Category Archives: 1. Contextanalysis

Step 1: How to Create Intelligent Information

Information products in 7 steps
Step 1: Contextanalysis

Step 2: Planning | Step 3: Concept development | Step 4: Content creation | Step 5: Media production
Step 6: Information delivery | Step 7: Observation of the information product


Intelligent Information is an information product. Before creating an information product, it is necessary to analyze the requirements which it must meet. Context analysis determines the underlying conditions and the requirements that are placed on an information product by its context.
Context analysis is a preparatory process phase. One distinctive feature is the fact that not only internal sources but mainly sources outside the company are evaluated. In doing so, overarching aspects such as legal and normative requirements, markets or target groups are investigated. Context analysis does not have to be performed for every documentation product but does need to be performed regularly at scheduled intervals or when modifications have been announced. The results of observing the information product are evaluated in the context analysis and their consequences for creating information products are deduced from these results. Context analysis and its results are interpreted specifically to the documentation, depending on the nature of the information product and the underlying conditions.

A context analysis examines
  • Legal requirements
  • Normative requirements
  • Target groups
  • Country-specific requirements
  • Products and technologies
  • Media and information technology
  • Results of observation of the information product

The results of the context analysis are fed into the concept for an information product and also into aspects such as media development, publication and distribution.

Related articles on contextanalysis

chatbots-and-technical-communication-and-user-assistance-a-primer

Artificial Intelligence and Chatbots in Technical Communication – A Primer

It seems likely that artificial intelligence (AI) and AI-driven chatbots will play a key role in helping users in the future. So what does this mean for technical communicators and for User Assistance? In this article Ellis Pratt gives an insight into:

  1. What are Chatbots?
  2. Making a Chatbot
  3. What Does This Mean for Technical Communicators and for User Assistance?

If you want to download this article free as PDF click here.

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What is Contextualization all About & Why is it so Important in Information 4.0?

Contextual help is a term that has been around for a long time, but until now it means little more than being able to deliver a block of information based on position to everyone, regardless of the task each is doing. While this is a laudable approach, it is far from the notion of contextualisation we would like to see emerge around Information 4.0.

About the meaning of contextualization in Information 4.0, content prediction and mapping knowledge & experience …

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digital transformation from cacoon to butterfly

How Can We Leverage Emerging Digital Technologies to Grow and Transform?

Big or small, organizations across all industries are undergoing transformation thanks to emerging Digital technologies across applications in Social Media, Mobile, Internet of Things, Cybersecurity, Analytics, Cloud Computing, and much more. This is the essence of Digital Transformation. Let’s examine the 4 growth levers in more detail.

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User Assistance: Resistance Is Futile, You Will Be Assimilated!

The things we were doing in past years (and continue to do!) were quite an evolution for the classic world of technical communication – adding more and more embedded information into the product, tightly involving user feedback to enhance UA, producing videos that users appreciate to consume information quickly. A few suggestions to think about…

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