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System and Method of dynamic prioritization of electronic communication based upon scheduling and availability data
Productivity has continuously improved over the past 20 years for white-collar jobs. One unit of measurement for this increased efficiency is the volume of email that
workers are able to process (i.e. filter, understand, and respond) in a timely manner.
Although workers can be efficient at determining the importance of specific pieces of communication based upon a myriad of internal strategies (e.g., prioritization level assigned by the sender, relationship to the sender, subject line, etc.), often the high volume of mail is prohibitive of optimizing a prioritization strategy.
Email prioritization strategies, such as listing emails by date and time, implementing a new graphical user interface (GUI), or using collaboration software, are insufficient. None of these prioritization schemes considers user work schedules and availability.
In addition, most email management systems prioritize based upon two factors: Severity/Urgency (assigned by the sender) and Recency. There is some prior art regarding organization hierarchy review for prioritization of email, bot-driven email, and machine reading of embedded data. However, by default, most systems do not take into account frequency of communication with the sender, the role of the sender (as it relates to your organization), automated communication, or pulling embedded target dates from within the communication.
The novel contribution described is a weighted, dynamic, and automatic prioritization system that ranks existing and incoming communications to optimize workflow. The system incorporates an efficient strategy by examining a subset of focus areas locally, on the user's machine, and reorienting the display of pending messages. In this way, the system augments existing collaboration software to go beyond the factors of organization relationships, documented severity, frequency...
