CALIBRATING EVALUATOR FEEDBACK RELATING TO AGENT-CUSTOMER INTERACTION(S) BASED ON CORRESPONDING CUSTOMER FEEDBACK
Apparatus, systems, and methods for calibrating evaluator feedback relating to agent-customer interaction(s) based on corresponding customer feedback. An agent evaluation form is generated based on customer feedback provided via a customer questionnaire. By comparing evaluator feedback received via completion of the agent evaluation form by one or more user-selected evaluators to the customer feedback provided via the customer questionnaire, a customer feedback variance score is calculated for the one or more user-selected evaluators.
1 . An apparatus for calibrating evaluator feedback relating to one or more agent-customer interactions based on corresponding customer feedback, which comprises one or more non-transitory computer readable media and a plurality of instructions stored on the one or more non-transitory computer readable media and executable by one or more processors to implement operations comprising:
querying one or more databases for:
one or more agent-customer interactions satisfying one or more user-selected filter criteria; and
a customer questionnaire associated with an interaction from the queried one or more agent-customer interactions;
generating an agent evaluation form based on customer feedback provided via the customer questionnaire;
communicating, to one or more user-selected evaluators, the generated agent evaluation form and one or more media streams of the interaction;
visualizing, audibilizing, or both, via one or more output devices each accessible by at least one of the one or more user-selected evaluators:
the one or more media streams of the interaction; and
the generated agent evaluation form; and
calculating a customer feedback variance score, for the one or more user-selected evaluators, by comparing:
evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the customer questionnaire.
2 . The apparatus of claim 1 , wherein the operations further comprise visualizing, audibilizing, or both, via the one or more output devices, the calculated customer feedback variance score.
3 . The apparatus of claim 1 , wherein the one or more user-selected filter criteria comprise channel type, duration of interaction, customer scoring of interaction, customer sentiment during interaction, or any combination thereof.
4 . The apparatus of claim 1 , wherein the operations further comprise querying the one or more databases for one or more additional customer questionnaires associated with one or more additional interactions from the queried one or more customer-agent interactions.
5 . The apparatus of claim 4 , wherein generating the agent evaluation form is further based on customer feedback provided via the one or more additional customer questionnaires.
6 . The apparatus of claim 5 , wherein the operations further comprise:
communicating to the one or more user-selected evaluators, one or more additional media streams of the one or more additional interactions; and
visualizing, audibilizing, or both, via the one or more output devices, the one or more additional media streams.
7 . The apparatus of claim 6 , wherein the customer feedback variance score is calculated, for the one or more user-selected evaluators, by further comparing:
the evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the one or more additional customer questionnaires.
8 . A system for calibrating evaluator feedback relating to one or more agent-customer interactions based on corresponding customer feedback, which comprises:
one or more databases;
one or more computing devices adapted to:
query the one or more databases for:
one or more agent-customer interactions satisfying one or more user-selected filter criteria; and
a customer questionnaire associated with an interaction from the queried one or more agent-customer interactions;
generate an agent evaluation form based on customer feedback provided via the customer questionnaire;
communicate, to one or more user-selected evaluators, the generated agent evaluation form and one or more media streams of the interaction; and
calculate a customer feedback variance score for the one or more user-selected evaluators by comparing:
evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the customer questionnaire;
and
one or more output devices each accessible by at least one of the one or more user-selected evaluators, and adapted to visualize, audibilize, or both:
the one or more media streams of the interaction; and
the generated agent evaluation score.
9 . The system of claim 8 , wherein the one or more output devices are further adapted to visualize, audibilize, or both, the calculated customer feedback variance score.
10 . The system of claim 8 , wherein the one or more user-selected filter criteria comprise channel type, duration of interaction, customer scoring of interaction, customer sentiment during interaction, or any combination thereof.
11 . The system of claim 8 , wherein the one or more computing devices are further adapted to query the one or more databases for one or more additional customer questionnaires associated with one or more additional interactions from the queried one or more customer-agent interactions.
12 . The system of claim 11 , wherein the one or more computing devices are adapted to generate the agent evaluation form further based on customer feedback provided via the one or more additional customer questionnaires.
13 . The system of claim 12 , wherein the one or more computing devices are further adapted to communicate, to the one or more user-selected evaluators, one or more additional media streams of the one or more additional interactions; and
wherein the one or more output devices are further adapted to visualize, audibilize, or both, the one or more additional media streams.
14 . The system of claim 12 , wherein the one or more computing devices are adapted to calculate the customer feedback variance score for the one or more user-selected evaluators by further comparing:
the evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the one or more additional customer questionnaires.
15 . A method for calibrating evaluator feedback relating to one or more agent-customer interactions based on corresponding customer feedback, which comprises:
querying one or more databases, using one or more computing devices, for:
one or more agent-customer interactions satisfying one or more user-selected filter criteria; and
a customer questionnaire associated with an interaction from the queried one or more agent-customer interactions;
generating an agent evaluation form, using the one or more computing devices, based on customer feedback provided via the customer questionnaire;
communicating, to one or more user-selected evaluators using the one or more computing devices, the generated agent evaluation form and one or more media streams of the interaction;
visualizing, audibilizing, or both, via one or more output devices each accessible by at least one of the one or more user-selected evaluators:
the one or more media streams of the interaction; and
the generated agent evaluation form;
and
calculating a customer feedback variance score, using the one or more computing devices, for the one or more user-selected evaluators, by comparing:
evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the customer questionnaire.
16 . The method of claim 15 , which further comprises visualizing, audibilizing, or both, via the one or more output devices, the calculated customer feedback variance score.
17 . The method of claim 15 , wherein the one or more user-selected filter criteria comprise channel type, duration of interaction, customer scoring of interaction, customer sentiment during interaction, or any combination thereof.
18 . The method of claim 15 , which further comprises querying the one or more databases, using the one or more computing devices, for one or more additional customer questionnaires associated with one or more additional interactions from the queried one or more customer-agent interactions.
19 . The method of claim 18 , wherein generating the agent evaluation form, using the one or more computing devices, is further based on customer feedback provided via the one or more additional customer questionnaires.
20 . The method of claim 19 , which further comprises:
communicating to the one or more user-selected evaluators, using the one or more computing devices, one or more additional media streams of the one or more additional interactions; and
visualizing, audibilizing, or both, via the one or more output devices, the one or more additional media streams.
21 . The method of claim 20 , wherein the customer feedback variance score is calculated, using the one or more computing devices, by further comparing:
the evaluator feedback received via completion of the communicated agent evaluation form by the one or more user-selected evaluators; to
the customer feedback provided via the one or more additional customer questionnaires.