Information provision device, method and program

Abstract

To provide an information provision device, method and program allowing users to visually acquire a degree of contribution of evaluation factors to customers' intention to contract or recommend to others.SOLUTION: An information provision device includes: survey data acquisition means for acquiring evaluation data including evaluation values of evaluation items for a target product or service, the evaluation data including evaluation values of a plurality of evaluation items relating to intention to contract or recommend to others; multivariate analysis means for performing multivariate analysis using the evaluation value of the intention to contract or recommend to the others as an objective variable and the evaluation values of the plurality of evaluation items in the evaluation data as a plurality of explanatory variables based on the evaluation data, to calculate a degree of contribution of the explanatory variables to the objective variable; analysis result output means for displaying an analysis result by the multivariate analysis means on an information terminal capable of communicating via a network; and correlation analysis means for calculating relevance between a plurality of explanatory variables.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information providing device, method, and program for providing information that contributes to a customer's intention to enter into a contract or to recommend the product to others. In this specification, "customer" includes potential customers, and "sales" includes field sales and inside sales. In this specification, the term "intention to enter into a contract" is used to mean a customer's intention to enter into a product before the product is introduced, and a customer's intention to continue using the product (or to renew the contract) after the product has been introduced. [Background technology]

[0002] Conventionally, the correlation between product or service attributes and sales performance has been analyzed by compiling survey results, and the analysis results have been reflected in the development of the product or service. Also, barriers to the purchase behavior of a customer for a product or service are analyzed. For example, Patent Document 1 proposes an information processing device including an expectation value acquisition means for acquiring an expectation value indicating the degree of a customer's intention or likelihood of purchasing a product or service, a related value acquisition means for acquiring a related value indicating a factor that influences the sales of the product or service, a sales value acquisition means for acquiring a sales value indicating the degree of sales of the product or service, and a coefficient calculation means for calculating an expectation value coefficient indicating the degree of influence of the intention or likelihood of purchasing on the sales of the product or service by operating an equation indicating that the sales value depends on the expectation value and the related value weighted by the expectation value coefficient. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2011-215673 A Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional methods, survey results or questionnaire results are simply tabulated and displayed, making it impossible to grasp the degree to which factors contribute to a customer's willingness to enter into a contract or recommend to others. In addition, there is a demand for a means of not only calculating the contribution of evaluation factors with high accuracy, but also displaying the contribution in an easy-to-understand manner.

[0005] An object of the present invention is to provide an information providing device, method, and program that enable a customer to visually grasp the contribution of evaluation factors to a customer's willingness to enter into a contract or willingness to recommend to others. [Means for solving the problem]

[0006] The inventor has invented an information providing device and program that makes it possible to easily identify effective measures for improving a customer's willingness to adopt or recommend a product to others by conducting factor analysis of evaluation elements that are expected to be effective in determining a customer's willingness to enter into a contract or recommend a product to others, and then collecting and statistically analyzing a statistically significant number of customer evaluations.

[0007] An information providing device according to a first aspect of the present invention can be configured to include: a survey data acquisition means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of multiple evaluation items related to an intention to enter into a contract or an intention to recommend to others; a multivariate analysis means for calculating the contribution of the explanatory variables to the objective variable by performing multivariate analysis based on the evaluation data using the evaluation value of the intention to enter into a contract or an intention to recommend to others as an objective variable and the evaluation values ​​of the multiple evaluation items in the evaluation data as multiple explanatory variables; an analysis result output means for displaying the analysis results by the multivariate analysis means on an information terminal capable of communicating via a network; and a correlation analysis means for calculating the association between the multiple explanatory variables. In the above information providing device, the analysis result output means may be configured to display the plurality of explanatory variables on the information terminal using a graphic having a size corresponding to the degree of contribution. An information provision device according to a second aspect of the present invention comprises: survey data acquisition means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of a plurality of evaluation items related to willingness to enter into a contract or willingness to recommend to others; multivariate analysis means for performing multivariate analysis based on the evaluation data using the evaluation value of willingness to enter into a contract or willingness to recommend to others as a dependent variable and the evaluation values ​​of the plurality of evaluation items in the evaluation data as a plurality of explanatory variables, thereby calculating the contribution of the explanatory variables to the dependent variable; and analysis result output means for displaying the analysis results by the multivariate analysis means on an information terminal capable of communicating via a network, wherein the analysis result output means displays the plurality of explanatory variables on the information terminal using a figure of a size corresponding to the contribution degree. In the above information providing device, the analysis result output means may be configured to display the objective variable and the plurality of explanatory variables connected by lines of different thicknesses and / or types according to the degree of contribution. In the above information providing device, the analysis result output means can be configured to display on the information terminal a line connecting pairs of explanatory variables, the line having a thickness and / or type corresponding to the strength of the association. The above-mentioned information providing device may further comprise a reference value setting means for setting a reference value for each of the plurality of explanatory variables, and the analysis result output means may display the explanatory variables in different colors according to their differences from the reference values. In the above information providing device, the standard value setting means may be configured to have a function of calculating an average value of the scores in the same or similar industry / business type calculated for each of the plurality of explanatory variables, and setting the average value as the standard value. In the above information providing device, the analysis result output means can be configured to color the explanatory variable in a first color when the explanatory variable is higher than the reference value, and to color the explanatory variable in a second color different from the first color when the explanatory variable is lower than the reference value. In the above information providing device, the analysis result output means may be configured to display the figures in a radial arrangement. In the above information providing device, the evaluation data can be configured to include level 1 evaluation items corresponding to the objective variable, level 2 evaluation items explaining the objective variable, and level 3 evaluation items explaining the level 2 evaluation items, and the multivariate analysis means can be configured to execute a first multivariate analysis in which the evaluation values ​​of the level 2 evaluation items are intermediate objective variables and the level 3 evaluation items are explanatory variables, and a second multivariate analysis in which the level 1 evaluation items are objective variables and the level 2 evaluation items are explanatory variables. In the above information providing device, the level 3 evaluation items may be evaluation items that are subordinate concepts to the level 2 evaluation items.

[0008] The information provision method of the present invention is characterized in that the following steps are executed by a computer: acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of multiple evaluation items related to an intention to enter into a contract or an intention to recommend to others; calculating an evaluation value of an intention to enter into a contract or an intention to recommend to others based on the evaluation data; performing a multivariate analysis using the evaluation value of the intention to enter into a contract or an intention to recommend to others as a dependent variable and the evaluation values ​​of the multiple evaluation items in the evaluation data as multiple explanatory variables to calculate the contribution of the explanatory variables to the dependent variable; an analysis result output step of displaying the analysis results in the multivariate analysis step on an information terminal capable of communicating via a network; and a correlation analysis step of calculating the correlation between the multiple explanatory variables. The program of the present invention is characterized in that it causes a computer to execute the following: means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of multiple evaluation items related to willingness to enter into a contract or willingness to recommend to others; means for calculating an evaluation value of willingness to enter into a contract or willingness to recommend to others based on the evaluation data; multivariate analysis means for calculating the contribution of the explanatory variables to the objective variable by performing multivariate analysis using the evaluation value of the intention to enter into a contract or willingness to recommend to others as an objective variable and the evaluation values ​​of the multiple evaluation items in the evaluation data as multiple explanatory variables; analysis result output means for displaying the analysis results by the multivariate analysis means on an information terminal capable of communicating via a network; and means for calculating the correlation between the multiple explanatory variables. Effect of the Invention

[0009] According to the present invention, it is possible to easily grasp the contribution of each evaluation factor to a customer's intention to enter into a contract or to recommend to others. [Brief description of the drawings]

[0010] [Figure 1] 1 is a configuration diagram of an information providing system according to a first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating functions of the information providing device according to the first embodiment. [Diagram 3] FIG. 2 is a diagram for explaining a question structure of a questionnaire related to the questionnaire survey of the first embodiment. [Figure 4] FIG. 2 is a diagram showing an example of a questionnaire related to the questionnaire survey of the first embodiment. [Diagram 5] FIG. 5 is a diagram showing the analysis results showing the contribution of each explanatory variable to "intention to introduce" in the survey results related to the questionnaire in FIG. 4. [Figure 6] FIG. 5 is a diagram showing correlation coefficients between the explanatory variables in FIG. 4. [Figure 7] FIG. 5 is a diagram in which the contribution degree of each explanatory variable in FIG. 4 and the correlation coefficient of each explanatory variable are graphically displayed in a radial manner by the analysis result output means according to the first embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] First Embodiment The information provision system 1 of the first embodiment performs multivariate analysis using the results of a questionnaire survey of customers who have received sales from a specific company, and displays evaluation factors that influence the customer's intention to enter into a contract or recommend to others as numerical values ​​or graphical figures, making it possible to easily understand them. The information provision system 1 of the first embodiment has the following configuration.

[0012] Fig. 1 is a configuration diagram of an information providing system according to this embodiment. As shown in Fig. 1, the information providing system 1 according to this embodiment is composed of an information providing device 10 functioning as a server, a management information terminal 20 functioning as a management client, an information terminal 30 used by a survey respondent, a survey data collection device 40, and the Internet 50. Note that, in the example shown in Fig. 1, one each of the information providing device 10, the management information terminal 20, and the survey data collection device 40 is illustrated, but this configuration is not limited thereto, and two or more of each may be used.

[0013] The information providing device 10 is, for example, a PC server, and has a calculation unit 11, a storage unit 12 that stores an analysis program 121, and a communication unit 13 that enables communication with the information terminal 30 and the survey data collection device 40.

[0014] The management information terminal 20 is an information terminal, for example a personal computer, for inputting data into the information providing device 10 and the survey data collection device 40 and for executing the analysis program 121 and the survey data collection program 141. By executing the analysis program 121 (described later) from the management information terminal 20, the user can output various analysis results (for example, FIGS. 5 to 7) on the display device of the management information terminal 20.

[0015] The information terminal 30 is an information terminal used by the survey respondents, and is used to input survey data into the database 122. In the example of Fig. 1, the information terminal 30 is a smartphone, but is not limited to this, and can be configured as any information terminal that runs a web browser, such as a personal computer or tablet.

[0016] The survey data collection device 40 is, for example, a PC server, and has a calculation unit 41, a storage unit 42 that stores a database 122 and an input program 123, and a communication unit 13 that enables communication with the information providing device 10 and the information terminal 30. The input program 123 includes a survey data input means that provides the database 122 with a web page that enables survey data to be input from the information terminal 30. In this embodiment, the survey data is acquired by inputting the data using a web browser on the information terminal 30 via the input program 123 in the form of answering a questionnaire, but it is also possible to process survey data collected by other means, such as paper media, and upload it from the management information terminal 20 to the database 122.

[0017] 2, the calculation unit 11 of the information providing device 10 executes the analysis program 121 stored in the storage unit 12 to realize (1) a survey data acquisition means, (2) a multivariate analysis means, and (3) an analysis result output means. Each of these means will be described below.

[0018] (1) Method of collecting survey data The survey data acquisition means is a means for storing survey data used in the multivariate analysis means in the storage unit 12. In this embodiment, a screen for inputting a query for acquiring survey data from the database 122 is provided to the management information terminal 20. The survey data in this embodiment consists of survey data from a questionnaire regarding customers' intention to introduce the product.

[0019] The questionnaire survey in this embodiment is a customer survey having predetermined evaluation items, and is composed of questions suitable for performing multivariate analysis. The questionnaire survey is conducted on multiple people (including those without the authority to enter into a contract) belonging to the company that received the sales of the target product.

[0020] FIG. 3 is a diagram for explaining the question structure of the questionnaire for the questionnaire survey of this embodiment. Level 1 evaluation items ask whether a sales pitch has generated an intention to enter into a contract, and are questions used to calculate the score of the objective variable in multiple regression analysis. Here, level 1 evaluation items may be targeted at companies before they have introduced the target product, or at companies after they have introduced the target product. In the former case, the intention to enter into a contract as a level 1 evaluation item means an intention to introduce the product, and in the latter case, it means an intention to continue the contract (intention to renew the contract). In addition, a level 1 evaluation item may be a question asking whether there is an intention to recommend the introduction of the target product to others (intention to recommend to others). Level 2 evaluation items are evaluation factors for level 1 evaluation items, and become explanatory variables when performing multiple regression analysis with level 1 evaluation items as dependent variables. For example, to evaluate the persuasiveness of the problem, a question is set asking whether the respondent feels that the essence of the problem of the company he or she belongs to has been (re)explained, and to evaluate the persuasiveness of the solution, a question is set asking whether the presented solution seems likely to fundamentally change the situation. Level 3 evaluation items are evaluation factors of level 2 evaluation items. Level 2 questions and level 3 questions are set to have a relationship of superordinate and subordinate concepts. In FIG. 3, questions surrounded by solid lines are, for example, multiple-choice (MA) answers for negative elements, and questions surrounded by dotted lines are, for example, multiple-choice (MA) answers for positive elements. Here, level 3 questions are not limited to the examples in FIG. 3, and can be a combination of questions for evaluating any negative and positive elements.

[0021] FIG. 4 is a diagram showing an example of a questionnaire for the questionnaire survey. At the beginning of the questionnaire, there is a statement explaining that the responses will be used for the purposes of sales activities and service improvement. Questions 2 and 3 are questions about customer attribute elements, and may be used when conducting analysis by customer segment. Here, the question format SA means that the answer is given by selecting only one option from the answer column.

[0022] The level 1 question (item number 4) asks about the intention to introduce the target product (intention to enter into a contract) and is evaluated on a multi-level scale. The product according to this embodiment is software for project management. Level 2 questions (items 5 to 10) are explanatory variables for level 1 questions, and all of them are multi-level rated. For example, the cost performance question asks whether the performance is commensurate with the price, and the fit question asks whether the respondent feels that the product is a good fit for their company. The sense of fit in this embodiment is a variable representing the preference structure of the respondent, such as the respondent's preference for the subject, a respondent's preference for option b over option a, or utility b being greater than utility a. By including the sense of fit that takes into account the respondent's preferences as an evaluation item, a function that enables output of the correlation between the sense of fit and clustered respondent attributes may be provided in the multivariate analysis means described below.

[0023] Level 3 questions (items 11 to 14) are questions that are evaluation factors for level 2 questions. In FIG. 4, the question format MA means that the answer is given by selecting one or more options from the answer column. It is preferable to set level 3 questions as questions that correspond to lower concepts of level 2 questions. For example, as a question about the persuasiveness of the action, the options may be things like the explanation is difficult to understand, there is a logical leap between the problem and the action, and there is a lack of examples, while as a question about the product, the options may be things like reliability, processing speed, and operability.

[0024] (2) Multivariate analysis methods The multivariate analysis means of this embodiment uses multiple regression analysis to analyze how each evaluation item affects the contract intention score. Here, regression analysis is a statistical method that clarifies the relationship between a numerical value indicating a result (objective variable) and a numerical value that is a factor (explanatory variable), and multiple regression analysis is a statistical method that quantifies the extent to which an explanatory variable influences a result when explaining an objective variable, and predicts the future. By quantifying the influence of explanatory variables using multiple regression analysis, it becomes easier to plan ways to improve services. It also makes it possible to predict future changes in the objective variable that will accompany expected changes in explanatory variables.

[0025] FIG. 5 is a diagram showing the analysis results showing the contribution of each explanatory variable to the objective variable in the survey data related to the questionnaire in FIG. 4. The objective variable in FIG. 5 is the intention to introduce (intention to introduce), and the explanatory variables are each question at level 2. In the example shown in FIG. 5, it can be seen that "product" has the highest contribution to the intention to introduce, followed by "satisfaction of the player". In addition, since the VIF of each explanatory variable is not a large value, it can be seen that there is no problem of multicollinearity. Here, VIF (Variance Inflation Factor) is an index for evaluating multicollinearity in multiple regression analysis. Multicollinearity means that there is a high correlation between explanatory variables, and if the VIF value is large, it is considered better to remove that variable from the analysis. In addition, in Figure 5, the coefficient of determination R 2 Since the coefficient of determination is .646, it can be seen that the analysis has sufficient explanatory power. 2 ) is an index that shows how closely the predicted values ​​of the dependent variables obtained by multiple regression analysis match the actual values ​​of the dependent variables. In general, the closer the coefficient of determination is to 1, the higher the explanatory power. Furthermore, the multivariate analysis means also has a function of calculating the difference between each explanatory variable and a standard score. In FIG. 5, the difference between each explanatory variable and the average score of all customers is calculated. By looking at this difference, it is possible to know whether the score of each evaluation item of the analyzed customer is lower or higher than that of all customers. Note that the average score of any selected group can be used as the standard score, and for example, the average score in the same industry may be used as the standard score.

[0026] Figure 6 is a diagram showing the number of correlations between the level 2 evaluation factors in Figure 5. For example, the correlation coefficient between the satisfaction of the action and the satisfaction of the task is .648, which shows that there is a high correlation between the two. Therefore, when the evaluation of one increases, the evaluation of the other also increases, and conversely, when the evaluation of one decreases, the evaluation of the other also decreases. In this way, by calculating the number of correlations between the level 2 evaluation factors, it becomes easier to consider the actions required to increase the intention to introduce the system.

[0027] (3) Analysis result output means The analysis result output means of this embodiment not only outputs the analysis results in a table format as shown in Figures 5 and 6, but also graphically displays the contribution of explanatory variables to the customer's intention to enter into a contract, allowing the customer to visually understand the contribution. FIG. 7 is a diagram in which the contribution of each explanatory variable to the introduction intention (intention to introduce) shown in FIG. 5 and the correlation coefficient of each explanatory variable are graphically displayed by the analysis result output means. Circles corresponding to each explanatory variable are arranged at the vertices of a regular hexagon located below the intention to enter into a contract. In FIG. 7, explanatory variables with high contribution to the intention to introduce are displayed as large circles, and explanatory variables with low contribution are displayed as small circles. In this embodiment, the size of the circle is proportional to the contribution, but when the contribution is below a certain level, it is drawn with a predetermined minimum radius so that it does not become smaller than the minimum radius. However, the size of the circle does not necessarily have to be proportional to the numerical value of the contribution, and it may be highlighted (for example, the top two explanatory variables may be displayed large by multiplying the numerical value of the contribution by a coefficient).

[0028] In FIG. 7, the diagonal lines indicate the first color, green, and the dots indicate the second color, red. In this embodiment, the greater the difference between the explanatory variable score and the reference score, the darker the color is drawn. In FIG. 7, "Convincing the task", "Product" and "Cost performance" are colored green, so it is possible to instantly see that they are higher than the reference score. In addition, the objective variable "Intention to contract" and the explanatory variables "Convincing the player", "Person in charge" and "Fit" are colored red, so it is possible to instantly see that they are lower than the reference score, and in particular, the score of "Fit" colored dark red is particularly low.

[0029] In addition, explanatory variables having a specific correlation coefficient are connected and displayed by a correlation display line. The correlation display line of this embodiment adopts a rule that a double line is displayed when the least significant digit is rounded off to 0.7 or more, a thick solid line is displayed when it is less than 0.7 to 0.6 or more, a solid line of normal thickness is displayed when it is less than 0.6 to 0.5 or more, and a thin dotted line is displayed when it is less than 0.5 to 0.4 or more, and less than 0.4 is not displayed. In this way, by graphically displaying the correlation coefficient of each explanatory variable with correlation display lines of different thicknesses and types, it is possible to visually easily grasp the correlation coefficient of each explanatory variable. For example, it is possible to easily grasp from the correlation display lines of different thicknesses and types that the satisfaction of the player has a particularly strong correlation with the satisfaction of the task, then a particularly strong correlation with the product, and then a relatively strong correlation with the person in charge.

[0030] In this way, the analysis result output means can provide insights for efficiently carrying out improvement efforts by graphically visualizing and providing the magnitude of the contribution of each evaluation factor to the contract intention score that changes with improvement efforts and the correlation of each explanatory variable. In this embodiment, the explanatory variables are represented by circles whose size is proportional to the contribution, but the figure showing the contribution is not limited to this and any figure can be used, for example, a polygon or an illustration of food or a character. In addition, the arrangement order of the figures showing the explanatory variables may be changed by a drag operation.

[0031] As described above, according to the information provision system 1 of this embodiment, by performing multivariate analysis of the objective variable and the explanatory variables (evaluation factors), it is possible to appropriately and easily grasp the factors that influenced the intention to introduce the product. In addition, by providing a graphical visualization of the analysis results obtained through multivariate analysis, it is possible to instantly grasp the target variables in order to efficiently implement improvement efforts. In addition, by providing a graphical visualization of explanatory variables with high correlation coefficients, it becomes possible to easily predict the impact of improving the explanatory variables.

[0032] Although the preferred embodiment of the present invention has been described above, the technical scope of the present invention is not limited to the description of the above embodiment. Various modifications and improvements can be made to the above embodiment, and such modifications and improvements are also included in the technical scope of the present invention.

[0033] For example, in the above-described embodiment, a configuration was exemplified in which multiple regression analysis, a type of multivariate analysis, was used to determine the contribution of each evaluation factor to the contract intention score, but this configuration is not limited to this, and principal component analysis, factor analysis, correspondence analysis, multidimensional scaling, cluster analysis, path analysis, analysis of variance, conjoint analysis, regression analysis, logistics regression analysis, etc. may also be used. In addition to the above-described embodiment, the information providing device 10 can also be configured to collect condition information such as customer segments, usage scenes (daily use, anniversary use, etc.), seasons, and weather, and to analyze evaluation factors that contribute to the intention to enter into a contract or to recommend to others, taking into account such condition information. Also, by adding graphic attributes and psychographic attributes to the questionnaire, analysis by customer segment is possible. Also, by linking with a system that manages POS (Point of Sales) and purchase history, it is possible to grasp evaluation trends by ordered product.

[0034] In the above embodiment, an example was described in which the explanatory power of the influence (contribution) of the evaluation factor on the willingness to enter into a contract or the willingness to recommend to others was enhanced by performing only multivariate analysis using the level 1 evaluation factor as the objective variable and the level 2 evaluation factor as the explanatory variable, but the technical idea of ​​the present invention is also applicable to multivariate analysis using hierarchical evaluation factors. For example, a multivariate analysis means may be constructed that performs (a) multiple regression analysis of the level 2 evaluation factor and the level 3 evaluation factor, (b) correlation analysis of the level 2 evaluation factor and the level 3 evaluation factor, (c) multiple regression analysis of the level 1 evaluation factor and the level 2 evaluation factor, and (d) correlation analysis between the level 2 evaluation factors. Such multivariate analysis is useful because it may be possible to grasp the dominant evaluation factor even when it is not possible to accurately grasp which evaluation factor is dominant using only non-hierarchical multivariate analysis.

[0035] In the above-described embodiment, an example was described in which survey data targeting computer software was used; however, the present invention can also be applied to industries that handle other goods or services, such as the accommodation industry, food and beverage service industry, entertainment industry, lifestyle-related service industries such as hairdressing and beauty salons and public baths, education and skills teaching industry, finance industry, insurance industry, retail industry, information and communications industry, goods rental industry, professional service industries (professional services, etc.), advertising industry, real estate industry, and transportation industry. [Explanation of symbols]

[0036] 1. Information provision system 10...Information providing device 20...Administrative information terminal 30…Information terminal 40...Survey data collection device 50…Internet

Claims

1. A survey data acquisition means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of a plurality of evaluation items related to a willingness to enter into a contract or a willingness to recommend to others; a multivariate analysis means for performing a multivariate analysis using an evaluation value of a willingness to enter into a contract or a willingness to recommend to others based on the evaluation data as a response variable and using evaluation values ​​of a plurality of evaluation items in the evaluation data as a plurality of explanatory variables to calculate a contribution of the explanatory variables to the response variable; an analysis result output means for displaying the analysis result by the multivariate analysis means on an information terminal capable of communicating via a network; and a correlation analysis means for calculating the association between the plurality of explanatory variables.

2. 2. The information providing device according to claim 1, wherein said analysis result output means causes said plurality of explanatory variables to be displayed on said information terminal in the form of a graphic having a size corresponding to said contribution degree.

3. A survey data acquisition means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of a plurality of evaluation items related to a willingness to enter into a contract or a willingness to recommend to others; a multivariate analysis means for performing a multivariate analysis using an evaluation value of a willingness to enter into a contract or a willingness to recommend to others based on the evaluation data as a response variable and using evaluation values ​​of a plurality of evaluation items in the evaluation data as a plurality of explanatory variables to calculate a contribution of the explanatory variables to the response variable; and an analysis result output means for displaying the analysis result by the multivariate analysis means on an information terminal capable of communicating via a network, The information providing device, wherein the analysis result output means displays the plurality of explanatory variables on the information terminal in the form of a graphic having a size corresponding to the degree of contribution.

4. 4. The information providing device according to claim 2 or 3, wherein the analysis result output means displays the objective variable and the plurality of explanatory variables connected by lines of different thicknesses and / or types according to the degree of contribution.

5. The information providing device according to claim 2 or 3, characterized in that the analysis result output means displays on the information terminal a line connecting pairs of explanatory variables, the line having a thickness and / or a type corresponding to the strength of the association.

6. Further, a reference value setting means for setting a reference value for each of the plurality of explanatory variables is provided, 4. The information providing apparatus according to claim 2, wherein the analysis result output means displays the explanatory variables in different colors according to the differences from the reference values.

7. The information providing device according to claim 6, characterized in that the standard value setting means has a function of calculating an average value of the scores calculated for each of the multiple explanatory variables in the same or similar industry or business type, and setting the average value as the standard value.

8. 7. The information providing device according to claim 6, characterized in that the analysis result output means colors the explanatory variable in a first color when the explanatory variable has a value higher than the reference value, and colors the explanatory variable in a second color different from the first color when the explanatory variable has a value lower than the reference value.

9. 4. The information providing device according to claim 2, wherein the analysis result output means displays the figures in a radial arrangement.

10. the evaluation data includes level 1 evaluation items corresponding to the objective variable, level 2 evaluation items explaining the objective variable, and level 3 evaluation items explaining the level 2 evaluation items, 4. The information providing device according to claim 1, wherein the multivariate analysis means executes a first multivariate analysis in which the evaluation values ​​of the level 2 evaluation items are used as intermediate objective variables and the level 3 evaluation items are used as explanatory variables, and a second multivariate analysis in which the level 1 evaluation items are used as objective variables and the level 2 evaluation items are used as explanatory variables.

11. The information providing device according to claim 10 , wherein the level 3 evaluation item is a subordinate concept evaluation item of the level 2 evaluation item.

12. Acquiring evaluation data including evaluation values ​​for evaluation items regarding the target product or service, the evaluation data including evaluation values ​​for a plurality of evaluation items related to the intention to enter into a contract or the intention to recommend to others; A step of calculating an evaluation value of a willingness to enter into a contract or a willingness to recommend to others based on the evaluation data; a multivariate analysis step of calculating the contribution of the explanatory variables to the objective variable by performing a multivariate analysis using the evaluation value of the willingness to enter into a contract or the willingness to recommend to others as an objective variable and the evaluation values ​​of the plurality of evaluation items in the evaluation data as a plurality of explanatory variables; an analysis result output step of displaying the analysis result in the multivariate analysis step on an information terminal capable of communicating via a network; and The information providing method includes a correlation analysis step of calculating the association between the plurality of explanatory variables, the correlation analysis step being carried out by a computer.

13. On the computer, A means for acquiring evaluation data including evaluation values ​​of evaluation items for a target product or service, the evaluation data including evaluation values ​​of a plurality of evaluation items related to a willingness to enter into a contract or a willingness to recommend to others; A means for calculating an evaluation value of a willingness to enter into a contract or a willingness to recommend to others based on the evaluation data; a multivariate analysis means for performing a multivariate analysis using the evaluation value of the willingness to enter into a contract or the willingness to recommend to others as a response variable and the evaluation values ​​of a plurality of evaluation items in the evaluation data as a plurality of explanatory variables, thereby calculating the contribution of the explanatory variables to the response variable; an analysis result output means for displaying the analysis result by the multivariate analysis means on an information terminal capable of communicating via a network; A program for executing a means for calculating the association between the plurality of explanatory variables.

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