CN111191364A

CN111191364A - Experience optimization method and device and electronic equipment

Info

Publication number: CN111191364A
Application number: CN201911390081.XA
Authority: CN
Inventors: 覃晓锋; 谈青青; 王安安; 梁嘉敏; 刘菲
Original assignee: Guangdong 3vjia Information Technology Co Ltd
Current assignee: Guangdong 3vjia Information Technology Co Ltd
Priority date: 2019-12-27
Filing date: 2019-12-27
Publication date: 2020-05-22

Abstract

The invention provides an experience optimization method, an experience optimization device and electronic equipment, which relate to the technical field of software optimization and comprise the following steps: dividing user experience into a plurality of experience dimensions; establishing an experience calculation model according to the experience dimension; acquiring user experience data; scoring each experience dimension according to the user experience data to obtain a score of each experience dimension; calculating the scores by using the experience calculation model to obtain an experience value; and optimizing the experience dimensionality lower than a preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score. The invention can effectively improve the user experience and the number of users.

Description

Experience optimization method and device and electronic equipment

Technical Field

The invention relates to the technical field of software optimization, in particular to an experience optimization method and device and electronic equipment.

Background

With the advent of cloud services and 5G networks, the number of human-to-human and human-to-machine interactions is increasing, and therefore, a dramatic development is brought to the software industry, and the operational experience of software users also increasingly affects the efficiency output of the software users. However, in the prior art, a software developer cannot timely and effectively optimize software according to user experience, so that the user experience is not good, and further, customers are lost.

Disclosure of Invention

The invention aims to provide an experience optimization method, an experience optimization device and electronic equipment, which can effectively improve the experience of users and increase the number of users.

In a first aspect, the present invention provides an experience optimization method, including:

dividing user experience into a plurality of experience dimensions;

establishing an experience calculation model according to the experience dimension;

acquiring user experience data;

scoring each experience dimension according to the user experience data to obtain a score of each experience dimension;

calculating the scores by using the experience calculation model to obtain an experience value;

and optimizing the experience dimensionality lower than a preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score.

Further, the step of dividing the user experience into a plurality of experience dimensions includes:

dividing the user experience into an availability dimension, an usability dimension, an openness dimension and an incentive dimension according to the attributes of the user experience;

determining a fractional weight of user experience data from the availability dimension, the ease-of-use dimension, the openness dimension, and the incentive dimension;

and obtaining a plurality of experience dimensions according to the distribution of the fraction weight.

Further, the step of establishing an experience calculation model according to the experience dimension includes:

establishing a scoring interval of each experience dimension;

establishing a summation formula according to the scoring interval of each experience dimension, wherein the summation formula is as follows:

wherein, P is the total score of each experience dimension score, U is the availability dimension score, E is the usability dimension score, O is the openness dimension score, and IN is the motivation dimension score.

Further, the step of establishing a scoring interval for each experience dimension includes:

dividing a plurality of grading levels according to the user experience;

and establishing a grading interval of each experience dimension according to the plurality of grading levels.

Further, the step of obtaining user experience data includes:

and acquiring user experience data matched with the experience dimensions according to a preset buried point.

Further, the step of scoring each experience dimension according to the user experience data includes:

grading the matched user experience data according to the scores corresponding to the grading intervals to obtain a plurality of user experience data grades;

and after accumulating and summing the scores of the user experience data, finishing the score matched with the experience dimension.

Further, the step of optimizing the experience dimension lower than a preset score according to the experience value until the experience dimension is greater than or equal to the preset score includes:

outputting the experience value and generating an analysis report;

optimizing the experience dimensionality lower than a preset score according to the analysis report;

and completing experience optimization when the score of the experience dimension is greater than or equal to the preset score.

In a second aspect, the present invention provides an experience optimization apparatus, including:

a dimension unit for dividing user experience into a plurality of experience dimensions;

the model establishing unit is used for establishing an experience calculation model according to the experience dimension;

the data acquisition unit is used for acquiring user experience data;

the scoring unit is used for pre-testing scoring of each experience dimension according to the user experience data to obtain the score of each experience dimension;

the calculating unit is used for calculating the scores by using the experience calculating model to obtain an experience value;

and the optimization unit is used for optimizing the experience dimensionality lower than the preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score.

In a third aspect, the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-executable instructions executable by the processor, and the processor executes the computer-executable instructions to implement the steps of the experience optimization method according to the first aspect.

In a fourth aspect, the invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the experience optimization method of the first aspect.

The embodiment of the invention has the following beneficial effects:

the invention provides an experience optimization method, an experience optimization device and electronic equipment, wherein user experience is divided into a plurality of experience dimensions; then establishing an experience calculation model according to the experience dimension; acquiring user experience data; then, scoring each experience dimension according to the user experience data to obtain the score of each experience dimension; calculating the scores by using the experience calculation model to obtain an experience value; and finally, optimizing the experience dimensionality lower than the preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score. In the above mode provided by this embodiment, the user experience is divided into a plurality of experience dimensions and an experience calculation model is established, when the user experience data is acquired, each experience dimension is scored to obtain a score, then the experience calculation model is used for calculating to obtain an experience value, and finally the experience dimensions of the user experience are optimized according to the experience values, so that the problem that a software developer cannot timely and effectively optimize software according to the user experience to cause poor user experience, further the problem of losing customers is solved, the user experience is effectively improved, and the number of users is increased.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of a method for optimizing experience according to an embodiment of the present invention;

FIG. 2 is a data visualization analysis report diagram according to an embodiment of the present invention;

FIG. 3 is a diagram illustrating data visualization analysis report data provided by an embodiment of the present invention;

fig. 4 is a schematic diagram of an experience optimization apparatus according to a second embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Icon: 401-dimension unit; 402-a model building unit; 403-a data acquisition unit; 404-scoring unit; 405-a calculation unit; 406-an optimization unit; 500-a processor; 501-a memory; 502-a bus; 503 — a communication interface.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the prior art, a software developer cannot timely and effectively optimize software according to user experience, so that the user experience is not good, and further, customers are lost. The invention provides an experience optimization method, an experience optimization device and electronic equipment, wherein the technology divides user experience into a plurality of experience dimensions; then establishing an experience calculation model according to the experience dimension; acquiring user experience data; then, scoring each experience dimension according to the user experience data to obtain the score of each experience dimension; calculating the scores by using the experience calculation model to obtain an experience value; and finally, optimizing the experience dimensionality lower than the preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score, so that the experience feeling of the user can be effectively improved, and the number of the users can be increased.

For the convenience of understanding the embodiment, a detailed description is first given of an experience optimization method disclosed in the embodiment of the present invention.

The first embodiment is as follows:

referring to fig. 1, a flowchart of a method for optimizing experience, which may be executed by an electronic device such as a computer, a processor, etc., the method mainly includes steps S101 to S105:

step S101, dividing user experience into a plurality of experience dimensions.

And S102, establishing an experience calculation model according to the experience dimension.

Step S103, obtaining user experience data.

And step S104, scoring each experience dimension according to the user experience data to obtain the score of each experience dimension.

And step S105, calculating the scores by using the experience calculation model to obtain an experience value.

And S106, optimizing the experience dimensionality lower than the preset score according to the experience value until the experience dimensionality is larger than or equal to the preset score.

In the above mode provided by this embodiment, the user experience is divided into a plurality of experience dimensions and an experience calculation model is established, when the user experience data is acquired, each experience dimension is scored to obtain a score, then the experience calculation model is used for calculating to obtain an experience value, and finally the experience dimensions of the user experience are optimized according to the experience values, so that the problem that a software developer cannot timely and effectively optimize software according to the user experience to cause poor user experience, further the problem of losing customers is solved, the user experience is effectively improved, and the number of users is increased.

In specific implementation, the user experience is divided into a plurality of experience dimensions, and the following steps a to c may be referred to:

and a, dividing the user experience into an availability dimension, an usability dimension, an openness dimension and an incentive dimension according to the attributes of the user experience.

And b, determining the score weight of the user experience data according to the usability dimension, the openness dimension and the incentive dimension.

And c, obtaining a plurality of experience dimensions according to the distribution of the fraction weight.

For ease of understanding, the exemplary descriptions are as follows: through expert confirmation and investigation of a large number of users, the usability dimension, the openness dimension and the motivation dimension can be used as four important dimensions of user experience.

Wherein, the usability dimension can support the complete use link of the user; the function and application scene of the system can fully cover the target role user; the method can cover the complete use link of the main scene of the target role user without the condition of scene link interruption.

The usability dimension is that the presentation layer is consistent with the product target, and the styles and semantic communication of the graphics, the colors, the copy, the fonts, the components and the like of the presentation layer are consistent, unambiguous and suitable for the scene.

The openness dimension is an interface which can be normally provided for the outside for developers to use, and users can customize applications, product designs and bottom layer frameworks, and support flexible configuration and expansion to adapt to different service scenes.

The motivational dimension is to help the relevant person gain an increase in competence, skill, etc.

In addition, the four general experience dimensions are subjected to quantifiable dimension refinement, each experience dimension further comprises a plurality of sub-dimensions, scores of the sub-dimensions are quantified, and a scored data source is determined; and carrying out weight division on each sub-dimension, and determining a data acquisition and calculation rule of each sub-dimension. The full scores of the individual sub-dimension scores add up to 100. Wherein the specific distribution of experience dimensions, sub-dimensions and weights can be referred to table 1.

TABLE 1

The validity is that the user can support a complete use link; the function and application scene can fully cover the target role user; the method can cover the complete use link of the main scene of the target role user without the condition of scene link interruption. The trial paths of each function of the user are recorded, and all user operation paths are visualized to serve as path thermodynamic diagrams.

System stability can be monitored by technical means, such as: error rates of a server, an interface, page display and the like, instant storage after errors, an information feedback mechanism and the like. The instant storage and information feedback mechanism after the product is in error is recorded. And recording and monitoring error rates of background servers, interfaces, page display and the like.

The system response speed is the recording interface data return speed and the loading speed of all pages. Here, form, page load transition animations are recorded.

The information is clear in primary and secondary and is consistent in appearance, and the rationality of the layer where various functional modules of the product are located is recorded. The styles and semantic communications of the graphics, colors, patterns, fonts, components and the like of the recording presentation layer are consistent, unambiguous and suitable for the scene.

And whether a clear unified entry exists or not is recorded simply and easily, and the number of steps required for completing the event is recorded.

And recording all user behavior paths for smooth experience, and judging whether the user behavior paths are consistent with the set key paths.

The fault-tolerant rationality records whether fault-tolerant processing such as prompting, backspacing and the like exists on key points which possibly generate misoperation or generate large influence after the operation, but the intensity needs to be paid attention and the user is not disturbed excessively.

And (4) whether the achievement sharing visual record has the user behavior or not, and the achievement carries out data statistical analysis and visualization.

The data online guarantees that the key information of the client is completely stored, the order flow is smoothly generated and circulated, and the fund flow payment and collection are smoothly carried out, so that the information of all links is synchronous and intercommunicated. And recording whether the data of each link are communicated or not.

In the above manner provided by this embodiment, experience dimension division can be performed on user experience, which is convenient for score calculation.

In specific implementation, the step of establishing an experience calculation model according to experience dimensions includes:

and establishing a scoring interval of each experience dimension.

Establishing a summation formula (1) according to the scoring interval of each experience dimension, wherein the summation formula (1) is as follows:

In addition, the step of establishing a scoring interval for each experience dimension includes:

a plurality of rating levels are divided according to user experience.

And establishing a scoring interval of each experience dimension according to a plurality of scoring levels.

In one particular embodiment, the following is exemplified: the rating scale can be classified as poor, fair, general, good, and excellent. The scoring intervals for each experience dimension can be seen with reference to table 2.

Availability score interval (total score 25)

Rank of	Fractional interval
		Is poor	(0,10]
Go and can	(10,13]
		In general	(13,18]
Good effect	(18,21]
		Is excellent in	(21,25]

Usability score interval (total score 25)

Openness scoring interval (total score 25)

Incentive score Interval (Total score 25)

TABLE 2

In specific implementation, the step of acquiring the user experience data includes acquiring the user experience data matched with each experience dimension according to a preset buried point.

Wherein, the product is buried and data acquisition is carried out. Collecting data user experience data includes, but is not limited to, the following:

the method comprises the steps of accumulating users, newly added users, active users, inactive users, silent users, lost users, 1-30 day retention rate, 1-30 day reflow customers, 1-30 day loss reflow rate, user average online time, skip rate, user life cycle, PV (PageView, access amount), UV (Uniform View, access number), click amount, transaction amount, collection amount, UGC (user generated Content) amount, forwarding amount, material usage amount, advertisement release amount, product income, market release cost, activity cost, per-capita active user payment, per-capita payment, user acquisition cost, user life value cycle, crash rate (collapse rate), starting time consumption, page loading average time, collapse rate, low-access pages, page redundancy rate, slow page response number/rate and available time.

In specific implementation, the step of scoring each experience dimension according to the user experience data includes:

and grading the matched user experience data according to the scores corresponding to the grading intervals to obtain a plurality of user experience data grades.

And after the scores of the user experience data are accumulated and summed, the scores of the matched experience dimensions are completed.

In the above manner provided by this embodiment, scoring may be performed according to the experience data of the user.

In specific implementation, the step of optimizing the experience dimension lower than the preset score according to the experience value until the experience dimension is greater than or equal to the preset score may refer to steps (1) to (3):

and (1) outputting the experience value and generating an analysis report.

And (2) optimizing the experience dimension lower than the preset score according to the analysis report.

And (3) finishing experience optimization when the score of the experience dimension is greater than or equal to a preset score.

In the above manner provided by this embodiment, experience optimization may be performed through analysis of the experience value.

In a specific embodiment, the data visualization analysis report graph shown in fig. 2 and the data visualization analysis report data shown in fig. 3 can be referred to indicate problematic dimensions of the product and guide the user of the product to experience optimization. Product user experience may be recorded here in different dimensions of day, week, month, quarter, year, etc.

Example two:

referring to fig. 4, a schematic diagram of an experience optimization apparatus includes:

a dimension unit 401, configured to divide the user experience into multiple experience dimensions.

A model building unit 402, configured to build an experience calculation model according to the experience dimension.

A data obtaining unit 403, configured to obtain user experience data.

And the scoring unit 404 is used for pre-checking that each experience dimension is scored according to the user experience data to obtain the score of each experience dimension.

And a calculating unit 405, configured to calculate the score by using the experience calculation model to obtain an experience value.

And an optimizing unit 406, configured to optimize, according to the experience value, the experience dimension lower than the preset score until the experience dimension is greater than or equal to the preset score.

In a specific embodiment, the dimension unit 401 is further configured to divide the user experience into an availability dimension, an ease-of-use dimension, an openness dimension, and an incentive dimension according to the attributes of the user experience;

determining a score weight for the user experience data according to the availability dimension, the ease-of-use dimension, the openness dimension, and the incentive dimension;

multiple experience dimensions are obtained according to the distribution of the fractional weights.

In one embodiment, the model building unit 402 is further configured to:

establishing a scoring interval of each experience dimension;

establishing a summation formula (2) according to the scoring interval of each experience dimension, wherein the summation formula (2) is as follows:

In one embodiment, the model building unit 402 is further configured to:

dividing a plurality of grading levels according to user experience;

In one embodiment, the data acquiring unit 403 is further configured to: and acquiring user experience data matched with each experience dimension according to the preset buried points.

In a specific embodiment, the scoring unit 404 is further configured to: grading the matched user experience data according to the scores corresponding to the grading intervals to obtain a plurality of user experience data grades;

In a specific embodiment, the optimization unit 406 is further configured to: outputting experience values and generating an analysis report;

optimizing experience dimensions lower than a preset score according to the analysis report;

and completing experience optimization when the score of the experience dimension is greater than or equal to a preset score.

The embodiment of the invention also provides an electronic device, which comprises a processor and a memory, wherein the memory stores computer executable instructions capable of being executed by the processor, and the processor executes the computer executable instructions to realize the steps of the experiment optimization method of the embodiment.

Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device includes: the system comprises a processor 500, a memory 501, a bus 502 and a communication interface 503, wherein the processor 500, the communication interface 503 and the memory 501 are connected through the bus 502; the processor 500 is used to execute executable modules, such as computer programs, stored in the memory 501.

The Memory 501 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 503 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.

Bus 502 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.

The memory 501 is used for storing a program, the processor 500 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 500, or implemented by the processor 500.

The processor 500 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 500. The Processor 500 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 501, and the processor 500 reads the information in the memory 501, and completes the steps of the method in combination with the hardware thereof.

The embodiment of the invention also provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program executes the steps of the embodiment of the experimental optimization method when being executed by a processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing experience, comprising:

dividing user experience into a plurality of experience dimensions;

acquiring user experience data;

2. The method of claim 1, wherein the step of dividing the user experience into a plurality of experience dimensions comprises:

3. The method of claim 1, wherein the step of building a computational model of experience from the experience dimensions comprises:

establishing a scoring interval of each experience dimension;

4. The method of claim 3, wherein the step of establishing a scoring interval for each of the experience dimensions comprises:

dividing a plurality of grading levels according to the user experience;

5. The method of claim 4, wherein the step of obtaining user experience data comprises:

6. The method of claim 5, wherein scoring each of the experience dimensions based on the user experience data comprises:

7. The method according to claim 1, wherein the step of optimizing the experience dimension below a preset score according to the experience value until the experience dimension is greater than or equal to the preset score comprises:

outputting the experience value and generating an analysis report;

8. An experience optimization apparatus, comprising:

the data acquisition unit is used for acquiring user experience data;

9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor to perform the steps of the experience optimization method of any one of claims 1 to 7.

10. A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the experience optimization method of any of the preceding claims 1 to 7.