Test method and device, electronic equipment and storage medium

Abstract

The invention discloses a test method and device, electronic equipment and a storage medium, and the method comprises the steps: generating at least two test buckets, distributing a user sample into the at least two test buckets, and obtaining at least two target buckets; and constructing at least two test layers, and distributing all the target buckets to each test layer. At least two test schemes preset for each test layer are obtained, the at least two test schemes are configured to target buckets of the test layers, and scheme configuration rules of the target buckets in different test layers are different. And testing according to all the test layers to obtain a target test result corresponding to the user sample. Visibly, the target test result generated in the application not only contains the overall test scheme applied by the user sample in the plurality of test layers, but also tracks the test feedback of the user sample on the overall test scheme, so that the systematic influence of the overall test scheme on the user behavior can be conveniently and synchronously observed, the test feedback monitoring is carried out by taking the user as a unit, and the user experience is improved. And the comprehensiveness of test analysis is improved.

Description

technical field [0001] The invention relates to the technical field of testing, in particular to a testing method and device, electronic equipment, and a storage medium. Background technique [0002] AB testing refers to making at least two versions of a product (such as a Web or App interface), and at the same time dimension, let visitor groups with similar composition randomly visit these versions, and collect feedback data from each group, so as to The data is analyzed and evaluated to produce a formally adopted version of the product. In the current AB testing method, it is usually only possible to independently observe the feedback data of the visitor group on a single test indicator (such as the click-through rate or the number of visiting users, etc.), and cannot effectively analyze the overall feedback of each user on the use of the product, thus reducing the The comprehensiveness of the test analysis. Contents of the invention [0003] The present application pr...

AI Technical Summary

Problems solved by technology

In the current AB testing method, it is usually only possible to independently observe the feedback data of visitor groups on a single test indicator (such as the click-through rate or the number of visiting users, etc.), and cannot effectively analyze the overall feedback of each user on the use of the product, thus reducing the Comprehensiveness of test analysis

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