Abstract:
A device may capture call data corresponding to call between an agent of a call center and a caller. The device may identify a guidance template based on the call data. The guidance template may include one or more rules and/or information for assisting the agent during the call. The device may generate an agent prompt based on the guidance template and/or provide the guidance prompt to an agent device of the agent. The agent device may receive the guidance prompt and display the guidance prompt to the agent. The agent device may capture additional call data from the call and update the guidance prompt based on the call inputs.
Abstract:
A computing device obtains call data for multiple calls received at a call center and plots individual calls of the multiple calls, based on the call data, against three behavioral measures related to agent activities. The computing device identifies an optimal zone, among the plotted individual calls, for a selected performance metric value over the three behavioral measures. The computing device also plots a particular agent's calls, based on the call data, against the three behavioral measures and identifies an agent's zone, among the plotted agent's calls, for the selected performance metric value. The computing device generates a visual model of the optimal zone and the agent's zone within the context of the three behavioral measures.
Abstract:
A device may capture call data corresponding to call between an agent of a call center and a caller. The device may identify a guidance template based on the call data. The guidance template may include one or more rules and/or information for assisting the agent during the call. The device may generate an agent prompt based on the guidance template and/or provide the guidance prompt to an agent device of the agent. The agent device may receive the guidance prompt and display the guidance prompt to the agent. The agent device may capture additional call data from the call and update the guidance prompt based on the call inputs.
Abstract:
Systems and methods described herein enable call center managers to identify behavioral drivers for improving call agents' performance. A computing device obtains call data for multiple calls received at a call center and plots individual calls of the multiple calls, based on the call data, against three behavioral measures related to agent activities. The computing device identifies an optimal zone, among the plotted individual calls, for a selected performance metric value over the three behavioral measures. The computing device also plots a particular agent's calls, based on the call data, against the three behavioral measures and identifies an agent's zone, among the plotted agent's calls, for the selected performance metric value. The computing device generates a visual model of the optimal zone and the agent's zone within the context of the three behavioral measures.