NICE CXone Mpower

My main use case for NICE CXone  is workforce management and workforce engagement.

One specific example of how I use NICE CXone  for workforce management and engagement is to monitor quality assurance for our call recordings and customer experience interactions.

NICE CXone helps with monitoring quality assurance for call recordings and customer interactions by recording calls and creating transcripts from text or SMS, which are then sent to the quality management tool or a WEM tool, allowing us to automatically score those calls for compliance and quality, and document processes to improve in the areas that were scored.

We have seen improvements in agent productivity, customer satisfaction, and reduced wait times. Specifically, we have seen an improvement in our CSAT scores and NPS  scores, a reduction in cost per call, a decrease in average handle time, and utilization across the board has improved. Calls are more efficient because of agent assist and other tools, leading to many KPIs that have been improved through the use of NICE CXone.

The best features NICE CXone offers include a whole suite of products that encompasses workforce management, which involves scheduling the agents, recording their calls, and monitoring their calls, and performance management, providing coaching tools for the agent based on those quality scores. There is a wide array of WEM tools that help customer experience, agent performance, and optimization for the contact center.

Out of all those features, I find workforce management to be the most valuable in my day-to-day work because it allows us to schedule the agents and put them in the right place at the right time so that they are able to answer calls accordingly and our customers are not waiting for someone to speak to.

Workforce management allows for forecasting, scheduling, time off requests, and adjustments, making it a great tool that we utilize accordingly with our contact center.

NICE CXone has positively impacted my organization because the tools have been beneficial regarding the improvements I mentioned previously. One thing that could be better is the support that NICE provides around those tools. The tools themselves are adequate, we love the WFM tools, and the quality management tools have done their job, but they could be more robust and incorporate more AI solutions.

The support that NICE CXone provides is usually not timely, and we typically have to wait two or three days before we hear back or even longer to get an outcome or a response.

Enhancements in the tool could be beneficial, such as incorporating AI more thoroughly. An AI agent or some type of AI analyst would be beneficial so we do not have to do as much reporting and could simply input a prompt to an AI analyst who would provide us the coaching, feedback, statistics, or data we need.

The accuracy and reliability of NICE CXone's output need improvement. They are still using antiquated AI solutions instead of moving to more agentic models. They are still using more generative types of outcomes, which are acceptable, but much of the competition in the space have moved to more agentic and more natural language approaches. I think that is the next step for them.

I have been using NICE CXone for three years.

My advice to others looking into using NICE CXone is that it is an expensive product with a lot of guardrails on it. It forces you to use all the features, and it is not agnostic, so you have to use their call recording and all their other solutions. If you prefer something else, such as another WFM but prefer their QM, it does not work because it is all or nothing with them. I would rate this product a 6 overall.