Category Archives: 3. Concept development

Step 3: How to Create Intelligent Information

Information products in 7 steps
Step 3: Concept development

<< Step 1: Contextanalysis | Step 2: Planning
>> Step 4: Content creation | Step 5: Media production | Step 6: Information delivery
Step 7: Observation of the information product

Concepts that overarch several information products are defined during the process phase of concept development. These include, for instance, which information products are produced with which functions and which information architecture. A concept is intended to ensure the consistency and uniform quality of information products. This is especially important if several people are involved in creating information products.

Concepts must be reviewed routinely at appropriate intervals. A review is also required in case of special events such as, e.g., launching new products, new variants or new media. Concepts have a direct impact on content creation and on subsequent process phases.


Related articles on concept development

Can Documentation be Agile? A Field Report

Marion Knebel

In software development, the keyword agile is at least as popular as DITA in technical writing. This is no surprise. Both agile and DITA focus on modularization and the requirements of the users. In this article, we discuss how agile documentation works in practice, recommend tools that support the agile processes and point out the challenges for technical writers.

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context engine stephan sigg intelligent information

Context Prediction is The Key For Conversational Chatbots

Andy McDonald 

At the Information Energy Day at tcworld in Suttgart, the level of exchanges between attendees and speakers demonstrates that chatbots are indeed the technology that a lot of companies are trying to embrace. It also confirmed that professionals from the techcomm world have a key role to play alongside the technologists putting them together.

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Artificial Intelligence and Chatbots in Technical Communication – A Primer

Ellis Pratt

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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