Product usage problem collection method, device, equipment, medium and program product

Abstract

The present application provides a method, device, equipment, medium and program product for collecting product usage problems, by obtaining the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user; using the preset mapping relationship, according to the usage scenarios, usage frequency, problem impact degree and recurrence classification, determine the comprehensive rating of the usage problems found by the user when evaluating the target evaluation component; output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on the usage problems and the comprehensive rating. It solves the technical problem of how to efficiently collect product usage problems raised by reviewers. It achieves the technical effect of efficiently collecting product usage problems in a unified and structured manner.

Description

Technical Field

[0001] The present application relates to the automotive field, and in particular to a method, device, equipment, medium and program product for collecting product usage problems. Background Art

[0002] With the continuous popularization and evolution of vehicle intelligence, the era of "factory-prepared" in-vehicle electronic products has gradually become history. Today's in-vehicle electronic products need to improve the functions and user experience of intelligent connected car machine products through software iteration. This has led to the review process of car machine experience issues in vehicle development changing from "final decision" to "step-by-step iteration".

[0003] At present, during the vehicle computer review process, the user experience issues raised by the reviewers are expressed in different ways, and R&D personnel need to read them, communicate with the reviewers for confirmation, and manually screen them before collecting effective product usage issues. This leads to low efficiency in vehicle computer development and improvement.

[0004] Therefore, how to efficiently collect product usage issues raised by reviewers has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present application provides a method, device, equipment, medium and program product for collecting product usage issues to solve the technical problem of how to efficiently collect product usage issues raised by reviewers.

[0006] In a first aspect, the present application provides a method for collecting product usage problems, comprising:

[0007] Obtain the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree, and recurrence classification of the target evaluation component input or selected by the user;

[0008] Using the preset mapping relationship, the comprehensive rating of the usage problems found by users when evaluating the target evaluation component is determined according to the usage scenario, usage frequency, problem impact and recurrence classification;

[0009] Output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on usage problems and the comprehensive rating.

[0010] In a possible design, the preset mapping relationship is used to determine the comprehensive rating of the usage problems found by the target evaluation component during the user evaluation according to the usage scenario, usage frequency, problem impact and recurrence classification, including:

[0011] Determine a first combined rating of the target evaluation component in the frequency of use dimension according to the scenario classification and the frequency of use corresponding to the usage scenario by using the preset first mapping relationship;

[0012] Using the preset second mapping relationship, according to the problem impact degree and the classification of the recurrence situation, determine the second combined rating of the target evaluation component in the use impact dimension;

[0013] The preset third mapping relationship is used to determine the comprehensive rating according to the first combined rating and the second combined rating.

[0014] In a possible design, the first mapping relationship includes: the first combined rating corresponds to the first key-value pair, and the first key-value pair includes: scene classification and usage frequency;

[0015] Correspondingly, the first combination rating of the target evaluation component in the frequency of use dimension is determined by using the preset first mapping relationship according to the scenario classification corresponding to the usage scenario and the usage frequency, including:

[0016] Determine the first key-value pair according to the scenario classification and usage frequency;

[0017] A first combined rating is determined based on the first key-value pair.

[0018] In a possible design, the second mapping relationship includes: the second combined rating corresponds to the second key-value pair, and the second key-value pair includes: the problem impact degree and the recurrence situation classification;

[0019] Correspondingly, the preset second mapping relationship is used to classify the problem according to its impact and recurrence to determine the second combined rating of the target evaluation component in the use impact dimension, including:

[0020] Determine the second key-value pair based on the impact of the problem and the recurrence situation;

[0021] A second combined rating is determined based on the second key-value pair.

[0022] In a possible design, the third mapping relationship includes: the comprehensive rating corresponds to the third key-value pair, and the third key-value pair includes: the first combined rating and the second combined rating;

[0023] Correspondingly, the preset third mapping relationship is used to determine the comprehensive rating according to the first combined rating and the second combined rating, including:

[0024] Determine a third key-value pair according to the first combined rating and the second combined rating;

[0025] A comprehensive rating is determined based on the third key-value pair.

[0026] In one possible design, the scenario classification includes: a first usage frequency scenario, a second usage frequency scenario, and a special scenario. The first trigger frequency of the first usage frequency scenario is greater than the second trigger frequency of the second usage frequency scenario. The special scenario includes a scenario where the wireless communication signal is affected by the geographical location or surrounding buildings, resulting in a poor signal.

[0027] In a possible design, the impact levels of the problem include: a first impact level, a second impact level, and a third impact level, and the values ​​of the first impact level, the second impact level, and the third impact level decrease in sequence.

[0028] Optional, classification of recurrence situations, including: no recurrence, occasional recurrence, and inevitable recurrence.

[0029] In a possible design, the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree, and recurrence classification of the target evaluation component input or selected by the user are obtained, including:

[0030] Acquire multiple operation instructions of the user by clicking controls or operating various selection controls on a preset interface of the mobile terminal;

[0031] Based on multiple operation instructions, target evaluation components, usage issues, usage scenarios, usage frequency, problem impact, and recurrence classification are determined respectively.

[0032] In a second aspect, the present application provides a device for collecting product usage problems, comprising:

[0033] An acquisition module is used to acquire the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user;

[0034] Processing modules for:

[0035] Using the preset mapping relationship, the comprehensive rating of the usage problems found by users when evaluating the target evaluation component is determined according to the usage scenario, usage frequency, problem impact and recurrence classification;

[0036] Output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on usage problems and the comprehensive rating.

[0037] In one possible design, the processing module is used to:

[0038] Determine a first combined rating of the target evaluation component in the frequency of use dimension according to the scenario classification and the frequency of use corresponding to the usage scenario by using the preset first mapping relationship;

[0039] Using the preset second mapping relationship, according to the problem impact degree and the classification of the recurrence situation, determine the second combined rating of the target evaluation component in the use impact dimension;

[0040] The preset third mapping relationship is used to determine the comprehensive rating according to the first combined rating and the second combined rating.

[0041] In a possible design, the first mapping relationship includes: the first combined rating corresponds to the first key-value pair, and the first key-value pair includes: scene classification and usage frequency;

[0042] Correspondingly, the processing module is used to:

[0043] Determine the first key-value pair according to the scenario classification and usage frequency;

[0044] A first combined rating is determined based on the first key-value pair.

[0045] In a possible design, the second mapping relationship includes: the second combined rating corresponds to the second key-value pair, and the second key-value pair includes: the problem impact degree and the recurrence situation classification;

[0046] Correspondingly, the processing module is used to:

[0047] Determine the second key-value pair based on the impact of the problem and the recurrence situation;

[0048] A second combined rating is determined based on the second key-value pair.

[0049] In a possible design, the third mapping relationship includes: the comprehensive rating corresponds to the third key-value pair, and the third key-value pair includes: the first combined rating and the second combined rating;

[0050] Correspondingly, the processing module is used to:

[0051] Determine a third key-value pair according to the first combined rating and the second combined rating;

[0052] A comprehensive rating is determined based on the third key-value pair.

[0053] In one possible design, the scenario classification includes: a first usage frequency scenario, a second usage frequency scenario, and a special scenario. The first trigger frequency of the first usage frequency scenario is greater than the second trigger frequency of the second usage frequency scenario. The special scenario includes a scenario where the wireless communication signal is affected by the geographical location or surrounding buildings, resulting in a poor signal.

[0054] In a possible design, the impact levels of the problem include: a first impact level, a second impact level, and a third impact level, and the values ​​of the first impact level, the second impact level, and the third impact level decrease in sequence.

[0055] Optional, classification of recurrence situations, including: no recurrence, occasional recurrence, and inevitable recurrence.

[0056] In a possible design, the acquisition module is used to acquire multiple operation instructions of the user by clicking controls or operating various selection controls on a preset interface of the mobile terminal;

[0057] The processing module is also used to determine the target evaluation components, usage problems, usage scenarios, usage frequencies, problem impact levels, and recurrence classifications according to multiple operation instructions.

[0058] In a third aspect, the present application provides an electronic device, including:

[0059] A memory for storing program instructions;

[0060] The processor is used to call and execute the program instructions in the memory to execute any possible product usage problem collection method provided by the first aspect.

[0061] In a fourth aspect, the present application provides a storage medium, wherein the readable storage medium stores a computer program, and the computer program is used to execute any possible product usage problem collection method provided in the first aspect.

[0062] In a fifth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements any possible product usage problem collection system method provided in the first aspect.

[0063] The present application provides a method, device, equipment, medium and program product for collecting product usage problems, by obtaining the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user; using the preset mapping relationship, according to the usage scenarios, usage frequency, problem impact degree and recurrence classification, determine the comprehensive rating of the usage problems found by the user when evaluating the target evaluation component; output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on the usage problems and the comprehensive rating. It solves the technical problem of how to efficiently collect product usage problems raised by reviewers. It achieves the technical effect of efficiently collecting product usage problems in a unified and structured manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0065] Figure 1A schematic diagram of an application scenario of a method for collecting product usage problems provided in this application;

[0066] Figure 2 A flowchart of a method for collecting product usage problems provided in an embodiment of the present application;

[0067] Figure 3 A flowchart of another method for collecting product usage problems provided in an embodiment of the present application;

[0068] Figure 4 A schematic diagram of a first mapping relationship between a first combination rating and a first key-value pair provided in an embodiment of the present application;

[0069] Figure 5 A schematic diagram of a second mapping relationship between a second combination rating and a second key-value pair provided in an embodiment of the present application;

[0070] Figure 6 A schematic diagram of a third mapping relationship between a comprehensive rating and a third key-value pair provided in an embodiment of the present application;

[0071] Figure 7 A schematic diagram of the structure of a device for collecting product usage problems provided in an embodiment of the present application;

[0072] Figure 8 A schematic diagram of the structure of an electronic device provided in this application.

[0073] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work, including but not limited to the combination of multiple embodiments, belong to the scope of protection of this application.

[0075] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0076] With the continuous popularization and evolution of vehicle intelligence, the era of "factory-prepared" in-vehicle electronic products has gradually become history. Today's in-vehicle electronic products need to improve the functions and user experience of intelligent connected car machine products through software iteration. This has led to the review process of car machine experience issues in vehicle development changing from "final decision" to "step-by-step iteration".

[0077] At present, during the vehicle computer review process, the user experience issues raised by the reviewers are expressed in different ways, and R&D personnel need to read them, communicate with the reviewers for confirmation, and manually screen them before collecting effective product usage issues. This leads to low efficiency in vehicle computer development and improvement.

[0078] In order to solve the above technical problems, the invention concept of this application is:

[0079] Develop special review tool software to unify, standardize and regularize the way of collecting product usage issues. After the review test, each reviewer only needs to perform simple input or selection operations through the connected mobile terminal to complete the submission of product usage issues, and can see the comprehensive rating or score of the usage issues they input on the mobile terminal. R&D personnel can know the severity of the usage problem and the priority of solving the problem through the comprehensive rating, which improves the efficiency of product development and improvement.

[0080] Figure 1 This is a schematic diagram of an application scenario of a product usage problem collection method provided in this application. Figure 1As shown, multiple testers or reviewers (hereinafter referred to as users 100) conduct various usage tests and review experiences on the on-board equipment, i.e., the vehicle computer, on the review vehicle 200. Then, the user 100 uses the usage problems found in the test and review process through the problem collection application pre-installed in the mobile terminal 300, selects or inputs the usage problems by clicking a button, and inputs the components corresponding to the usage problems, usage scenarios, degree of impact of the problems, and classification of the recurrence of the problems, etc. After the user 100 clicks OK to submit, the problem collection application can automatically calculate the comprehensive rating of the usage problem, i.e., the priority, and display it on the screen of the mobile terminal 300, and send it to the R&D personnel or the problem collection server for storage, so that the R&D personnel can make improvements or upgrades.

[0081] Figure 2 The following is a flow chart of a method for collecting product usage problems provided in an embodiment of the present application. Figure 2 As shown in the figure, the specific steps of the problem collection method used by the product include:

[0082] S201, obtaining the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequencies, problem impact levels, and recurrence classifications of the target evaluation component input or selected by the user.

[0083] In this step, usage issues include: product demand issues, product logic issues, and user experience issues. Product demand issues refer to the fact that the functions that users want are not configured in the target product of the review test. Product logic issues refer to the fact that the usage logic design of one or some components in the target product does not conform to the user's operating habits. User experience issues refer to the discomfort that the interface interaction experience and visual perception of the target product make the user feel when using it.

[0084] When the target product for review is an in-vehicle electronic device, i.e., a car computer, the usage scenarios include: commuting scenarios, highway scenarios, rural outdoor scenarios, tunnels, basements, toll booths, elevated roads and other scenarios with weak signals, etc. Optionally, due to the positioning of vehicle usage, the above usage scenarios can be divided into three types: high-frequency scenarios, low-frequency scenarios, and special scenarios. For example, commuting scenarios are high-frequency scenarios, highway scenarios and rural outdoor scenarios are low-frequency scenarios, and tunnels, basements, toll booths, elevated roads and other scenarios with weak signals are special scenarios.

[0085] The impact level of the problem includes: the first impact level, the second impact level, and the third impact level, and the values ​​of the three levels are decreasing in sequence. For example, the first impact level means that the normal use is seriously affected, the second impact level means that there is an adverse effect during use, but it will not cause the normal use to be unable to be used, and the third impact level means that there is almost no impact on normal use, which may just be a difference in individual subjective preferences.

[0086] Classification of recurrence situations, including: no recurrence, occasional recurrence, and inevitable recurrence.

[0087] Specifically, after testing and using the target product, the user, such as the reviewer, opens the application installed in the mobile terminal, selects the target evaluation component of the target product in the usage problem collection interface of the application, such as by clicking the button listed on the collection interface, or selecting through the drop-down menu, and then clicks to select the corresponding usage problem, such as selecting "product logic problems", and then selects the four major categories of information parameters, namely, usage scenarios, usage frequency, problem impact, and recurrence classification, that is, by operating the corresponding controls, the application can obtain standardized, unified and normalized information on usage scenarios, usage frequency, problem impact, and recurrence classification.

[0088] It should be noted that the above-mentioned information can be collected simultaneously in the same display interface, or a separate collection interface can be set for each parameter information, which is not limited in the embodiment of the present application.

[0089] S202. Determine the comprehensive rating of the usage problems found by users when evaluating the target evaluation component by using the preset mapping relationship and classifying them according to the usage scenario, usage frequency, problem impact degree and recurrence situation.

[0090] In this step, the comprehensive rating includes two dimensions, or two aspects of consideration. One dimension is the frequency of use of the target evaluation component, or the possibility of being used; the other dimension is the degree of impact of the target evaluation component on its function when there are usage problems issued by the reviewers. The preset mapping relationship is a mapping table or mapping curve, or mapping diagram obtained by R&D personnel after summarizing and counting big data. Described in mathematical terms, the comprehensive rating is a function of usage scenarios, usage frequency, problem impact, and classification of recurrence situations.

[0091] In a possible design, a first combined rating of the target evaluation component in the frequency of use dimension is determined by using a preset first mapping relationship according to the scenario classification corresponding to the usage scenario and the usage frequency;

[0092] Using the preset second mapping relationship, according to the problem impact degree and the classification of the recurrence situation, determine the second combined rating of the target evaluation component in the use impact dimension;

[0093] The preset third mapping relationship is used to determine the comprehensive rating according to the first combined rating and the second combined rating.

[0094] Specifically, the first mapping relationship can be expressed by formula (1):

[0095] G1 =f 1 (F 1 , F 2 ) (1)

[0096] Among them, G 1 Indicates the first combination rating, F 1 represents scene classification, F 2 Indicates frequency of use.

[0097] For example, the scene classification includes: high-frequency scenes, low-frequency scenes and special scenes. 1 =3 represents a high frequency scenario. 1 =2 represents a low-frequency scenario, F 1 =1 indicates a special scenario.

[0098] The second mapping relationship can be expressed by formula (2):

[0099] G 2 =f 2 (D 1 , D 2 ) (2)

[0100] Among them, G 2 Indicates the second combined rating, D 1 Indicates the impact of the problem, D 2 Indicates the classification of recurrence. It should be noted that D 1 , D 2 Different values ​​can be set to represent different degrees or categories.

[0101] The third mapping relationship can be expressed by formula (3):

[0102] G=f 3 (G 1 , G 2 ) (3)

[0103] Among them, G represents the comprehensive rating.

[0104] S203. Output a comprehensive rating.

[0105] In this step, the comprehensive rating is output and displayed to the application on the mobile terminal used for review, and the usage problems and the corresponding comprehensive rating are submitted to the server or cloud server, so that R&D personnel can improve the target product to which the target evaluation component belongs based on the usage problems and the comprehensive rating.

[0106] Specifically, after the reviewer enters the usage problem, usage scenario, usage frequency, problem impact, and recurrence classification, and clicks Submit, the comprehensive rating or comprehensive score corresponding to the usage problem can be seen on the display screen of the mobile terminal to help the reviewer understand the severity of the problem he or she has found.

[0107] This embodiment provides a product usage problem collection system method, which obtains the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user; uses the preset mapping relationship to determine the comprehensive rating of the usage problems found by the user when evaluating the target evaluation component according to the usage scenarios, usage frequency, problem impact degree and recurrence classification; outputs the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on the usage problems and the comprehensive rating. It solves the technical problem of how to efficiently collect product usage problems raised by reviewers. It achieves the technical effect of efficiently collecting product usage problems in a unified and structured manner.

[0108] Figure 3 A flowchart of another method for collecting product usage problems provided in an embodiment of the present application. Figure 3 As shown, the specific steps of the product usage problem collection method include:

[0109] S301: Acquire multiple operation instructions of a user on a preset interface of a mobile terminal by clicking on controls or operating various selection controls.

[0110] S302: Determine target evaluation components, usage problems, usage scenarios, usage frequencies, problem impact levels, and recurrence classifications according to multiple operation instructions.

[0111] In this step, the usage frequency includes: the background usage record of the target evaluation component. After the user selects the target evaluation component, the system can automatically obtain the corresponding usage frequency and the recurrence classification, including: no recurrence, occasional recurrence and inevitable recurrence.

[0112] For steps S301 to S302, an example is given as follows:

[0113] The reviewer, i.e. the user, gets in the car and starts to experience the car computer. He or she will find the experience problem, i.e. the usage problem of the target product. The reviewer will find the product module corresponding to the usage problem, i.e. the target evaluation component, such as Bluetooth module, multimedia module, voice module, navigation module, etc. The reviewer will click and select the corresponding control on the preset interface of the mobile terminal. The product usage problem collection system, i.e. the application installed on the mobile terminal, will automatically match the priority frequency of the target evaluation component, i.e. the usage frequency, according to the user usage frequency data of the car computer background. For example, multimedia, voice, and navigation can be identified as high-frequency function modules based on the background data; the car computer butler and scene engine are medium-frequency function modules; the negative one screen, notification center, user manual, etc. are low-frequency function modules.

[0114] Next, the reviewer selects the usage scenario where the usage problem occurs in the scenario selection control on the same display interface, including: high-frequency scenarios, low-frequency scenarios, and special scenarios. High-frequency scenarios are daily usage scenarios, such as commuting to and from work, low-frequency scenarios are non-daily usage scenarios, such as highways, rural outdoor, etc. Special scenarios are tunnels, basements, toll booths, elevated roads and other scenes with weak signals. It should be noted that the reviewer needs to select the corresponding usage scenario based on the current problem environment, so the corresponding prompt information can also be output on the display interface of the mobile terminal. For example: when the user clicks on the Bluetooth module, the corresponding message prompt box will pop up: "If you are stuck in an underground parking lot with poor signal, please select the usage scenario as a special scenario."

[0115] Next, the reviewer selects the degree of impact of the usage scenario of the usage problem on the driver on the display interface of the mobile terminal, including: severe impact, a little troublesome, and almost no impact. It should be noted that at this time, the reviewer can make a selection based on his subjective perception of the usage problem.

[0116] Then, when it is detected that the user has clicked on any recurrence classification control, a prompt box may pop up on the display interface, prompting the reviewer to repeat the operation on the current usage problem to determine the recurrence of the usage problem and further clarify whether the usage problem is an occasional problem or a necessary problem.

[0117] After completing the input of the above information, the reviewer clicks "Confirm" to enter the next step of the comprehensive rating calculation process:

[0118] S303: Determine a first key-value pair according to the scene classification and the usage frequency.

[0119] In this step, the first key-value pair = (scene classification, usage frequency).

[0120] S304: Determine a first combined rating according to the first key-value pair.

[0121] In this step, for ease of understanding, Figure 4 A schematic diagram of a first mapping relationship between a first combination rating and a first key-value pair provided in an embodiment of the present application. Figure 4 As shown, in order to simplify the corresponding relationship, the scene classification of this embodiment includes three types, namely: special scenes, low-frequency scenes and high-frequency scenes, and the frequency of use is also divided into three types, namely: high frequency of use, medium frequency of use and low frequency of use. According to the corresponding combination of horizontal and vertical coordinates, 9 combinations can be obtained. In this embodiment, these 9 combinations are divided into four first combination ratings, namely M1, M2, M3 and M4, among which the target evaluation component represented by M1 has the highest level in the frequency of use dimension, and the other ratings decrease in turn.

[0122] S305: Determine a second key-value pair based on the impact degree of the problem and the recurrence situation.

[0123] In this step, the second key-value pair = (problem impact level, recurrence classification).

[0124] S306: Determine a second combined rating according to the second key-value pair.

[0125] In this step, for ease of understanding, Figure 5 A schematic diagram of a second mapping relationship between a second combination rating and a second key-value pair provided in an embodiment of the present application. Figure 5 As shown, in order to simplify the corresponding relationship, the impact degree of the problem in this embodiment includes three types, namely: serious impact, some trouble, and almost no impact, and the three impact degrees decrease in sequence. The recurrence classification includes three types, namely: no recurrence, occasional occurrence, and inevitable occurrence. According to the corresponding combination of the horizontal and vertical coordinates, 9 combinations can be obtained. In this embodiment, these 9 combinations are divided into four second combination ratings, namely S1, S2, S3 and S4, among which the target evaluation component represented by S1 has the highest level in the use impact dimension, and the other ratings decrease in sequence.

[0126] S307: Determine a third key-value pair according to the first combined rating and the second combined rating.

[0127] In this step, the third key-value pair = (first combined rating, second combined rating).

[0128] S308. Determine a comprehensive rating according to the third key-value pair.

[0129] In this step, for ease of understanding, Figure 6 A schematic diagram of a third mapping relationship between a comprehensive rating and a third key-value pair provided in an embodiment of the present application. Figure 6As shown, the first combination rating and the second combination rating each have 4 levels, so according to the corresponding combinations of the horizontal and vertical coordinates, 16 combinations can be obtained. In this embodiment, these 16 combinations are divided into four comprehensive ratings, namely A100, B50, B30 and C10, among which A100 represents the highest priority, and the other ratings decrease in sequence.

[0130] S309. Output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on usage problems and the comprehensive rating.

[0131] This embodiment provides a product usage problem collection system method, which obtains the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user; uses the preset mapping relationship to determine the comprehensive rating of the usage problems found by the user when evaluating the target evaluation component according to the usage scenarios, usage frequency, problem impact degree and recurrence classification; outputs the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on the usage problems and the comprehensive rating. It solves the technical problem of how to efficiently collect product usage problems raised by reviewers. It achieves the technical effect of efficiently collecting product usage problems in a unified and structured manner.

[0132] Figure 7 This is a schematic diagram of the structure of a device for collecting product usage problems provided in an embodiment of the present application. The device for collecting product usage problems 700 can be implemented by software, hardware, or a combination of both.

[0133] like Figure 7 As shown, the product usage problem collection device 700 includes:

[0134] An acquisition module 701 is used to acquire the target evaluation component selected by the user and the usage problem, usage scenario, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user;

[0135] The processing module 702 is used to:

[0136] Using the preset mapping relationship, the comprehensive rating of the usage problems found by users when evaluating the target evaluation component is determined according to the usage scenario, usage frequency, problem impact and recurrence classification;

[0137] Output the comprehensive rating so that R&D personnel can improve the target product to which the target evaluation component belongs based on usage problems and the comprehensive rating.

[0138] In one possible design, the processing module 702 is configured to:

[0139] Determine a first combined rating of the target evaluation component in the frequency of use dimension according to the scenario classification and the frequency of use corresponding to the usage scenario by using the preset first mapping relationship;

[0140] Using the preset second mapping relationship, according to the problem impact degree and the classification of the recurrence situation, determine the second combined rating of the target evaluation component in the use impact dimension;

[0141] The preset third mapping relationship is used to determine the comprehensive rating according to the first combined rating and the second combined rating.

[0142] In a possible design, the first mapping relationship includes: the first combined rating corresponds to the first key-value pair, and the first key-value pair includes: scene classification and usage frequency;

[0143] Correspondingly, the processing module 702 is used to:

[0144] Determine the first key-value pair according to the scenario classification and usage frequency;

[0145] A first combined rating is determined based on the first key-value pair.

[0146] In a possible design, the second mapping relationship includes: the second combined rating corresponds to the second key-value pair, and the second key-value pair includes: the problem impact degree and the recurrence situation classification;

[0147] Correspondingly, the processing module 702 is used to:

[0148] Determine the second key-value pair based on the impact of the problem and the recurrence situation;

[0149] A second combined rating is determined based on the second key-value pair.

[0150] In a possible design, the third mapping relationship includes: the comprehensive rating corresponds to the third key-value pair, and the third key-value pair includes: the first combined rating and the second combined rating;

[0151] Correspondingly, the processing module 702 is used to:

[0152] Determine a third key-value pair according to the first combined rating and the second combined rating;

[0153] A comprehensive rating is determined based on the third key-value pair.

[0154] In one possible design, the scenario classification includes: a first usage frequency scenario, a second usage frequency scenario, and a special scenario. The first trigger frequency of the first usage frequency scenario is greater than the second trigger frequency of the second usage frequency scenario. The special scenario includes a scenario where the wireless communication signal is affected by the geographical location or surrounding buildings, resulting in a poor signal.

[0155] In a possible design, the impact levels of the problem include: a first impact level, a second impact level, and a third impact level, and the values ​​of the first impact level, the second impact level, and the third impact level decrease in sequence.

[0156] Optional, classification of recurrence situations, including: no recurrence, occasional recurrence, and inevitable recurrence.

[0157] In a possible design, the acquisition module 701 is used to acquire multiple operation instructions of the user by clicking controls or operating various selection controls on a preset interface of the mobile terminal;

[0158] The processing module 702 is further used to determine the target evaluation component, usage problem, usage scenario, usage frequency, problem impact degree and recurrence classification according to multiple operation instructions.

[0159] It is worth mentioning that Figure 7 The device provided in the illustrated embodiment can execute the method provided in any of the above method embodiments. Its specific implementation principles, technical features, professional terminology explanations and technical effects are similar and will not be repeated here.

[0160] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 800 may include: at least one processor 801 and a memory 802 . Figure 8 An electronic device is shown using a processor as an example.

[0161] The memory 802 is used to store programs. Specifically, the programs may include program codes, and the program codes include computer operation instructions.

[0162] The memory 802 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0163] The processor 801 is used to execute the computer-executable instructions stored in the memory 802 to implement the methods described in the above method embodiments.

[0164] The processor 801 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0165] Optionally, the memory 802 may be independent or integrated with the processor 801. When the memory 802 is a device independent of the processor 801, the electronic device 800 may further include:

[0166] The bus 803 is used to connect the processor 801 and the memory 802. The bus may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0167] Optionally, in a specific implementation, if the memory 802 and the processor 801 are integrated on a chip, the memory 802 and the processor 801 can communicate through an internal interface.

[0168] An embodiment of the present application also provides a computer-readable storage medium, which may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes. Specifically, the computer-readable storage medium stores program instructions, and the program instructions are used for the methods in the above-mentioned method embodiments.

[0169] An embodiment of the present application further provides a computer program product, including a computer program, which implements the methods in the above-mentioned method embodiments when executed by a processor.

[0170] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

[0171] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for collecting product usage problems. It is characterized in that include: Obtaining the target evaluation component selected by the user and the usage problem, usage scenario, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user; Determine, by using a preset first mapping relationship, a first combined rating of the target evaluation component in a frequency of use dimension according to the scenario classification corresponding to the usage scenario and the usage frequency; Determine a second combined rating of the target evaluation component in the usage impact dimension according to the problem impact degree and the recurrence classification by using a preset second mapping relationship; Determine the comprehensive rating according to the first combined rating and the second combined rating by using a preset third mapping relationship; The comprehensive rating is outputted so that R&D personnel can improve the target product to which the target evaluation component belongs according to the usage problem and the comprehensive rating.

2. The method for collecting product usage problems according to claim 1, It is characterized in that The first mapping relationship includes: the first combined rating corresponds to a first key-value pair, and the first key-value pair includes: the scene classification and the usage frequency; Correspondingly, the using of the preset first mapping relationship to determine the first combined rating of the target evaluation component in the frequency of use dimension according to the scenario classification corresponding to the usage scenario and the usage frequency includes: Determine the first key-value pair according to the scenario classification and the usage frequency; The first combined rating is determined according to the first key-value pair.

3. The method for collecting product usage problems according to claim 1, It is characterized in that The second mapping relationship includes: the second combined rating corresponds to a second key-value pair, and the second key-value pair includes: the problem impact degree and the recurrence classification; Correspondingly, the use of the preset second mapping relationship to determine the second combined rating of the target evaluation component in the use impact dimension according to the problem impact degree and the recurrence classification includes: Determine the second key-value pair according to the impact degree of the problem and the recurrence situation classification; The second combined rating is determined according to the second key-value pair.

4. The method for collecting product usage problems according to claim 1, It is characterized in that The third mapping relationship includes: the comprehensive rating corresponds to a third key-value pair, and the third key-value pair includes: the first combined rating and the second combined rating; Correspondingly, the using the preset third mapping relationship to determine the comprehensive rating according to the first combined rating and the second combined rating includes: Determine the third key-value pair according to the first combined rating and the second combined rating; The comprehensive rating is determined according to the third key-value pair.

5. The method for collecting product usage problems according to any one of claims 1 to 4, It is characterized in that The scenario classification includes: a first usage frequency scenario, a second usage frequency scenario and a special scenario. The first trigger frequency of the first usage frequency scenario is greater than the second trigger frequency of the second usage frequency scenario. The special scenario includes a scenario where the wireless communication signal is affected by the geographical location or surrounding buildings, resulting in a poor signal.

6. The method for collecting product usage problems according to any one of claims 1 to 4, It is characterized in that The problem impact degree includes: a first impact degree, a second impact degree and a third impact degree, and the values ​​of the first impact degree, the second impact degree and the third impact degree decrease in sequence.

7. The method for collecting product usage problems according to any one of claims 1 to 4, It is characterized in that The classification of the recurrence situations includes: no recurrence, occasional recurrence and inevitable recurrence.

8. The method for collecting product usage problems according to claim 1, It is characterized in that The obtaining of the target evaluation component selected by the user and the usage problems, usage scenarios, usage frequency, problem impact degree and recurrence classification of the target evaluation component input or selected by the user include: Acquire multiple operation instructions of the user by clicking controls or operating various selection controls on a preset interface of the mobile terminal; The target evaluation component, the usage problem, the usage scenario, the usage frequency, the problem impact degree and the recurrence classification are determined respectively according to the multiple operation instructions.

9. A device for collecting product usage problems, It is characterized in that include: An acquisition module, used to acquire a target evaluation component selected by a user and usage problems, usage scenarios, usage frequency, problem impact degree, and recurrence classification of the target evaluation component input or selected by the user; The processing module is used to: determine the first combined rating of the target evaluation component in the frequency of use dimension according to the scenario classification corresponding to the usage scenario and the usage frequency by using a preset first mapping relationship; determine the second combined rating of the target evaluation component in the impact dimension according to the problem impact degree and the recurrence classification by using a preset second mapping relationship; determine the comprehensive rating according to the first combined rating and the second combined rating by using a preset third mapping relationship; The comprehensive rating is outputted so that R&D personnel can improve the target product to which the target evaluation component belongs according to the usage problem and the comprehensive rating.

10. An electronic device, It is characterized in that include: processor; as well as, a memory for storing a computer program for the processor; Wherein, the processor is configured to execute the product usage problem collection method according to any one of claims 1 to 8 by executing the computer program.

11. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the method for collecting product usage problems described in any one of claims 1 to 8 is implemented.

12. A computer program product comprising a computer program, It is characterized in that When the computer program is executed by a processor, the method for collecting product usage problems described in any one of claims 1 to 8 is implemented.

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