Abstract: The present disclosure uses statistical analysis and an artificial intelligence (AI) algorithm to help identify a plurality of targets for emphasis. An emphasis is a real-world activity that is designed to lead to a desired behavior by a target. A user interface is presented that allows for a selection of targets in a manner that improves the health of weak strategies and indicators as predicted by the AI algorithm instead of focusing on a single overall metric for all targets being analyzed. One embodiment has a user interface that provide a plurality of graphical units, with each graphical unit containing information about a particular indicator. Data that reflects indicator values over multiple time segments is shown within the graphical units, while the periphery of the graphical unit is color coded based on a trend for the indicator.

Abstract: The present disclosure uses statistical analysis and an artificial intelligence (AI) algorithm to identify a plurality of targets for emphasis. An emphasis is a real-world activity that is designed to lead to a desired behavior by a target. The targets are assigned to strategies based on attributes associated with the targets. Strategies define different portions of a life cycle associated with the targets. Each strategy is rated according to its health, which is defined according to primary indicators for that strategy. Emphasis is placed on targets in an attempt to improve the primary indicators for a strategy. A user interface allows for selection of targets in a manner that improves the health of weak strategies and indicators as predicted by the AI algorithm instead of focusing on a single overall metric for all targets being analyzed.

Abstract: The present disclosure uses statistical analysis and an artificial intelligence (AI) algorithm to help identify a plurality of targets for emphasis. An emphasis is a real-world activity that is designed to lead to a desired behavior by a target. A user interface is presented that allows for a selection of targets in a manner that improves the health of weak strategies and indicators as predicted by the AI algorithm instead of focusing on a single overall metric for all targets being analyzed. A separate user interface provides at least two arcs that are each associated with separate types of statistical analysis (or indicators), where intersecting lines are associated with a subset of targets. At the intersections are graphical units that are color coded based on the trend of those indicators over time.

Abstract: A system and method are presented showing an improved computer user interface and a method for constructing that interface.