Product innovation method based on internet big data

Abstract

The invention discloses a product innovation method based on internet big data. The product innovation method comprises the steps of innovation demand starting, market present situation analysis, consumer demand analysis and determination of the product innovation feasible degree. Market opportunity points are acquired by analyzing the market present situation, then the consumer pain points and unmet demands are mined by analyzing the consumer demands, and then the binding point between the market opportunity points and the consumer demands is searched by further combining the two analysis results so as to find the direction of innovation. According to the method, the massive internet data are comprehensively analyzed and utilized so that the public demands can be better met, the direction of product innovation is enabled to have market value, the resource cost is greatly saved, and enterprise policymakers are assisted to quickly find the innovation opportunity points and verify the concept of innovation.

Description

technical field [0001] The invention belongs to the field of product innovation research, and is an innovative research solution based on Internet big data. Background technique [0002] There are a lot of new products on the market every day, and companies are investing huge resources to produce new products all the time to meet the growing and sophisticated needs of consumers. Once an enterprise gives up or delays the pace of launching new products, it will soon be surpassed by competitors, and then eliminated by consumers and the market. However, the launch of new products is highly uncertain. When innovating, companies often launch several new products based on past experience or even cast a wide net, hoping that one of them will be successful. Therefore, enterprises often need to pay high costs and face huge risks when innovating. [0003] Existing innovative research is often carried out in the form of offline surveys and interviews, but this method will face the fol...

AI Technical Summary

Problems solved by technology

[0004] ①High cost: Traditional research methods often use offline questionnaires and interviews

In addition, additional incentives are required for the tested personnel, so this method will bring extremely high costs

[0005] ② Not objective enough: When using offline research methods, the respondents are often in an unnatural environment, and when the investigators set interview questions and questionnaire questions, they tend to exert influence on the respondents unconsciously, affecting the final results. objectivity of results

[0006] ③Limitation of thinking: When setting research questions, researchers often set them based on the problems they have seen so far, and at the same time combine their own experience.

Therefore, the result of the investigation can only be to test the problems that have been thought of or have been revealed, and the real crux is still hidden in the depths.

[0007] ④ Weak representativeness: As mentioned above, due to the high cost of offline research, researchers will limit a certain number of samples, resulting in insufficient sample coverage and richness; at the same time, due to the lack of Processing and analysis capabilities, traditional research methods can only be overwhelmed in the face of massive Internet data

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