The two design considerations that should be made when creating a customer support site in Experience Builder that will be internationalized across 12 different countries are:

Countries may read text in a different direction (right to left vs. left to right) and layouts will need to be adjusted. This is because some languages, such as Arabic and Hebrew, are written from right to left, while others, such as English and French, are written from left to right. This affects not only the text alignment, but also the placement of UI elements, such as buttons, menus, icons, and images. To accommodate different reading directions, the site should use a flexible layout that can be mirrored or flipped based on the language setting.This also follows the principle of designing for accessibility and inclusion, which is one of the learning objectives for the Salesforce User Experience Designer certification12

Colors may have different cultural meanings in different countries, changing the intent of UI elements. This is because colors can convey different emotions, associations, and messages depending on the cultural context. For example, red can mean danger, passion, or luck, depending on the country. Therefore, the site should use colors that are appropriate and respectful for the target audience, and avoid colors that may be offensive or misleading.This also follows the principle of designing for the user's context and environment, which is another learning objective for the Salesforce User Experience Designer certification34

: https://trailhead.salesforce.com/en/content/learn/modules/ux-designer-certification-prep/design-for-accessibility-and-inclusion :1: https://trailhead.salesforce.com/en/content/learn/modules/ux-designer-certification-prep/design-for-the-users-context-and-environment :2: https://www.w3.org/International/questions/qa-scripts :3: https://www.shutterstock.com/blog/color-symbolism-and-meanings-around-the-world :4

Voice is the overall personality of the design, while tone is the way that personality is expressed. Voice represents the core characteristics of a design, such as the values, attitude, and emotions it conveys. Tone is how those characteristics are expressed in the design, suchas the language, visuals, and other elements. For example, a design with a friendly voice might be expressed through warm colors, friendly imagery, and casual language. Salesforce has some great resources on voice and tone such as [1] and [2].

[1]https://www.salesforce.com/blog/2017/11/voice-tone-brand-personality.html[2]https://www.salesforce.com/blog/2018/10/voice-tone-brand-personality-ux.html

Styling hooks are CSS custom properties that allow developers to customize the appearance of base and custom components in a consistent and supported way. They work with web components and shadow DOM, which provide encapsulation and modularity for LWC. Styling hooks use the--sldsnamespace and follow a naming convention that reflects the component, category, property, attribute, and state of the element being styled. For example,--slds-c-button-brand-color-background-hoveris a styling hook for the button component, brand category, color background property, and hover state. Styling hooks can be declared in the CSS file of the LWC or in a global CSS file that affects all components on the page. Styling hooks are not standard CSS properties, but custom ones that are defined by SLDS and applied to the components using thevar()function.Reference:

Styling Hooks - Lightning Design System

SLDS Styling Hooks | Lightning Web Components Developer Guide | Salesforce Developers

--dxp Styling Hooks | LWR Sites for Experience Cloud | Salesforce Developers

The Salesforce Lightning Design System (SLDS) styling hooks use standard CSS properties to easily style base and custom components. Salesforce documentation states that ''SLDS styling hooks are CSS classes that give you access to the same styling used in the Salesforce Lightning Design System. They make it easy to style base and custom components with the same look and feel'' [1].

[1]https://developer.salesforce.com/docs/component-library/documentation/lwc/lwc.use_slds_styling_hooks

Card sorting is a UX research method where participants group ideas or information into different categories, based on what feels natural to them. Card sorting is ideal for the early stages of a website project, when the UX designer needs to understand how users organize and label content. Card sorting can help the UX designer to suggest a suitable architecture for the internal community, based on the employees' mental model and expectations. Card sorting can also reveal any gaps or overlaps in the content, and provide insights for naming the categories and subcategories.Reference:Card Sorting / Tree Testing | Bentley University,Tree Testing vs. Card Sorting: Which is Right for You? | Maze

: A UX Designer should take the following steps to create and deliver responsible and transparent AI technology12:

C) Document model cards to clarify intended context and use cases.Model cards are standardized documents that provide essential information about a machine learning model, such as its purpose, performance, limitations, and ethical considerations3.Model cards can help UX Designers to communicate the design choices and trade-offs of their AI systems, and to ensure that they are aligned with the user needs and expectations4.

D) Provide clear explanations of AI predictions or recommendations.Explanations are user-facing descriptions of how and why an AI system produces a certain output, such as a prediction, a recommendation, or a decision5.Explanations can help UX Designers to increase the transparency and trustworthiness of their AI systems, and to empower users to understand, control, and evaluate the AI outcomes6.

C) Document model cards to clarify intended context and use cases.

Model cards are documents that describe the intended use, performance, and limitations of AI models. They help ensure that the AI technology is being used responsibly and transparently, as they provide clear information about the model's context, data, and assumptions. This can help reduce the risk of unintended consequences and build trust with users.

D) Provide clear explanations of AI predictions or recommendations.

Clear explanations of AI predictions or recommendations help build trust with users and increase understanding of how the AI technology works. By providing an understandable explanation of how a prediction or recommendation was made, users can gain a better understanding of the technology and how it is intended to be used. This can also help reduce the risk of unintended consequences and improve accountability.