Improve Customer Experience with Actionable Insights
Zacoustic Harmony Dashboard
Zacoustic Harmony gives users the ability to manage customer experience just like any other metric currently being managed in real-time. No more waiting 2-3 days for e-mail survey responses or trying to manage your metrics with a 5-10% survey response rate from SMS or IVR - with Zacoustic a survey outcome for every interaction is generated immediately by calibrated employees.
Harmony combines calibrated predictions from customer-facing employees with pivots like Reason for Contact, Sales Conversions, and Average Handle Time to produce robust insights that simply could not be achieved without the quality of data Zacoustic Harmony leverages. Representing a true breakthrough in experience management, Harmony provides users with separate views of the Inner and Outer Loops of Control.
The Inner and Outer Loops of Control
The Inner Loop represents tasks that are controllable by the customer-facing employee while the Outer Loop defines those out of their control. This one-of-a-kind view allows for tremendous actionable insights including identifying best practices and exposing process failures.
Inner Loop
Discover Best Practice
Best Practice Suggestion Panel
Zacoustic Harmony finds the needles in the haystack, highlighting employees who are driving successful results where their peers struggle. These events are pushed to the Zacoustic Harmony dashboard for validation and definition.
Define and Share Best Practices
Best Practice Definition Panel
With an exemplary specimen attached, best practices are defined and shared throughout the organization. Further, best practices are auto-loaded into the QA evaluation form inside Zacoustic QA Vision.
Outer Loop
Expose Policy and Process Hurdles
Process Failure Suggestion Panel
Zacoustic Harmony suggests tasks that it believes are beyond employee control based on top performing employee’s results within those difficult task categories.
Define Process and Policy Hurdles
Process Failure Definition Panel
Defining process failures based on solid data allows for correction and metrics improvement.