Higher success at curbing churn hinges on being able to proactively keep agents from leaving. Trying to change an agent’s mind once they have already decided to leave is not only painfully frustrating, but also statistically unsuccessful. You need the tools to step in and address agent concerns or issues BEFORE they have even reached the thought of leaving your organization.
Agent Pain Points: How to Benefit from Proactive Performance Management
Call centers have long battled with the costs associated with agent turnover. Depending on the type of contact center, you might be looking at the training cost of an individual agent around $5k or even $10k. At AnswerOn, we have found that taking preventative measures is the best way to ensure your company doesn’t incur these unnecessary expenses.
Agent Attrition Management: Say Goodbye to Unnecessary Costs
When we talk with business leaders in the call center industry, Agent Attrition Management always seems to be a major pain point. AnswerOn provides a proven science-based approach to curb attrition. It combines with advanced cloud-based tools that are easy to implement and work with your existing infrastructure.
Predictive Analytics: Using Data to Save Money and Employees
It’s no secret that high rates of employee turnover result in financial losses for a company. Where does the money go? Every step of the employment process has hidden expenses, even steps like listing a job or hiring someone. However, in call centers, one cost stands out from the rest: training and onboarding new employees.
True Crime: Fighting Agent Attrition
The TV crime show genre is very popular. Fighting agent attrition with AnswerOn is a lot more like your favorite “whodunit” than you’d expect it to be.
MBWA – Management By Walking Around
CEO Eric Johnson explains how managers trick themselves into thinking they know how their employees feel just by walking around.
The AnswerOn Development Environment and Process
To provide the most value for our services, AnswerOn must respond quickly and accurately to the evolving requirements of our customers. The behavior of the end user (our customer’s customer), is not static. Predictive models and prescriptive interventions must be constantly monitored and enhanced to align with behavioral changes.
