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Knowledge workers are increasingly frustrated by information and app overload at work.  According to a new independent survey released today by, information and app overload hurts overall productivity and morale as it prevents workers from focusing on the most important work tasks at hand. Learn more at our upcoming webinar on October 3

The survey, “The False Promise of the App Economy,” which queried over 900 business professionals worldwide regarding their usage of apps in the workplace, discovered that workers are overwhelmed with managing too many apps and aggravated by the confusion that occurs when forced to switch between multiple apps just to get basic work done.

Some key findings include the following:

  • 43% of respondents believe they spend too much time toggling between multiple apps rather than getting basic work done
  • 35% stated they dislike switching between apps just to find simple information
  • 67% believe that they could be more productive if important information from all of their apps appeared in a single window
  • 74% currently have more than five apps open at once, while 16 percent have fifteen or more apps open simultaneously
  • The average number of apps used by respondents is 9.4


Fortune Magazine wrote about the survey findings:

At, we believe that we must make it easier and faster for people to get the information they need to get their jobs done.  That’s why it is important to deliver information the way the human brain works – making technology work the way people think, instead of the other way around.  With topic computing, we have found a way to reduce the cognitive burden on workers as they try to process and manage information spread across a vast network of apps.

Industry analysts concur with our approach. Alan Lepofsky, vice president and principal analyst of Constellation Research, believes that topic computing is an excellent approach to help combat information and application overload. “Topic computing ushers in a pragmatic approach to artificial intelligence in the workplace. By observing a person’s current focus, such as viewing an email message or editing a document, it can establish the context for what is important, specifically related to the current task. This occurs by first employing natural language processing (NLP) to extract interesting topics from the content, then matching those topics across notifications from all the worker’s other enterprise applications. Then by using machine learning, it is able to surface similar content (and people) from across multiple applications, enabling workers to get a more complete picture of everything related to that topic, resulting in better informed decisions and more focused actions.”

To learn more about the survey and to understand how Collage helps workers focus on topics, sign up now for our webinar on October 3.


David Lavenda
Chief Product Officer