In product applications, the target users to be presented by the modular page form and content are not single, but will change with different user attributes. As an interaction designer's daily project, the same product in the same product Modules, there are not a few demand scenarios designed for multiple types of users. Compared with projects with a single user role, this type of demand scenario needs to understand the needs and benefits of each user role from more dimensions, so as to provide differentiation & collaboration under different user roles and different permission conditions products and services.
To sum up, the multi-authority scenarios often encountered in daily projects can be mainly divided into the following types:
A large number of permissions: "Thousands of people and thousands of faces", using big data to carry out personalized design and presentation of pages;
Dual permissions (three permissions): The module platform connects two types of interacting user objects, which are common in O2O and other application scenarios;
Multi-authority: Linear information flow, common in the business information flow of the To B side.
1. A large number of user rights: "Thousands of people and thousands of faces", using big data to carry out personalized design and presentation of pages
The most common application scenario of this kind is the homepage of large-scale e-commerce products, with a large number of product SKUs and user UVs, and user attributes vary widely. User needs and product recommendations have played an important role in "thousands of people" in the segmentation of users' extreme permissions.
In the early stage, starting from the user's b2b data own behavior data, how to obtain personalized permissions on the user side, and then the system recommends personalized page operation strategies. The basic design process is as follows: The acquisition of such user permissions is formed based on the user's multi-dimensional attribute tags. specific identity roles.
In the context of big data, the infinite segmentation of user permissions will challenge the workload of product design and development. In the downstream of the "Thousand People, Thousands of Faces" user segmentation, personalized design and presentation tools such as "Luban" have been derived. Based on massive data, users' permissions can be subdivided to an astonishing degree. It is a blowout increase in the workload of personalized design. Efficient AI design tools meet the needs of the explosive growth of design workload brought about by the infinite segmentation of user permissions. In 2016, Luban served Double 11 for the first time and produced 170 million commodity banners. In 2017, there were 400 million artificial intelligence posters designed by AI on Double 11. If it is all done by designers, assuming that each drawing takes 20 minutes, it will take 100 designers to do it continuously for 300 years. Such efficient AI design tools create the possibility for infinite segmentation of user permissions (roles).
2. Dual permissions: The module platform connects two types of interacting user objects, which are common in O2O and other application scenarios
This type of user permission is based on the user's role in the product service. In some product scenarios, there may be three permissions, but dual permissions are still applicable in most cases.