15. A computer-implemented predictive modeling method comprising: determining an assessment of an ongoing conversation, wherein the assessment includes an output of a predictive model, wherein determining the assessment comprises applying a predictive model to first conversation data associated with the conversation, wherein the first conversation data include conversation metric data indicative of one or more values of one or more metrics for evaluating conversation quality, wherein the one or more metric values are determined based, at least in part, on communications of two or more participants in the conversation, wherein the metrics include a proportionality metric and/or a matching metric, wherein a value of the proportionality metric depends on proportions of communication contributed to the conversation by the two or more participants, wherein a value of the matching metric depends on an extent to which a communication rate of a first of the participants matches a communication rate of a second of the participants, wherein the predictive model is fitted to second conversation data associated with a plurality of conversations; and providing notification of the assessment of the ongoing conversation.
15. A computer-implemented predictive modeling method comprising: determining an assessment of an ongoing conversation, wherein the assessment includes an output of a predictive model, wherein determining the assessment comprises applying a predictive model to first conversation data associated with the conversation, wherein the first conversation data include conversation metric data indicative of one or more values of one or more metrics for evaluating conversation quality, wherein the one or more metric values are determined based, at least in part, on communications of two or more participants in the conversation, wherein the metrics include a proportionality metric and/or a matching metric, wherein a value of the proportionality metric depends on proportions of communication contributed to the conversation by the two or more participants, wherein a value of the matching metric depends on an extent to which a communication rate of a first of the participants matches a communication rate of a second of the participants, wherein the predictive model is fitted to second conversation data associated with a plurality of conversations; and providing notification of the assessment of the ongoing conversation. 27. The method of claim 15 , further comprising determining the conversation metric data indicative of the one or more values of the one or more metrics for evaluating conversation quality based, at least in part, on the communications of the two or more participants in the conversation.