Predictive Screen Recording for Contact Centers
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Solution Overview
Problem
Current contact center systems record a fixed percentage of agent interactions, which is inefficient as it results in too few recordings for high-performing agents and too many for low-performing agents, leading to unnecessary storage costs and redundant evaluations.
Innovation Solution
A predictive screen recording system that calculates an Agent Recording Percentage (ARP) for each agent based on their performance indicators, dynamically determining the need for screen recordings to optimize storage usage and evaluation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed predetermined percentage of interactions are recorded for all agents, then storage costs are controlled, but high-performance agents have too few recordings for quality evaluation while low-performance agents have redundant recordings
Solution Approach 1:
The system applies different recording percentages to different agents based on their individual performance levels. High-performance agents receive lower recording percentages while low-performance agents receive higher percentages, ensuring each agent gets appropriate evaluation coverage without uniform over-recording.
Solution Approach 2:
The recording percentage parameter is dynamically adjusted based on agent performance metrics. The system calculates an Agent Recording Percentage (ARP) value that changes according to performance indicators, allowing flexible optimization of both evaluation quality and storage efficiency.
2Ease of manufacture
If random sampling is used for recording decisions, then implementation is simple, but the distribution of useful evaluation data is inefficient across different performance levels
Solution Approach 1:
The system uses agent performance feedback to dynamically adjust recording percentages. By continuously monitoring performance indicators and updating ARP values, the system optimizes recording decisions based on actual evaluation needs rather than random selection.
Solution Approach 2:
The recording percentage transitions from a static fixed value to a dynamic value that adapts to each agent's performance level. The ARP calculation allows the system to flexibly adjust recording rates in real-time based on changing performance conditions.
Data Source
AI summary
A computerized-method for a personalized screen recording in a contact center is provided herein. The computerized-method includes, before each interaction between an agent and a customer, operating a predictive screen recording module to yield an Agent Recording Percentage (ARP) value; and based on the ARP value, operating a recording of screen events module for recording one or more voice or digital interactions, on one or more screens associated to a computing device of the agent.


