be the main cause of user churn.
Comparing different user groups: users are grouped according to different characteristics or behaviors and their screening paths and conversions are compared. This can help you find differences and patterns between different user groups. For example, you can compare the conversion rates of new and old users, or compare the conversion of users in different geographic locations. This allows to find out bottlenecks and improvement points specific to the user population.
User behavior analysis: the behavior patterns and preferences of the user during the screening process are carefully analyzed. The behavior of the user at each screening stage is observed, such as dwell time, selection of screening conditions, and frequency of modification, etc. This can help you find confusion, doubt, or dissatisfaction that the user encounters at a particular stage.
User feedback analysis: feedback, ratings, and opinion feedback of the user are considered. The user's comments, feedback, and scores are analyzed to learn about their suggestions of questions and improvements in the screening process. User opinion and advice may reveal bottlenecks and improvement points that help you optimize screening procedures and functions.
a/B test: the effect of different screening pathways and functional changes on conversion was evaluated using the a/B test. By dividing the users into two groups, you can determine which changes are effective to increase conversion by comparing different screening flows or functional changes. The a/B test can help you verify guesses and decisions and optimize the screening process.
In the invention, the screening interface design uses screening UI elements including drop-down menus, check boxes and sliders; determining the screening condition presentation type including a drop-down list, a folding panel, a color selector and a slider,
specifically, if the condition c relates to a price range, selecting a slider to present a price section, and if the condition c also relates to color selection, using a color selector; if the condition d designs the number of screening conditions, a pull-down list is used when the screening conditions are fewer, and a folding panel is used when the screening conditions are more; if the condition e is limited and dependent by other conditions, reflecting the relevance among the screening conditions in a linkage or dynamic updating mode;
allowing a user to customize a display mode or a sequencing order of the screening conditions; displaying the distribution and importance of screening conditions in a mode including charts, heat maps and tag clouds; a user-friendly plate special for providing feedback is arranged, so that more convenient feedback operation is realized.
In the invention, a screening function adding module realizes a screening function by using programming language and database query according to an application architecture and a technology stack, when an application f is a front-end application, the technology stack is HTML, CSS, javaScript, the front-end framework, the used programming language is JavaScript, a request is sent to a rear-end API through the front end, and the rear end uses the database query language.
In the invention, the screening result display module is an interactive interface, and the range and the detail degree of the result are adjusted by using gesture operations comprising sliding bar, dragging, amplifying and shrinking;
the interface is realized by utilizing a machine learning and recommending algorithm according to the preference and the historical behavior of the user, and personalized screening result recommendation is provided; when the interface displays the screening result, the result is associated with other related data or information to provide a richer context;
specifically, if the user selects the screening condition a, displaying a screening condition b and a screening condition c related to the screening condition a;
the interface presents screening results in a narrative mode, converts the screening results into an interesting story and situation, presents the screening results as a storyboard, and guides a user to explore and understand according to the story development sequence; providing a mechanism for user feedback and evaluation in screening result display, so that users participate in the screening result display to share experience and views; multiple tags, tag clouds, or groupings are used to expose different attributes or features of the results.
In the invention, the screening management module comprises a self-defined screening condition module, an intelligent recommendation module, a classification management screening condition module, a condition collaboration sharing module, a condition version control module and a quick search filtering module;
specifically, the classification management module provides a function of saving screening conditions, creates different screening condition sets or folders, classifies the conditions, and realizes rapid switching of different screening combinations;
the self-defined screening condition module adds the functions of deleting, editing and sharing the screening conditions, allows a user to create the self-defined screening conditions, and defines new screening conditions including labels, keywords and attributes according to favorites and specific search requirements;
the condition collaboration sharing module allows users to share and collaborate with screening conditions in a team or community, and share the screening conditions of the users to others, so that collaborative creation and management of a condition set are realized;
the intelligent management module provides intelligent recommended screening conditions based on historical data and behavior analysis of the user. Through machine learning and data mining technology, the system can learn the preference and habit of the user, automatically recommend screening conditions suitable for the user, simplify the management process, provide intelligent recommended condition combination according to the selection and the target of the user, analyze the behavior and the preference of the user, automatically combine and adjust the screening conditions, and provide more accurate and efficient search results.
The conditional version control system adds a version control function for the screening conditions, allows a user to save and manage the condition settings of different versions, switches and compares the screening conditions of different versions, and backtracks the condition settings of different versions.
In the invention, a user feedback module provides a plurality of feedback forms including a text input box, single or multiple selection options, a scoring system and a sliding bar; according to the nature and the requirements of the application, selecting a real-time feedback mechanism and an asynchronous feedback mechanism, wherein the real-time feedback can immediately respond to the feedback of a user in a mode of real-time chat and online customer service, and the asynchronous feedback allows the user to submit the feedback through a form, a mail and a message board when the user is convenient; providing different types of feedback options including Bug reports, function requests, user experience questions, suggestions for the user; allowing the user to provide feedback in a particular context, providing a specialized feedback portal for which feedback is provided when the user is using a particular function and encountering a particular problem; and establishing a feedback processing and follow-up flow, and ensuring that the feedback of the user is timely and properly processed. Setting a feedback processing team or responsible person, tracking and replying to the feedback of the user, and providing reasonable explanation and solution; automated acknowledgement mail and notifications are sent giving feedback about the feedback.
In the invention, the test and optimization module performs full test and optimization before application release, and tests different screening condition combinations and conditions of large data volume by using test modes including unit test, integrated test, performance test, pressure test, boundary test, random data test and A/B test;
specifically, unit testing uses a unit test framework to test the logic of the screening conditions. Test cases are written, including various screening conditions and expected results, to verify the correctness and accuracy of the screening conditions.
The integration test integrates the screening conditions with other components or modules, and checks interaction and compatibility between the screening conditions and other components or modules, so that the screening conditions are ensured to normally perform in the whole system and coordinate with other functions;
performance test is carried out on screening of large data volume, response time and throughput of the system are evaluated, a performance test tool is used for simulating a large amount of data and concurrent users, and performance of the system under different screening conditions is observed;
the pressure test determines the stability and reliability of the system when processing a large number of screening conditions and data, and whether the system can work normally or not and keeps good performance is checked by simulating a large-scale concurrent request and complex screening conditions;
random data testing uses randomly generated data to test, simulates diversity and complexity in a real environment, and checks fault tolerance and stability of a system by randomly generating different types of data and screening conditions;
the data visualization analysis is used for carrying out the visualization analysis on the screening result and the large data volume, so that the effect and the influence of the screening condition are more intuitively observed and evaluated, and the data are presented in a mode including a chart, a graph and a thermodynamic diagram;
the boundary test tests various boundary conditions including minimum value, maximum value and null value, and checks the processing and returning results of the screening conditions under the boundary conditions, so as to ensure that the system can correctly process the special conditions.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (12)
1. The mobile phone application adding screening management system suitable for the APP interaction platform is characterized by comprising a screening requirement confirming module, a screening interface design module, a screening function adding module, a screening result display module, a screening management module, a user feedback module and a testing and optimizing module;
the screening requirement confirming module comprises a screening requirement information collecting module and an information sorting module;
the screening result display module displays a screening result display page through a list, a grid and a map view;
the information sorting module sorts and sorts the screening requirement information data of the users according to the screening requirement data characteristics of the users;
the user screening requirement information data is applied to the presentation of content and functions in the screening interface design module.
2. The mobile phone application adding screening management system suitable for the APP interaction platform according to claim 1, wherein screening condition options presented by an interface in the screening interface design module are logically consistent with function codes added in the screening function module, after a user confirms screening requirements and selects the screening condition options, the interface transmits the screening conditions selected by the user to the screening function to perform data query and filtering operation, and the screening function filters data according to the screening options selected by the user and returns a result set meeting the conditions.
3. The mobile phone application adding screening management system applicable to an APP interaction platform according to claim 2, wherein the result set is to be displayed in the screening result display page, and a screening management function is set in the screening result display page, and the screening management function is applied to the screening management module.
4. The mobile phone application adding screening management system applicable to the APP interaction platform according to claim 1, wherein the user feedback module collects user feedback information data, and the user feedback information data is applied and improved in the screening interface design module, the screening function adding module, the screening result display module and the screening management module.
5. The mobile phone application adding screening management system suitable for the APP interaction platform according to claim 1, wherein the screening requirement confirming module is used for determining content and functions including commodity types, geographic positions and price ranges which need to be screened in the application according to characteristics and fields of the application and characteristics obtained by collecting and sorting in the screening requirement information collecting module and the information sorting module in clear application, determining main screening categories in the application, and defining corresponding options for each screening category condition.
6. The mobile phone application adding screening management system applicable to the APP interaction platform according to claim 1, wherein the screening interface module designs and uses screening UI elements including drop-down menus, check boxes and sliders;
the screening interface module determines screening condition presentation types including a drop-down list, a folding panel, a color selector and a sliding block;
the screening interface module allows a user to define a display mode or a sorting order of the screening conditions;
the screening interface module displays the distribution and importance of screening conditions in a mode including charts, heat maps and tag clouds;
the screening interface module is provided with a user-friendly plate which is specially used for providing feedback, so that more convenient feedback operation is realized.
7. The mobile phone application adding screen management system suitable for the APP interaction platform according to claim 1, wherein the screening function adding module uses programming language and database query to realize the screening function according to an application architecture and a technology stack.
8. The mobile phone application adding screening management system applicable to the APP interaction platform according to claim 1, wherein the screening result display module is an interactive interface, and uses gesture operations including sliding bar, dragging, zooming in and out to adjust the range and the detail degree of results;
the interface is realized by utilizing machine learning and recommendation algorithms according to the preference and the historical behavior of the user, and personalized screening result recommendation is provided.
9. The mobile phone application adding screening management system suitable for the APP interaction platform according to claim 1, wherein the screening management module comprises a custom screening condition module, an intelligent recommendation module, a classification management screening condition module, a condition collaboration sharing module, a condition version control module and a quick search filtering module.
10. The mobile phone application adding screening management system applicable to the APP interaction platform according to claim 1, wherein the user feedback module provides a plurality of feedback forms including a text input box, single or multiple selection options, a scoring system and a sliding bar;
the user feedback module selects a real-time feedback mechanism and an asynchronous feedback mechanism according to the nature and the requirement of the application, wherein the real-time feedback can immediately respond to the feedback of the user in a mode of real-time chat and online customer service, and the asynchronous feedback allows the user to submit the feedback through a form, a mail and a message board when the user is convenient.
11. The mobile phone application adding screening management system applicable to the APP interaction platform according to claim 6, wherein the user feedback module provides different types of feedback options including Bug reports, function requests, user experience problems and suggestions for a user;
the user feedback module allows a user to provide feedback in a specific situation, and provides a special feedback entrance when the user is using a specific function and encountering a specific problem, and provides feedback for the situation;
the user feedback module establishes a feedback processing and follow-up flow to ensure that the feedback of the user is timely and properly processed;
the user feedback module sets a feedback processing team or responsible person, tracks and replies the feedback of the user, and provides reasonable explanation and solution;
the user feedback module sends automated acknowledgement mail and notifications giving feedback about the user feedback.
12. The mobile phone application adding screening management system suitable for the APP interaction platform according to claim 1, wherein the testing and optimizing module is used for fully testing and optimizing the application before release of the application, and testing different screening condition combinations and situations of a large amount of data by using a testing mode including a unit testing mode, an integration testing mode, a performance testing mode, a pressure testing mode, a boundary testing mode, a random data testing mode and an A/B testing mode.
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