UC Analytics Copilot-Microsoft Teams communication insights
AI-powered insights for optimizing Teams data.
Identify and visualize top 10 agent performance: Generate bar charts showcasing Total Calls Handled, Average Call Duration, and Average Queue Duration for the top 10 agents from 'agenttimelineanalytics' using 'agent_performance'
/optimize PSTN Logs
/enhance Team Dashboard
/assess Team Performance
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UC Analytics Copilot Overview
UC Analytics Copilot is a specialized tool designed to analyze Microsoft Teams call data, focusing on key areas such as PSTN calls, call quality, and communication flow. It processes complex data from Microsoft Teams Direct Routing, Auto Attendants, and Call Queues, providing IT professionals with insights that optimize communication systems. For example, UC Analytics Copilot can identify patterns in call duration, evaluate agent performance, and detect call quality anomalies, helping companies to improve their customer service experience. Its strength lies in converting raw data into actionable insights, making communication management more efficient.
Core Functions of UC Analytics Copilot
PSTN Call Analysis
ExampleAnalyzes the number of outbound and inbound PSTN calls made within a specific period, identifying call duration, cost, and success rates.
ScenarioA company’s IT department uses this function to review their international PSTN call charges and duration, optimizing costs by identifying unnecessary call expenses.
Call Queue Analytics
ExampleTracks the performance of Call Queues, including metrics such as the number of calls handled, call duration, and outcomes (e.g., completed, missed, or abandoned).
ScenarioCustomer service teams leverage this function to monitor their agents' responsiveness, identifying peak times for calls and reallocating resources accordingly to improve service quality.
Agent Performance Monitoring
ExampleProvides insights into individual agent performance by tracking call counts, call durations, and outcomes over time.
ScenarioA manager uses this function to identify high-performing agents and those needing additional training by analyzing data on call handling efficiency and customer satisfaction rates.
Target User Groups for UC Analytics Copilot
IT and Communication Managers
These users oversee the technical aspects of communication systems within an organization. UC Analytics Copilot helps them monitor system performance, optimize call flows, and identify technical issues like call quality problems.
Customer Service Leaders
Managers of customer service teams use UC Analytics Copilot to track agent performance, assess Call Queue efficiency, and make data-driven decisions to improve customer interactions, ensuring fast response times and effective problem resolution.
How to Use UC Analytics Copilot
Visit aichatonline.org for a free trial without login, no need for ChatGPT Plus.
Go to the website to start using UC Analytics Copilot, where you can immediately access its features without requiring an account or premium subscription.
Upload Your Data Files
Upload data files such as Microsoft Teams PSTN logs, Auto Attendant, or Call Queue reports for analysis. Ensure the files are in supported formats (CSV, JSON).
Select Analysis Type
Choose the type of analysis you need, such as call quality metrics, agent performance, or auto attendant call flows. This helps you focus the data insights on specific use cases.
Review Visualized Data Insights
UC Analytics Copilot provides dynamic visualizations like radial charts, trend lines, and call flow diagrams. These visuals simplify understanding communication data.
Export and Share Reports
After reviewing insights, export the generated reports in PDF or CSV formats. Share them with team members or other stakeholders for actionable decisions.
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Common Questions About UC Analytics Copilot
What types of data can UC Analytics Copilot analyze?
It can analyze Microsoft Teams PSTN call logs, Direct Routing calls, Auto Attendant call flows, Call Queue analytics, and Agent performance metrics.
How does UC Analytics Copilot help with communication flow optimization?
It visualizes call data patterns and identifies bottlenecks, resource overuse, or underuse. This insight aids in optimizing staffing and communication strategies.
Can I use it to track agent performance in real-time?
Yes, UC Analytics Copilot provides real-time insights into agent call handling, such as call duration, waiting times, and resolution efficiency.
What visual tools does UC Analytics Copilot offer?
It features radial charts for communication patterns, heatmaps for call volumes, and Sankey diagrams for detailed call flow analysis.
Is UC Analytics Copilot suitable for non-technical users?
Yes, the interface is designed to be intuitive. Data visualizations and clear reports make it easy to derive insights without deep technical knowledge.