Virtual coaching platform
Abstract
Some embodiments of a virtual coaching platform can analyze user and coach characteristics to determine suggested coaching partnerships. Some virtual coaching platform embodiments can implement whole-person dimensionalities used to track progress and provide coaching resources and guidance. In some implementations, the virtual coaching platform can provide six whole-person dimensions including: centered, aware, agile, includes, elevates, and drives. Some virtual coaching platform embodiments can select a subset of the dimensionalities to update using determined associations between a user and the dimensionalities. Some virtual coaching platform embodiments can implement a motivational matrix to assess a user in a readiness versus clarity domain and provide coaching suggestions based on a corresponding type.
Claims
exact text as granted — not AI-modifiedI/We claim:
1 . A system implementing a virtual coaching platform, the system comprising:
one or more processors; an interface that obtains dimensionality metrics in relation to a user, wherein each dimensionality metric has an association to at least one dimensionality of at least part of a user skills model, wherein the user skills model comprises dimensionalities made up of multiple dimensions and multiple sub-dimensions; and a memory storing virtual coaching platform items, the virtual platform items including videos, exercises, recordings, and reading materials, the memory further storing measures of user interaction with virtual platform items, and the memory further storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
for each selected sub-dimension, of two or more sub-dimensions of the at least part of the user skills model:
combining the obtained metrics associated with the selected sub-dimension into a user score for the selected sub-dimension; and
computing a comparison value for the selected sub-dimension by comparing the user score for the selected sub-dimension with a base score for the selected sub-dimension;
for each selected dimension, of two or more dimensions of the at least part of the user skills model:
combining the user scores for the sub-dimensions corresponding to the selected dimension into a user score for the selected dimension; and
computing a comparison value for the selected dimension by comparing the user score for the selected dimension with a base score for the selected dimension;
automatically computing a type of the user based on comparison values for dimensions and sub-dimensions; and
selecting one or more coaching suggestions customized to the user based on the computed type of the user.Join the waitlist — get patent alerts
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