Skin evaluation method based on questionnaire information automatic collection and analysis system

Abstract

The invention discloses a skin evaluation method based on a questionnaire information automatic collection and analysis system. The method comprises the steps that a background creates a first-level questionnaire, the background creates a second-level questionnaire, the questionnaire is published to the Internet, a volunteer account is generated, a volunteer performs skin evaluation and answers, answers are submitted to the Internet, background data processing is performed, and finally a skin evaluation result of a product is obtained. By adopting the skin evaluation method based on the questionnaire information automatic collection and analysis system, time-consuming and labor-consuming links of manual analysis, summarization, printing and the like can be reduced, an evaluation result canbe quickly obtained, quick feedback is obtained to meet market requirements, and products required by consumers are put into the market in a targeted mode; the product research and development direction is adjusted to meet the requirements of consumers; the skin evaluation method has the advantages of being convenient to use, accurate and high in representativeness and directivity.

Description

technical field [0001] The invention relates to the field of cosmetics, in particular to a skin evaluation method based on a questionnaire information automatic collection and analysis system. Background technique [0002] Cosmetics today is a fast-changing and fashion-conscious market segment. Different consumers have different usage preferences, especially the skin feel of the product. Therefore, in order to win the market, it is necessary to reflect consumer preferences in the development of cosmetics. Before the product is put on the market, how to accurately evaluate whether the product meets the preferences of the target customers? An effective solution is to distribute samples and questionnaires to volunteer groups by establishing a volunteer pool of potential consumers. After experiencing the samples, the participants fill in the questionnaires, collect the questionnaires, analyze the data, discover the rules, and finally generate a decision-making reference report...

AI Technical Summary

Problems solved by technology

However, the existing questionnaire survey methods use manual analysis, summary, and printing, which is time-consuming and laborious, and there are also problems of low data reliability.

For example, limited sample groups of beauticians carry out "small-scale professional evaluation" and there is a problem of insufficient sample representation; randomly donating products to regional markets, and conducting "large-scale open evaluation" has sample characteristics that are difficult to clarify, costs are high, and information is scattered messy question

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