CN109493129B

CN109493129B - Method and device for intelligently designing product, electronic equipment and storage medium

Info

Publication number: CN109493129B
Application number: CN201811275414.XA
Authority: CN
Inventors: 谷云松; 黄侃; 于英; 荣巨兵; 冯小红; 张晓良; 刘晓琦
Original assignee: Shenzhen Meicloud Technology Co ltd
Current assignee: Shenzhen Meicloud Technology Co ltd
Priority date: 2018-10-30
Filing date: 2018-10-30
Publication date: 2022-03-25
Anticipated expiration: 2038-10-30
Also published as: CN109493129A

Abstract

The invention discloses a method and a device for intelligently designing a product, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring offline user requirements and online poor evaluation information of a specified product to obtain a user pain point corresponding to the specified product; classifying the pain points of the user according to a common value and an urgent value configured for the pain points of the user; aiming at the competitive products of the specified products, the solution of the competitive products to the pain point of each user is obtained; determining the priority level for solving the pain points of the user according to the classification of the pain points of the user and the solution of the competitive products to the pain points of the user; and generating a preliminary scheme of the appointed product according to the priority level for solving the pain points of the user and the scheme rating for solving the pain points of the user. According to the technical scheme provided by the invention, the collected pain points of the user can cover the crowd more comprehensively, and the designed product is favorable for meeting the public demand; the intelligent design of the product is realized by fully utilizing the collected data, a standardized system of the product design is constructed, and the cost of manpower development is saved.

Description

Method and device for intelligently designing product, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of artificial intelligence, in particular to a method and a device for product intelligent design, electronic equipment and a computer readable storage medium.

Background

The intelligent design means that modern information technology is applied, a computer is adopted to simulate thinking activities of human beings, and the intelligence level of the computer is improved, so that the computer can bear more and better various complex tasks in the design process and becomes an important auxiliary tool for designers. With the continuous progress of the technology, the performance requirements of people on various products are also continuously improved, designers need to continuously update the products in order to meet the requirements of users on the performance of the products which is higher and higher, the aim is to provide the products with better performance for the users through lower price, and how to design the products with high cost performance is a problem to be solved urgently by the designers.

At present, designers are used for market demand investigation on line in advance, for example, by visiting the market and inviting passers to fill in questionnaires, the demands of users are determined, and then existing products are improved according to the demands of the users, so that the design direction of next generation products is determined.

The mode has no standardized acquisition and analysis system, so that survey data loss and distortion are easily caused, integration, mining and analysis are difficult to realize, and the real data value cannot be reflected; and the designed requirements are acquired only through small sample sampling and market visiting, the target population coverage is not comprehensive enough, and therefore the finally designed product does not meet the public requirements.

Disclosure of Invention

The invention provides a method for intelligently designing a product, aiming at solving the problem that the finally designed product does not meet the public requirements due to incomplete collected survey data and no standardized data analysis system in the related technology.

In one aspect, the present invention provides a method for intelligently designing a product, including:

acquiring offline user requirements and online poor evaluation information of a specified product to obtain a user pain point corresponding to the specified product;

classifying the pain points of the user according to a common value and an urgent value configured for the pain points of the user;

aiming at the competitive products of the specified products, the solution of the competitive products to the pain point of each user is obtained;

determining the priority level for solving the user pain points according to the classification of the user pain points and the solution of the competitive products to the user pain points;

and generating a preliminary scheme of the specified product according to the priority level for solving the pain points of the user and the scheme rating for solving the pain points of the user.

In another aspect, the present invention further provides an apparatus for product intelligent design, including:

the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring off-line user requirements and on-line poor-rating information of a specified product and acquiring user pain points corresponding to the specified product;

the pain point classification module is used for classifying the pain points of the user according to the universal value and the urgent value configured for the pain points of the user;

the competitive product screening module is used for acquiring the solution of the competitive product to the pain point of each user aiming at the competitive product of the specified product;

the grading module is used for determining the priority level of solving the user pain points according to the classification of the user pain points and the solution of the competitive products to the user pain points;

and the scheme determining module is used for generating a preliminary scheme of the specified product according to the priority level for solving the pain points of the user and the scheme rating for solving the pain points of the user.

In addition, the present invention also provides an electronic device including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the method of product intelligent design described above.

In addition, the invention also provides a computer readable storage medium, which stores a computer program, and the computer program can be executed by a processor to implement the method for intelligently designing the product.

The technical scheme provided by the embodiment of the invention can have the following beneficial effects:

the technical scheme provided by the invention is that the on-line pain points and the off-line pain points of the users are collected, the priority level for solving the pain points of the users is determined according to the classification of the pain points of the users according to the common values and the urgent values and the solution of the pain points of the users by the competitive products, and then the design scheme of the specified product is generated according to the priority level for solving the pain points of the users and the scheme for solving the pain points of the users. According to the technical scheme provided by the invention, the pain points of the user are collected online and offline, so that the coverage of people is more comprehensive, and the designed product is favorable for meeting the public requirements; in addition, the intelligent design of the product is realized by fully utilizing the collected data, a standardized system of the product design is constructed, and the cost of manpower development is saved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

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

FIG. 1 is a schematic illustration of an implementation environment in accordance with the present invention;

FIG. 2 is a block diagram illustrating an apparatus in accordance with an exemplary embodiment;

FIG. 3 is a flow diagram illustrating a method for intelligent design of a product in accordance with an exemplary embodiment;

FIG. 4 is a schematic diagram of a demand management process for implementing a user, market demand process from user research to product planning;

FIG. 5 is a detailed flowchart of step 330 in the corresponding embodiment of FIG. 3;

FIG. 6 is a schematic diagram of a list of pain point libraries of a user;

FIG. 7 is a schematic illustration of a step-by-step screening of pain spots in a user;

FIG. 8 is a detailed flowchart of step 370 in the corresponding embodiment of FIG. 3;

FIG. 9 is a schematic diagram of the classification of pain spots of a user;

FIG. 10 is a schematic diagram of a listing of a user's pain point resolution for a contest;

FIG. 11 is a flow chart illustrating additional steps in accordance with the corresponding embodiment of FIG. 3;

FIG. 12 is a schematic illustration of a concept evaluation list;

FIG. 13 is a detailed flowchart of step 390 in the corresponding embodiment of FIG. 3;

FIG. 14 is a schematic illustration of a three year schedule plan;

FIG. 15 is a detailed flow diagram of additional steps over the corresponding embodiment of FIG. 3;

FIG. 16 is a schematic diagram of one form of a market opportunity list;

FIG. 17 is a schematic diagram of a market opportunity point search concept;

FIG. 18 is a schematic diagram of the reference factors for determining the final design of the product;

FIG. 19 is a block diagram of a product intelligence design provided by the present invention;

FIG. 20 is a system architecture diagram of the intelligent design of a product provided by the present invention;

FIG. 21 is a flow chart illustrating an application of the present invention;

FIG. 22 is a schematic diagram of a pain point tracking report and an analysis report employed in the present invention;

FIG. 23 is a schematic diagram of a marketing data listing for different products;

FIG. 24 is a block diagram illustrating an apparatus for product intelligence design in accordance with an exemplary embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.

FIG. 1 is a schematic illustration of an implementation environment in accordance with the present invention. The implementation environment includes: the user equipment 110, the user equipment 110 may be a desktop computer, a notebook computer, a mobile terminal, one or more servers. The user equipment 110 can be connected with the data server 130 to obtain the data stored in the data server 130, and then the intelligent design of the product is carried out according to the data, so that the manpower is liberated, the design cost is reduced, and the designed product is more in line with the market demand.

Fig. 2 is a block diagram illustrating an apparatus 200 according to an example embodiment. For example, the apparatus 200 may be the user equipment 110 in the implementation environment shown in FIG. 1.

Referring to fig. 2, the apparatus 200 may include one or more of the following components: a processing component 202, a memory 204, a power component 206, a multimedia component 208, an audio component 210, a sensor component 214, and a communication component 216.

The processing component 202 generally controls overall operation of the device 200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations, among others. The processing components 202 may include one or more processors 218 to execute instructions to perform all or a portion of the steps of the methods described below. Further, the processing component 202 can include one or more modules that facilitate interaction between the processing component 202 and other components. For example, the processing component 202 can include a multimedia module to facilitate interaction between the multimedia component 208 and the processing component 202.

The memory 204 is configured to store various types of data to support operations at the apparatus 200. Examples of such data include instructions for any application or method operating on the apparatus 200. The Memory 204 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. Also stored in memory 204 are one or more modules configured to be executed by the one or more processors 218 to perform all or a portion of the steps of any of the methods of fig. 3, 5, 8, 11, 13, and 15, described below.

The power supply component 206 provides power to the various components of the device 200. The power components 206 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 200.

The multimedia component 208 includes a screen that provides an output interface between the device 200 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a touch panel. If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. The screen may further include an Organic Light Emitting Display (OLED for short).

The audio component 210 is configured to output and/or input audio signals. For example, the audio component 210 includes a Microphone (MIC) configured to receive external audio signals when the device 200 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 204 or transmitted via the communication component 216. In some embodiments, audio component 210 also includes a speaker for outputting audio signals.

The sensor component 214 includes one or more sensors for providing various aspects of status assessment for the device 200. For example, the sensor assembly 214 may detect an open/closed state of the device 200, the relative positioning of the components, the sensor assembly 214 may also detect a change in position of the device 200 or a component of the device 200, and a change in temperature of the device 200. In some embodiments, the sensor assembly 214 may also include a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 216 is configured to facilitate wired or wireless communication between the apparatus 200 and other devices. The device 200 may access a WIreless network based on a communication standard, such as WiFi (WIreless-Fidelity). In an exemplary embodiment, the communication component 216 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the Communication component 216 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wideband (UWB) technology, bluetooth technology, and other technologies.

In an exemplary embodiment, the apparatus 200 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital signal processors, digital signal processing devices, programmable logic devices, field programmable gate arrays, controllers, microcontrollers, microprocessors or other electronic components for performing the methods described below.

FIG. 3 is a flow diagram illustrating a method for intelligent design of a product, according to an example embodiment. The application scope and execution subject of the method for product intelligent design may be a user device, which may be the user device 110 of the implementation environment shown in fig. 1. As shown in fig. 3, the method for product intelligent design may be performed by the user equipment 110 and may include the following steps.

In step 310, obtaining off-line user requirements and on-line poor rating information of a specified product, and obtaining a user pain point corresponding to the specified product;

it should be noted that the designated product may be electric equipment such as a washing machine, a refrigerator, an air conditioner, etc., or may be other industrial design products. The invention will be exemplified below by taking the design of a washing machine as an example, that is, taking the specific product as a washing machine as an example, and designing other products can refer to the intelligent design process of the washing machine.

The offline user demands refer to dissatisfaction of early users, severe users, fevers, on-site first-line shopping guides and operators on a designated product (washing machine), and can be collected by staff visiting the market in advance. The online poor appraisal information refers to the defects of specified products fed back by clients during online sales, and can be internet data provided by a mainstream electronic commerce platform, a large-scale comprehensive website, a professional vertical website, a WeChat microblog and the like, and data provided by an existing large data platform such as a star finder, a product magic cube, a smart eye and the like.

The pain point of the user refers to the problem which is not solved in a certain product or products and needs to be solved urgently by the user. These questions can be analyzed to remove meaningless bad reviews or requirements by analyzing off-line user requirements and on-line bad review information to obtain a user pain point corresponding to a given product.

In step 330, classifying the pain points of the user according to the configured general value and urgent value of the pain points of the user;

wherein, the prevalence value refers to the prevalence of the pain point of the user, and the urgency value refers to the urgency of the pain point of the user, which can be expressed by the form of high or low value, the prevalence value with high prevalence is high, and the urgency value with high urgency is high. The prevalence and urgency values may generally be stored at the user device 110 by investigating the data results + expert scoring, and then averaging all the scored values.

Specifically, the user pain spots with higher common values and higher urgent values can be classified into a first category, the user pain spots with higher common values and lower urgent values can be classified into a second category, the user pain spots with lower urgent values can be classified into a third category, and the user pain spots with lower common values and lower urgent values can be classified into a fourth category. Among them, the pain spots of the first type users can be considered as the pain spots needing to be solved preferentially.

FIG. 4 is a schematic diagram of a demand management process for implementing user, market demand from user research to product planning. As shown in FIG. 4, the whole is divided into requirement collection, requirement analysis, requirement transformation and requirement review. The demand sources of the demand collection can be user demands and market demands, and the user demand sources include user research, customer service after-sales feedback, user feedback (e-commerce, WeChat, microblog and the like), terminal feedback, research and development demands and quality feedback. The market demand sources are market analysis, customer demand and target product benchmarks. The collected demand is entered as the original demand. And then analyzing, filtering and classifying the input original requirements in a requirement analysis stage to form an effective requirement library. And then, in a requirement transformation stage, sequencing, transforming or reclassifying the requirements in the effective requirement library, namely, classifying the requirements into a first class of user pain points, a second class of user pain points, a third class of user pain points and a fourth class of user pain points, wherein each user pain point has a corresponding solution strategy in the concept library. And finally, performing requirement evaluation, performing user verification and technical verification on the solution strategy in the concept library, and finding out the concept with high priority level for product development, product planning and technical planning.

In step 350, aiming at the competitive products of the specified products, the solution of the competitive products to the pain point of each user is obtained;

wherein the competitive products can be preset competitive brands, such as brand A washing machines. The resolution of the contest to the pain point of each user may be resolved, unresolved, or temporarily unanalyzed. For example, if there are user pain points numbered 1-10, then for user pain point 1, the contest may have a resolved, unresolved, or temporarily unanalyzed situation, for user pain point 2, the contest may have a resolved, unresolved, or temporarily unanalyzed situation, and so on. Generally, if a pain point of a certain user cannot be solved by all similar products in the market, the pain point can be considered to be preferably required to be solved. In addition, if a certain pain point competitive product can be solved and the enterprise product cannot be solved, the preferential treatment needs to be carried out.

In step 370, determining a priority level for solving the pain point of the user according to the classification of the pain point of the user and the solution of the competitive products to the pain point of the user;

specifically, the pain points of the user are classified according to the above step 330, and the pain points of the user are classified into a first category, a second category, a third category and a fourth category according to the common value and the urgent value of the pain points of the user, wherein the pain points of the user with the larger common value and the urgent value of the first category are firstly confirmed as the pain points to be solved preferentially. Then according to the existing product solutions and competitive product solutions of the enterprise to the preferential pain points, user pain points which are not solved by the enterprise product and the competitive product can be found out from the preferential pain points to serve as user pain points of class A, user pain points which are not solved by the enterprise product and the competitive product and are solved by the enterprise product can be found out from the preferential pain points to serve as user pain points of class B, and the class A and the class B can be regarded as user pain points with higher priority.

And the pain points of the users, which are solved by the enterprise products and solved or not solved by the competitive products, of the enterprise products are found out from the pain points solved preferentially as the pain points of the users of class C, and the pain points, which are not analyzed by the enterprise products and the competitive products in the pain points solved preferentially, of the users of class D are used as the pain points of the users of class D, so that the pain points solved preferentially are divided into class A, class B, class C and class D according to the priority from high to low. Similarly, the pain points of the users in the second, third and fourth categories can be classified into categories a, B, C and D according to the priority.

In step 390, a design plan for the designated product is generated according to the priority level for solving the pain point of the user and the plan rating for solving the pain point of the user.

It should be noted that the solution or direction corresponding to the pain point of the user may be referred to as a concept. The solution or direction of the pain point of the user can be searched by a research and development personnel through analyzing the cause of the pain point, and the solution or direction corresponding to each cause is searched. Therefore, the solution of the pain point of each user is not perfect, and the solution of the pain point of the user also needs to consider the cost, the realization difficulty, the solution effect and the like, so that research personnel or a computer can evaluate the solution of the pain point of the user in advance. Specifically, a set of evaluation system can be established, including internal evaluation or external evaluation, which involves 12 evaluation indexes, and combines the pain level (common value × urgent value) of the pain point of the corresponding user to finally obtain the scheme rating for solving the pain point of the user.

Specifically, according to the priority level of solving pain points of the user, a pain point class a of the pain points which are preferentially solved can be found out, then, according to the scheme rating of solving the pain point class a, a pain point scheme with a higher scheme rating in the pain point class a can be found out, and the schemes are used as preliminary schemes of the specified product. Thus, intelligent design of a specified product is realized. Certainly, more information can be combined when the product design is perfect, and the primary scheme is only a prototype of intelligent design.

The above exemplary embodiment of the present invention provides a technical solution, where on-line and off-line pain points of a user are collected, a priority level for solving the pain points of the user is determined according to classification of the pain points of the user according to a common value and an urgent value and a solution of a competitive product to the pain points of the user, and a design scheme of a specified product is generated according to the priority level for solving the pain points of the user and a scheme rating for solving the pain points of the user. According to the technical scheme provided by the invention, the pain points of the user are collected online and offline, so that the coverage of people is more comprehensive, and the designed product is favorable for meeting the public requirements; in addition, the intelligent design of the product is realized by fully utilizing the collected data, a standardized system of the product design is constructed, and the cost of manpower development is saved.

In an exemplary embodiment, as shown in fig. 5, the step 330 specifically includes:

in step 331, determining median values of the common values of all the pain spots of the user and median values of the urgent values of all the pain spots of the user according to the common values and the urgent values configured for the pain spots of the user;

as shown in FIG. 6, assuming that there are pain spots of users with numbers 1-10, a common value and an urgent value are configured for each pain spot of the users, for example, the urgent value of the pain spot of the user with number 1 is 7.68, and the common value is 7.85. Thus, the median urgency values of 7.68, 7.61, 7.55, 7.60 … … for all users' pain points can be found. The median urgency value is the median urgency value for all users' pain spots. The median of the prevalent values for the pain points of all users, 7.85, 7.58, 7.60, 7.51 … …, can be found.

In step 332, the pain points of the user with the prevalence value greater than the median prevalence value and the urgency value greater than the median urgency value are classified as preferential resolution pain points.

As shown in fig. 7, the median of the common values and the median of the urgent values may be taken as the coordinate centers, and the pain points of the user with the common values greater than the median of the common values and the urgent values greater than the median of the urgent values are classified as the pain points to be solved preferentially, i.e., the pain points to be solved preferentially in the first quadrant in fig. 7.

Further, the pain spots of the user with the common value greater than the median of the common values and the urgent value less than the median of the urgent values are classified as mass pain spots, i.e., the pain spots of the user in the fourth quadrant in fig. 7. Dividing the user pain points with the common value less than the median of the common value and the urgent value greater than the median of the urgent value into individual pain points, namely the individual pain points in the second quadrant in fig. 7; the user pain spots with a prevalence value less than the median prevalence value and an urgency value less than the median urgency value are classified as reserve pain spots, i.e., reserve pain spots in the third quadrant in fig. 7.

In an exemplary embodiment, as shown in fig. 8, the step 370 includes:

in step 371, obtaining preferential solution pain spots, mass pain spots, individual pain spots and reserve pain spots according to the classification of the user pain spots;

according to the general value and the urgent value of each user pain point, the median of the general value and the median of the urgent value can be determined, and all user pain points can be classified to be preferentially solved according to the relation between the general value and the median of the general value and the relation between the urgent value and the median of the urgent value of each user pain point.

In step 372, according to the solutions of the competitive products and the products supplied by the current enterprise to the preferential pain point solution, the mass pain point, the individual pain point and the reserve pain point, the priority level for solving the pain points of different users is determined.

As shown in fig. 9, pain points that are not solved by both the products offered by the current enterprise and the premiums are classified as class a, pain points that are solved by the premiums but not solved by the products offered by the current enterprise are classified as class B, pain points that are solved by the products offered by the previous enterprise are classified as class C, pain points that are not analyzed by the product and the premiums are classified as class D, and the pain point priorities of classes A, B, C, D are sequentially decreased. Since the preferential pain-relieving points, the mass pain points, the individual pain points and the reserved pain points have corresponding priorities, the preferential pain-relieving points can be sorted according to the A, B, C, D-class sequence, the mass pain points are sorted according to the A, B, C, D-class sequence, the individual pain points are sorted according to the A, B, C, D-class sequence, and the reserved pain points are sorted according to the A, B, C, D-class sequence. The lowest priority is to reserve pain points, while the highest priority is to preferentially address pain points.

Certainly, all the pain points of class a, the pain points of class B, the pain points of class C and the pain points of class D can be found out first and then sorted, all the pain points of class a are sorted according to the order of preferentially solving the pain points, mass pain points, individual pain points and reserved pain points, the pain points of class B are sorted according to the order of preferentially solving the pain points, mass pain points, individual pain points and reserved pain points, and so on, the priority sorting of the pain points of all the users is obtained, and the pain point of the user with the first sorting can be regarded as the highest priority.

As shown in fig. 10, for each pain point of the user, there is a corresponding pain point classification, and the solution of the pain point by the product and the contest, and the competition priority, in practical application, the preferential pain point in the pain points of class a can be found and solved first. For example, the pain points of the two users with

numbers

4 and 7 can be considered as the highest priority, and the pain points of the two users are solved first.

In an exemplary embodiment, before the step 390, as shown in fig. 11, the method provided by the present invention may further include the following steps:

in step 381, calculating an evaluation value of the solution corresponding to the pain point of the user according to the goodness of fit, realizability, implementation cost and implementation period of the solution corresponding to the pain point of the user;

it should be noted that, a developer may evaluate solutions corresponding to pain spots of each user in advance, and configure corresponding numerical values for each solution to respectively represent goodness of fit, realizability (feasibility), implementation cost, and implementation period between the pain spot of the user and the corresponding solution.

As shown in fig. 12, each solution has a corresponding fitness value, realizability value, realization cost value, and realization period value, and an evaluation value, which may also be referred to as a concept rating, of the solution corresponding to the pain point of the user may be calculated based on these values. Here, the concept rating is the concept goodness of fit × 3.5+ realizability × 3+ implementation cost × 1.5+ implementation period × 2, and thus an evaluation value of a solution corresponding to the pain point of the user is obtained.

In step 382, the pain level of the pain point of the user is obtained by multiplying the prevalence value and the urgency value of the pain point of the user;

that is, the pain level is the general value and the urgency value, for example, as shown in fig. 6, the user pain point with the number 1 has the urgency value of 7.68, the general value of 7.85, and the pain level is about 60 by multiplying the urgency value and the general value. Similarly, the pain level of the pain point of each user can be calculated according to the urgent value and the general value of the pain point of each user.

In step 383, the pain level of the pain point of the user and the evaluation value of the solution corresponding to the pain point of the user are weighted and fused to obtain the scheme rating of the solution of the pain point of the user.

Specifically, after calculating the pain level of the pain point of the user and the evaluation value of the solution corresponding to each pain point of the user, weighted addition may be performed, and the result may be ranked as the solution for solving the pain point of the user. For example, the program rating may also be referred to as a concept composite rating, the program rating value may be referred to as a concept rating, and the concept composite rating ═ pain rating × 40% + concept rating × 60%. From this, a scheme rating is calculated that addresses the pain point of each user.

In an exemplary embodiment, as shown in fig. 13, the step 390 may include the steps of:

in step 391, screening out target pain points which are preferentially solved according to the priority level of solving the user pain points;

as described above, all the user pain points can be classified into preferential solution pain points, mass pain points, individual pain points, and reserve pain points, and all the user pain points can be classified into A, B, C, D types, so that the a type preferential solution pain points are screened out as the target pain points to be preferentially solved by comprehensively considering the two classification modes.

In step 392, obtaining a willingness-to-pay to address the target pain point;

the willingness-to-pay may represent a payment price that the user is willing to receive to address the target pain point. Generally, the scheme with low cost and good effect has larger willingness to pay, and research personnel can carry out market investigation in advance and configure a willingness to pay value for solving each target pain point according to the willingness to pay.

In step 393, according to the scheme rating and the willingness-to-pay for solving the target pain point, bringing the solution with the scheme rating and the willingness-to-pay both greater than the intermediate value into a development direction, and generating a preliminary scheme of the specified product.

As shown in fig. 14, a solution having a scenario rating greater than the scenario rating median and a willingness-to-pay less than the willingness-to-pay median may be sought for a low-cost alternative solution by finding a scenario rating and a willingness-to-pay median (i.e., an intermediate value) from the scenario ratings and willingness-to-pay for each target pain point, and then incorporating development of a solution having a scenario rating greater than the scenario rating median and a willingness-to-pay greater than the median.

Solutions with a solution rating less than the median solution rating and a willingness-to-pay greater than the median solution rating may be included. Solutions with a scenario rating less than the median scenario rating and a willingness-to-pay less than the median willingness-to-pay may be considered as a reserve concept.

Thus, based on the solution incorporating the developed target pain point, a preliminary solution can be generated that specifies the product. For example, the washing machine is designed as a power door, the washing machine is designed as a one-key tub for dry sterilization, and the like.

In an exemplary embodiment, as shown in fig. 15, the method provided by the present invention further includes:

in step 410, acquiring sales data of products with different performances in the market, and constructing a market opportunity list;

taking a washing machine as an example, a combined list of products for monitoring different performances can be formed, such as: 126 combinations of the rotary drum, 135 combinations of the impeller and 108 combinations of the clothes dryer, and the sales data comprises: sales/volume (rate) changes, mean price (value) changes, SKU distribution, etc., same-rate/ring-rate (month/quarter/year), forming a market opportunity list. The market opportunity list may include sales data corresponding to washing machines of different price ranges and different capacity ranges.

In step 420, searching a plurality of market opportunity points which are ranked at the top of the market opportunity list and have rising ring ratio and same ratio from the market opportunity list to obtain a target product corresponding to the market opportunity point;

FIG. 16 is a form of a market opportunity list, in which 13 price segments are set from 1500-10000, 9 segments are set from 6kg-13kg for capacity, corresponding price segments and corresponding capacity segments, with corresponding sales data, whereby market opportunity points with a market odds 5 before ranking and a ring ratio and a comparably ascending can be found from this market opportunity list, as shown in FIG. 17, A indicates that the market odds 5 before ranking and the comparably/ring ratio is ascending at the same time; b represents that the same ratio/ring ratio rises simultaneously; c represents the ratio 5 before the rank and the ratio is increased; d indicates that the ratio ranks 5 top and the ring ratio rises, then E5 in fig. 16 can be found finally, which is the market opportunity point found in the market opportunity list.

As shown in FIG. 16, the products corresponding to the market opportunity points include the products of the enterprise, product A, product B, brand C, and brand D. The retail quantity occupancy of brand C is high, and the brand C can be used as a target product. Furthermore, the truth mining behind the opportunity points can be carried out, and the main sale models, the new products, the selling points and the areas of the brands can be obtained for analysis, so that the product planning coping suggestions can be provided.

In step 430, price, performance and capacity data corresponding to the target product is obtained.

After the target product is determined, the price, function, performance, capacity, appearance and other data corresponding to the target product stored in advance can be obtained.

Further, on the basis of the above embodiment, the method provided by the present invention further includes:

positioning a product prototype of the specified product according to the price, the performance and the capacity of the target product;

for example, in the washing machine, a market opportunity point with the market ratio of 5 at the top and the same and ring ratios rising is found in a market opportunity list composed of different capacity segments and different price intervals, and the price and the capacity corresponding to the market opportunity point can be regarded as a relatively proper capacity and price, and the new generation of washing machines can refer to the capacity and the price. In addition, according to the performance of the target product corresponding to the market opportunity point, the performance of the washing machine designed by the next generation can be positioned. Generally, the advantages are found by performing benchmarking according to the parameters of the enterprise products and the parameters of a certain type of brand C, and the defects are made up.

And on the basis of the product prototype, fusing the preliminary scheme and the functional program preferred by the user to determine the final design of the specified product.

It should be noted that the data source of the user preference is an upstream system, and specifically, the function program list of the user preference can be obtained according to the proportion of the user to the function program, and the calculation formula is as follows: the annual cumulative ratio up to the statistical time is the annual usage times of each function program/the annual usage times of all the function programs. That is, if the cumulative usage percentage of a certain function program is large throughout the year, it indicates that the user prefers the function program. In the new product design stage, the functional program with high user preference degree can be selected preferentially. After the performance, price and capacity of the new product are located, the functional programs of the new product can be located, so that the final design of the new product is determined. The final design of the new product may also be determined based on the appearance of the target product, as desired, and the user's preferences.

As shown in FIG. 18, by making a market opportunity determination, it is determined that the opportunity market may be an enterprise drawing a drum of 6000 RMB or more and greater than 10 KG. According to the user pain points of the corresponding crowds, determining a preliminary scheme of a new product, further according to the capacity, the function, the performance and the appearance of a target product and the preference of a user, positioning the capacity, the function, the performance and the appearance of the new product, and determining the final design of the new product.

FIG. 19 is a block diagram of the intelligent design of a product provided by the present invention. The intelligent design of the product can also be called digital product planning. The intelligent design of the product mainly depends on an original PRM platform, a digital demand management platform, a PLM platform and a big data platform. The original PRM platform mainly surrounds a demand management platform constructed by the ideas of fig. 6, fig. 7, fig. 13, fig. 15 and fig. 17, the digital demand management platform takes the planning ideas as guidance, and the ideas of fig. 6, fig. 7, fig. 13, fig. 15 and fig. 17 as important components, so that planning key business actions are managed in a flow process, and a product prototype is identified and analyzed according to business rules. The PLM platform realizes the management of product prototypes and product planning books, and the big data platform is used for providing a demand source for a new PRM platform, providing a market analysis data source and the like.

The product digital planning can be roughly divided into four processes, namely requirement collection confirmation, user market analysis, product concept confirmation and product prototype generation. Specifically, the demand collection validation includes market demand collection, sampling demand collection, demand parsing, and big data user demand collection (docking to a big data platform). The user market analysis comprises user crowd analysis, market analysis (docking of a big data platform) and analysis result review. Validating product concepts includes creating product concepts, associating product concepts, and concept evaluation. Generating product prototypes includes user preference selection, product prototype generation (docking to a big data platform), product prototype review, and establishment (docking to a PLM platform).

FIG. 20 is a system architecture diagram of the product intelligent design provided by the present invention. As shown in fig. 20, the system architecture of the product intelligent design includes a front-end device, a web server, a dubbo (open source distributed service framework) server and a DB database server, and can obtain data provided by american sumo, PLM, 4A, star finder, smart eye, product magic cube, and the like. The system architecture of the product intelligent design specifically adopts a front-back separation mode, a background provides services through a dubbo, and a front end uses ajax to realize calling. The dubbo distributed framework is used for providing abstract packaging for a plurality of NIO (New Input/Output) frameworks based on long connection, and comprises a plurality of thread models, serialization and information exchange modes of a request-response mode. The soft load balancing and fault tolerance mechanism provides transparent remote procedure call based on the interface method, including multi-protocol support, and cluster support of soft load balancing, failure fault tolerance, address routing, dynamic configuration and the like. And the hardware load balancer such as F5 can be replaced in the intranet, so that the cost is reduced, and a single point is reduced.

The product intelligent design system, namely the product digital planning and planning platform, is a configurable development platform based on the product digital planning and planning process, and the key technology for realizing the product intelligent design system comprises the following steps: 1) and data transmission with a peripheral system can be simply realized through visual unified configuration management. When the functions are expanded or modified, the stability of the original structure is basically not damaged. 2) And supporting distributed deployment of the application servers. The system can be deployed in a centralized mode or a distributed mode, and is simple to maintain and high in reliability. 3) And supporting load balancing of the application server. 4) The load balancing function ensures the availability of the application and avoids the adverse effects on the system operation caused by system downtime, link interruption or congestion, application failure and the like. And the visual concurrency management mechanism is used for solving the conflict of concurrent requests, waiting for management and supporting reports in various formats and log output (excel, txt and html … …). 5) And short message/mail sending is supported.

Fig. 21 is a schematic view of an application flow of the present invention, and as shown in fig. 21, pain points can be classified by analyzing pain points, and product positioning is performed according to market demands and the pain point classification, so as to determine the design direction of a product. Furthermore, the target product of the product can be determined, and the standard definition list of the target product is confirmed. And product concepts of valid pain points can be created and evaluated. The product prototype is generated based on a route of product initial positioning, concept evaluation and product prototype, wherein the product initial positioning firstly determines the basic direction of the product: the method comprises the steps of automatically triggering a concept evaluation flow after product initial positioning is completed and approval, completing concept evaluation and technical point creation/association by the concept evaluation flow, automatically triggering a product prototype flow after the flow is completed, bringing the content determined by product positioning and the concept evaluation research result into a product form prototype by the product prototype, generating a product prototype, and finally entering product research and development after continuous correction. And the subsequent plan tracks the performance of the produced product after being listed under the guidance of the digital planning system, and adjusts the digital planning method to form a digital planning closed loop.

At present, the current situation and the defects of a plurality of industries in the aspects of product planning are as follows: 1) the data management system is weak, and a standardized acquisition and analysis system is not provided, so that the original data is lost, distorted and cannot be analyzed; 2) the cross-system and cross-field data dimensions are different, so that the integration, mining and analysis are difficult, and the real data value cannot be reflected; 3) the real-time performance and the accuracy of the traditional manual report are difficult to guarantee; 4) the planning mode is extensive, the characteristic extraction of market explosive money is limited, the market explosive money is only rated from sales volume and sales, the dimension is too single, and the predictability is lacked; 5) the performance of a new product is difficult to track, users complain that the pain points of the product are unknown, the direction of product improvement and planning is lost, and market users are not at all lost; 6) the planning requirement acquisition is only obtained through small sample sampling and market visiting, and target crowd coverage is not comprehensive enough.

Based on the above objective problems and disadvantages, the invention provides an intelligent product design method, which aims to construct a user-centered market-oriented demand management platform, fuse multi-directional data sources, introduce a large-data multi-dimensional analysis conclusion, construct an evaluation model and a market analysis model, and realize intelligent product design by standardizing a planned development process by means of the methods of five tables of fig. 6, 7, 13, 15 and 17. In conclusion, the invention solves the problem that the management of the pain points is easy to distort under the analysis lines of the requirement documents and the competitive products; the problem of requiring offline collection and covering incomplete pain points of a user is solved; the pain point that the manual evaluation result is inaccurate, such as demand offline evaluation, manual analysis of market opportunity points, Spec parameter setting confirmation according to the sampling investigation result, and the like, is solved; a set of digital planning method of big data input-system automatic analysis-recommendation planning scheme is defined; evaluation methods such as pain point grading, concept evaluation and the like and a market analysis model are provided; the standardized management of the whole process of the enterprise planning work is realized.

By implementing pain point analysis and grading, as shown in fig. 22, the invention enables the planning personnel to master the pain point processing situation at any time through the pain point tracking report and the analysis report presented in real time: of the pain points of users of pain-grade TOPN, which were unresolved, which had been converted into concepts, and which had fallen to the product. Important pain points which are not solved can be treated preferentially, so that the pain points of the user can be treated in a targeted manner, and the user experience of developing products can be greatly improved.

As shown in fig. 23, the market analysis is performed to enable an enterprise to grasp market trends in massive and complex market data and grasp market opportunities, thereby improving product planning hit rate.

The establishment of a set of standard analysis system, the implementation of 'big data input-system automatic analysis-recommended planning scheme' enables product planning to be more standardized and intelligentized, thereby improving the efficiency of planning work and the planning hit rate.

Meanwhile, the requirements or the adjustment are reversely deduced through a system planning conclusion so as to ensure the accuracy of source data and the feasibility of a planning method, and finally the service operation is driven to be improved.

The standardized implementation of the product intelligent design method can provide demonstration for enterprises. The product intelligent design methodology is highly reproducible and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Most enterprises can copy the management flow and the management method when planning products.

The following is an embodiment of the apparatus of the present invention, which can be used to implement the embodiment of the method for intelligently designing the product executed by the user equipment 110 according to the present invention. For details not disclosed in the embodiments of the apparatus of the present invention, please refer to the embodiments of the method for intelligent design of the product of the present invention.

Fig. 24 is a block diagram illustrating an apparatus for product intelligent design, which may be used in the user device 110 of the implementation environment shown in fig. 1, to perform all or part of the steps of the method for product intelligent design shown in any one of fig. 3, 5, 8, 11, 13 and 15 according to an example embodiment. As shown in fig. 24, the apparatus includes, but is not limited to: the system comprises a data acquisition module 2410, a pain point classification module 2430, an item competition screening module 2450, a grading module 2470 and a scheme determination module 2490.

The data acquisition module 2410 is used for acquiring offline user requirements and online poor evaluation information of a specified product to obtain a user pain point corresponding to the specified product;

a pain point classification module 2430, configured to classify the user pain points according to a general value and an urgent value configured for the user pain points;

a competitive product screening module 2450, configured to obtain, for a competitive product of the specified product, a solution of the competitive product to a pain point of each user;

a grade division module 2470, configured to determine, according to the classification of the user pain points and the solution of the user pain points by the contest, a priority level for solving the user pain points;

a scenario determination module 2490, configured to generate a preliminary scenario for the specified product according to the priority level for solving the pain point of the user and the scenario rating for solving the pain point of the user.

The implementation processes of the functions and actions of the modules in the device are specifically described in the implementation processes of the corresponding steps in the product intelligent design method, and are not described herein again.

The data acquisition module 2410 may be, for example, one of the physical structure communication components 216 of fig. 2.

The pain point classification module 2430, the competitive product screening module 2450, the ranking module 2470, and the scenario determination module 2490 may also be functional modules for performing corresponding steps in the above method for product intelligent design. It is understood that these modules may be implemented in hardware, software, or a combination of both. When implemented in hardware, these modules may be implemented as one or more hardware modules, such as one or more application specific integrated circuits. When implemented in software, the modules may be implemented as one or more computer programs executing on one or more processors, such as the programs stored in memory 204 and executed by processor 218 of FIG. 2.

Optionally, the present invention further provides an electronic device, which can be used in the user device 110 in the implementation environment shown in fig. 1 to execute all or part of the steps of the method for intelligently designing the product shown in any one of fig. 3, fig. 5, fig. 8, fig. 11, fig. 13, and fig. 15. The device comprises:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to execute the method for intelligently designing the product in the method embodiment

The specific manner in which the processor of the electronic device performs operations in this embodiment has been described in detail in the embodiment of the method related to the intelligent design of the product, and will not be elaborated upon here.

In an exemplary embodiment, a storage medium is also provided that is a computer-readable storage medium, such as may be transitory and non-transitory computer-readable storage media, including instructions. The storage medium stores a computer program that is executable by the processor 218 of the apparatus 200 to perform the method of intelligent design of a product as described above.

It will be understood that the invention is not limited to the precise arrangements 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 invention is limited only by the appended claims.

Claims

1. A method for intelligent design of a product, comprising:

calculating an evaluation value of the solution corresponding to the pain point of the user according to the goodness of fit, the realizability, the realization cost and the realization period of the solution corresponding to the pain point of the user;

obtaining the pain level of the pain point of the user by multiplying the general value and the urgent value of the pain point of the user;

weighting and fusing the pain level of the pain point of the user and the evaluation value of the solution corresponding to the pain point of the user to obtain the scheme rating for solving the pain point of the user;

2. The method of claim 1, wherein classifying the user's pain site based on the configured prevalence and urgency values for the user's pain site comprises:

determining the median of the universal values of all the pain points of the user and the median of the urgent values of all the pain points of the user according to the universal values and the urgent values configured for the pain points of the user;

and dividing the pain points of the user with the common value larger than the median of the common values and the urgent value larger than the median of the urgent values into preferential solution pain points.

3. The method of claim 1, wherein determining a priority level for resolving the user's pain site based on the classification of the user's pain site and the resolution of the user's pain site by the contest comprises:

according to the classification of the pain points of the user, obtaining preferential solution pain points, mass pain points, individual pain points and reserve pain points;

and determining the priority level for solving the pain points of different users according to the solutions of the competitive products and the products supplied by the current enterprises to the prior solution pain points, the mass pain points, the individual pain points and the reserve pain points.

4. The method of claim 1, wherein generating the preliminary proposal for the given product in accordance with the priority rating for addressing the user's pain spots and the proposal rating for addressing the user's pain spots comprises:

screening out target pain points which are preferentially solved according to the priority level of solving the user pain points;

acquiring a payment intention for solving the target pain point;

and according to the scheme rating and the payment intention for solving the target pain point, developing a solution with the scheme rating and the payment intention both being larger than the intermediate value to obtain a preliminary scheme of the specified product.

5. The method of claim 1, further comprising:

acquiring sales data of products with different performances in the market, and constructing a market opportunity list;

searching a plurality of market opportunity points which are ranked first in market ratio and have rising ring ratio and same ratio from the market opportunity list to obtain target products corresponding to the market opportunity points;

and acquiring price, performance and capacity data corresponding to the target product.

6. The method of claim 5, further comprising:

7. An apparatus for intelligent design of a product, comprising:

the scheme determining module is used for calculating the evaluation value of the solution corresponding to the pain point of the user according to the goodness of fit, the realizability, the realization cost and the realization period of the solution corresponding to the pain point of the user;

the scheme determination module is further used for obtaining the pain level of the pain point of the user by multiplying the general value and the urgent value of the pain point of the user;

the scheme determining module is further used for weighting and fusing the pain level of the pain point of the user and the evaluation value of the solution corresponding to the pain point of the user to obtain the scheme rating of the solution of the pain point of the user;

and the scheme determining module is further used for generating a preliminary scheme of the specified product according to the priority level for solving the pain points of the user and the scheme rating for solving the pain points of the user.

8. An electronic device, characterized in that the electronic device comprises:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the method of product intelligent design of any of claims 1-6.

9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which is executable by a processor to perform a method of intelligently designing a product according to any one of claims 1 to 6.