Dawn Stevens is the President, and owner of Comtech Services and the Director of the Center for Information-Development Management. With over 25 years of experience, including 15 years at Comtech, Dawn has practical experience in virtually every role within a documentation and training department, including project management, instructional design, writing, editing, and multimedia programming. With both engineering and technical communication degrees, Dawn combines a solid technical foundation with strong writing and design skills to identify and remove the challenges her clients face in producing usable, technical information and training.
Stand Out from the Crowd
With the plethora of content available to users today, it’s often a wonder that they are able to find any relevant information to their queries. In fact, it’s the most common complaint Comtech hears when conducting user studies for our clients: “I can’t find what I’m looking for in a reasonable amount of time.” What can we as technical writers do to address that complaint? We hear a lot about taxonomies and metadata and their potential influence in making our content more findable. However, Google uses over 200 ranking factors in its search algorithm that go well beyond this basic categorization. Surprisingly, a significant number of these ranking factors fall clearly within the realm of a technical writer’s responsibilities. In this rapid fire session, Dawn presents dozens of proven and speculative factors that you as a technical writer can address to make your content stand out from the crowd and rise to the top of search results.
In this session, attendees will learn:
“- Proven and speculative factors within Google’s search engine ranking algorithm that fall in the realm of their influence as writers
– Tips for writing and structuring content to improve their content’s ranking in search results
– How to write “”snippet bait””
– How to improve click-through rates
– The importance of “”long-tail”” keywords
– When keyword density matters (TF*IDF)
– The value of latent semantic indexing”