Effective contact center management requires continuous analysis of data and performance metrics. NovaTalks offers a powerful reporting system that helps managers and supervisors monitor the work of the contact center and make informed decisions based on up-to-date information.

The reporting system in NovaTalks includes two main types:

Online reports (real-time) – provide current information on operational status, displaying dynamic performance metrics that update instantly.

Historical reports – contain data from past periods for trend analysis and comparison.

The platform offers flexible capabilities for working with reports:

• Downloading in CSV or XLSX formats for detailed data analysis outside the system.
• Sorting by columns to organize information in ascending or descending order.
• Filtering data by selected parameters.
• Display customization through statistics configuration, where you can select necessary parameters and define their order.

Regular review of key reports helps quickly identify problems, optimize workflows, and improve customer service quality. Let’s look at the five most important reports that should be analyzed daily for maximum contact center efficiency.

Report “Agents Overview Sum”

The “Agents Overview Sum” report is one of the most valuable tools for daily monitoring of contact center performance, as it displays key agent performance metrics by selected interval, team, and channel. This report allows managers to quickly assess agent efficiency and identify potential issues.

Why this report is important?

Daily analysis of this report helps:

• Track individual agent performance.
• Compare metrics across different teams.
• Monitor service quality across communication channels.
• Identify bottlenecks in contact center operations.

Key metrics of the report:

1. Response speed metrics

• Avg first response time – the average time a client waits for the agent’s first reply. An extremely important metric directly affecting customer satisfaction, as long first response times often lead to negative experiences.
• Avg response time – the average time an agent takes to reply to a client message. This metric indicates service responsiveness and agent efficiency.

2. Dialogue handling metrics

• Unanswered requests – metric showing the frequency of cases where the agent rejected or did not accept the assigned dialogue. A high value may indicate insufficient agent availability or workload distribution issues.
• Transferred requests – indicator of how often dialogues are redirected to other agents or support teams. An elevated value may indicate insufficient agent qualification for independent issue resolution or systemic routing problems. Analyzing this metric helps optimize request distribution processes and identify staff training needs.
• Processed dialogues – a key performance metric reflecting the agent’s actual workload.

3. Communication intensity metrics

• Avg incoming/outgoing messages – helps understand the complexity of dialogues and the effort required to resolve them.

4. Processing time metrics

• Avg dialogue duration per agent – shows the average time an agent spends handling a single client.
• Avg processing time – a comprehensive metric covering all stages of dialogue handling (conversation, waiting, post-call processing, etc.).

Regular analysis of these metrics, especially first response time, overall response time, and CSAT, allows timely identification of customer service issues, workflow optimization, and ensuring high customer service levels.

Report “Teams Overview Sum”

The “Teams Overview Sum” report is a comprehensive tool for evaluating team performance in the contact center. It allows analysis of entire team productivity by selected interval and channel, providing the ability to identify systemic problems and assess overall service quality.

Why this report is important?

Daily analysis of this report helps:

• Compare the effectiveness of different teams.
• Identify overall trends in customer service.
• Analyze workload distribution among teams.
• Monitor compliance with service level targets.
• Track average client waiting time and respond promptly to deviations from standards.

Key metrics of the report:

1. Service level metrics

• SL % – one of the most critical contact center metrics, showing the percentage of dialogues answered within the target service time. For example, 80% of dialogues answered by an agent within 20 seconds. This metric directly reflects service quality in terms of responsiveness.
• Avg accepted time – average speed of dialogue acceptance by an agent after assignment to the team. This metric demonstrates client waiting time in the queue until an agent accepts the dialogue, a crucial factor in shaping customer experience.
• Avg abandoned in queue time – average duration from dialogue assignment to team until client ends the dialogue due to no response. This metric helps identify potential client losses due to long wait times.
• Number of abandoned dialogues – total number of requests completed by clients before receiving a response from an agent. A high number indicates potential agent availability issues and may negatively impact client satisfaction.

2. Response speed metrics

• Avg first response time – average time a client waits for the first reply. A critical metric that directly correlates with client satisfaction.
• Avg response time – average agent reaction time to client messages within the team, indicating responsiveness.

3. Team productivity metrics

• Unanswered – number of cases where team agents did not accept or rejected dialogues assigned to the team. Analyzing this metric helps identify workload distribution or staff availability issues within the team.
• Transferred – frequency of dialogues redirected to other specialists or teams after assignment. A high value may indicate team skill mismatch with request types or the need to review routing rules.
• Processed – number of successfully handled dialogues, reflecting real team productivity.
• Avg processing time – average time spent handling a dialogue, including all interaction stages, allowing assessment of overall service efficiency.

4. Communication and interaction analysis

• Avg incoming messages – average number of client messages per dialogue assigned to the team. Helps determine typical communication intensity.
• Avg outgoing messages – average number of messages sent by agents and bots per dialogue. Allows evaluation of response completeness and detail.
• Bot outgoing messages – assessment of automation and bot efficiency within the team.
• Avg dialogue duration per team – average interaction duration with clients, reflecting request complexity and resolution efficiency.

Daily monitoring of these metrics allows timely response to changes in team performance, identification of agent availability issues, evaluation of compliance with service targets, and informed management decisions on contact center resource allocation. Special attention should be paid to SL and response speed, as they directly affect customer satisfaction.

Report “Agents Quality Sum”

The “Agents Quality Sum” report is an important tool for monitoring service quality, showing agent evaluations by selected interval, channel, and team. This report allows not only tracking individual quality metrics for each agent but also identifying patterns and trends in customer service quality.

Why this report is important?

Daily analysis of this report helps:

• Monitor customer service quality.
• Identify strengths and weaknesses in individual agent performance.
• Determine the need for additional training or adjustments in work approach.
• Make objective HR decisions based on data.

Key metrics of the report:

1. Main quality assessment metrics

• Avg quality score – the average score over the interval, which is a key indicator of agent performance consistency and compliance with established service standards.
• Number of evaluations – the number of scores given for an agent over the selected interval, which affects data representativeness and allows assessment of the volume of reviewed work.

2. Analysis by different dimensions

The report allows filtering and analyzing data by several important parameters:

• By agents – comparison of the quality of work of different operators.
• By teams – identification of teams with the highest and lowest service quality levels.
• By channels – analysis of service quality across different communication platforms.
• By time intervals – tracking quality dynamics and identifying trends.

Systematic monitoring of report metrics ensures a consistently high level of customer service, timely identification of training needs for agents, and optimization of quality control processes in the contact center. Special attention should be paid to the dynamics of average scores, as this metric best reflects the actual service level experienced by clients.

Report “Agents Availability Sum”

The “Agents Availability Sum” report is one of the most important tools for monitoring the performance of the agent team.

What does this report show?

This report provides a detailed view of agent states over a selected time interval, allowing managers to get a complete picture of agent availability and efficient use of working hours.

Why is it important?

Daily analysis of the “Agents Availability Sum” report allows:

• Assessing real agent availability. The ratio of time in Online, Busy, and Offline statuses helps understand how effectively the team’s working time is utilized.
• Identifying workload distribution issues. Excessive time in Busy status for some agents may indicate uneven task distribution.
• Monitoring discipline. Duration in different statuses helps track adherence to work schedules and detect anomalies.
• Optimizing staffing schedules. Analyzing agent availability helps better plan shifts and determine the optimal number of agents for different periods.
• Improving customer service quality. Ensuring a sufficient number of available agents directly affects response speed and customer satisfaction.

Key metrics for daily analysis

When reviewing the report daily, focus on the following metrics:

• Online/Busy/Offline ratio – this balance shows the performance of individual agents as well as the entire team.
• Login duration – helps track total agent working hours.
• Status dynamics throughout the day – allows identification of peak loads and schedule optimization.

Regular analysis of this report will help improve operational efficiency of the contact center, optimize workflows, and ensure a high level of customer service.

Report “Channels Overview Sum”

The “Channels Overview Sum” report in NovaTalks provides a comprehensive analysis of the performance of different communication channels.

What does the “Channels Overview Sum” report represent?

This report displays the key performance indicators of each communication channel over a selected time interval. It allows contact center managers to assess the efficiency of handling dialogs across different customer interaction channels.

Key metrics of the report and their importance

1. Channel load metrics

• Assigned dialogs – total number of dialogs received through the channel.
• Accepted dialogs – number of dialogs accepted by agents.
• Dropped dialogs – number of dialogs that ended in the queue before being accepted by an agent.

Tracking these metrics helps determine which communication channels are most popular among customers and identify issues with handling requests in specific channels.

2. Service speed metrics

• Avg first response time – average time between assigning a dialog to an agent and their first response.
• Avg first response time from dialog start – average time from the beginning of the dialog to the agent’s first response.
• Avg response time – average time between “client-agent” message pairs.

Response speed is a critical factor in customer satisfaction. Different communication channels have different expectations for response speed – for example, in live chat, customers expect faster replies than via email. Daily analysis of these metrics ensures your team meets customer expectations on each channel.

3. Interaction efficiency metrics

• Dialog duration – total duration of dialogs per channel.
• Avg dialog duration – average duration of a dialog within the channel.
• Avg handling time – average time agents spend processing dialogs.
• Avg bot time – average time dialogs are handled by the automated system (bot) before being transferred to an agent or completed. This metric helps assess bot efficiency and the time customers spend interacting with automated solutions.
• Avg incoming/outgoing messages – average number of messages per dialog.

These metrics allow evaluating communication efficiency across channels. For example, a higher number of messages with the same dialog duration may indicate more dynamic and effective interaction in a particular channel.

4. Customer waiting metrics

• Avg in queue time – average time dialogs spend in the queue.
• Avg accepted time – average time a customer waits from entering the queue to being accepted by an agent.
• Avg dropped time – average time from assignment to the team until the dialog ends in the queue without agent response.

These are extremely important metrics for monitoring customer experience. Excessive waiting time may lead to customer churn and negative feedback. Daily monitoring helps detect availability issues for specific channels in time.

5. Service quality metrics across channels

• Agent participated – number of dialogs with at least one message from an agent.
• Completed – number of completed dialogs.
• Transferred – number of dialogs transferred to other agents/teams.

These metrics help assess the level of customer service across different channels. A high number of transfers may indicate insufficient agent competence in handling a specific channel or type of request.

Importance of daily report analysis

Regular review of the report allows:

• Assessing the efficiency of different communication channels – identify which channels are most demanded and effective for your business.
• Optimizing resource allocation – assign more agents to busy channels.
• Improving service quality – identify channels with the longest wait times or lowest response speed.
• Establishing different service standards – set different SLAs for different channels considering their specifics.
• Making strategic decisions – determine which channels to develop and which may require restructuring.

Daily monitoring of this report helps contact center managers ensure high-quality customer service across all communication channels, optimize workflows, and make informed decisions regarding the development of an omnichannel customer interaction strategy.

Act now!

Implementing NovaTalks in your contact center is an investment in controlled efficiency and higher customer service quality. The system allows you to:

• Instantly detect customer service issues.
• Make decisions based on accurate data rather than assumptions.
• Increase team productivity through objective metrics and clear standards.
• Gain a competitive advantage through superior customer service.

Do not rely on intuition in managing customer service – choose NovaTalks for precise data and informed decisions!