RingSense QM Report - Interaction Arrival AI Analytics
Provide QM Reporting on RS4RCX that provides details of incoming Interactions, compiled with API Data from RingCX on Abandoned Calls and marry the abandoned with Sentiment and the number of available agents in the timeline.
Useful information to have in the report based on Hourly (with a date/range selected), daily, weekly and monthly.
The number of interactions could show peaks and valleys, when abandoned interactions occurred, what the average sentiment was of the handled interactions at the time, average wait time, average handle time, number of agents logged in, number of agents available, number of agents busy and number of agent Ring No Answer (an agent refused to answer and was placed in RNA unavailable), and number of unavailable agents. It would be extremely useful to also pull in the callback in queue data from the RingCX APIs to show when callbacks were engaged as well. We want to highlight activity stress points for the queues, showing when activity versus staffing were off balance i.e. too may interactions for active agent. AI could then generate light forecasting for future staffing requirements.
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See attachment for more details