Alex Masycheff is CEO of Intuillion Ltd. (http://intuillion.com/) that develops solutions for creating, managing, and delivering product content in scale.
He’s been in the content industry for 28+ years. He lead implementation of XML-based solutions in many companies, including Kodak, Siemens, Netgear, and EMC.
Alex believes that the key to leveraging the value of the product content is in combination of semantically rich structured content, automation, and artificial intelligence.
Content authors usually have a general understanding why measuring content quality is important. But then a lot of questions arise. What is content quality? How to measure it? How to interpret the results and turn them into action?
Looking at the number of times a certain article in your knowledge base or content portal was read may give you an idea of how popular it is. However, it won’t tell you much about how useful it is for your customers. And if many customers indicated that several topics were not helpful, how can you decide which of them should be fixed in the first place? Of course, you can rely purely on your intuition and experience to make decisions, but there’s a better way.
At this session, we are going to discuss how the science of content analytics can augment your intuition and help you make good decisions when planning and prioritizing your content work. We’ll talk about metrics that matter and how to use them for better content quality management.
