Add Genuine Emotion Detection to your call center quality assurance solutions
KNOW Your Call Center™
QA7 Voice Analysis Technology uses advanced voice analysis for Genuine Emotional Detection to scan through all ongoing calls in your call center and identify the ones that are mistreated, require training, or contain crucial information for your business.
Call center quality assurance - Randomly listening is not enough.
Research show that out of every 100 calls taking place, 1 to 5 are mistreated. Randomly listening to calls is therefore very ineffective and the alternative of waiting for customers to complain or just leave is simply not a valid option in today’s competitive market.
3 paths of using Genuine Emotion & Personality Assessment in the Call Center
Customer side experience & insights
Monitor the customers’ satisfaction from the level of service, the products, procedures and the organizational operation.
Management side & ROI
Key Performance Indicators and reports are easily created to reflect objective data for management use.
The Agent’s side experience
Follow your agents' emotional trends - from selection to training, to graduation and to early retirement signs.
Immediate & Objective KPIs
Get real-time alerts when your customer is getting angry!
Using Nemesysco’s QA7 emotion analysis technology, your call center solution can now enable new and advanced features
Automated generation of unbiased reports measuring overall site, group and individual performance over time
Identify various warning signs earlier and faster
Track agents' performance to improve training and apply gamification techniques
Identify emotional patterns of the agents over the day to optimize the work schedule
Set Your Focus on
QA7’s primary goal is to quickly identify mishandled calls so managers can take affirmative action, on time, and improve agents’ training.
Identify basic "emotion styles" to improve sales
Start building today for a solid tomorrow
Collect the emotional profiles of agents and customers in the CRM system.
Add BIG DATA analysis to identify emotional interactions and find “Cultural/Emotional based” optimal matches
Match the most suitable agent to the customer’s emotional profile
Offer the most suitable products, with the most suitable agent, at the most suitable time
