We analyze your instructions with regard to fundamental quality characteristics and/or specific requirements, such as:

• Comprehensibility in structure, text, and image
• Minimalism and conciseness (brevity)
• Conformity with legal requirements and standards
• Use of media
• Degree of standardization and economic efficiency

The results of our analysis show you the important and urgent areas for action. With our recommendations, you have the tools you need to leverage the potential in your documents.

Analyzing target groups: context of use analysis

If you don't know the audience for your information, you can't make informed decisions:

• How detailed does the information need to be?
• To what extent can information be provided online?
• Where can text be reduced in favor of images or videos?

A context of use analysis systematically collects existing knowledge about the target groups and their characteristics. Based on that, the specific characteristics of the target groups can be analyzed, for example via surveys and on-site monitoring.

Create information and media concepts

The efficient development of aftersales information requires suitable concepts that consider the information landscape holistically:

• Decide on media preparation forms: Print, online as HTML, PDF for download, instructional videos, or interactive content in an augmented reality app.
• Decide on delivery channels, for example, video platforms, content delivery portals, or print on demand
• Determine appropriate criteria for distributing information among information products and distinguishing information products from one another

Standardize information

With standardization, recurring editorial questions can be decided centrally and comprehensively, and uniform solutions can be provided for specific questions. In this way, because of standardization, the daily work of editorial teams is easier and they can produce information at a consistent level of quality.

With the function design^® standardization method, we develop rules that can be applied efficiently. In a style guide, these rules can be merged with the existing tool environment or a new one. Where necessary, we take existing data models such as DITA or PI-Mod into account

Making information intelligent

Intelligent information includes for example, metadata, which enables automations, including:

• Automatic compilation of product-specific or target group-specific information
• Provision of information that automatically adapts to the delivery channel, such as apps or display texts
• Automatic provision of context information for the smallest amounts of information

Such functions require a modularization and metadata concept that provides not only keywords to classify information, but also the relationships, dependencies, and hierarchies among these keywords.

We take over the following tasks for you:

• Editing
• Maintenance and improvement of your editorial guide
• Usability test