Overview Analytics gives your team a clear top-level view of business call activity in one dashboard. Instead of checking separate reports for answered calls, missed calls, invalid numbers, agent activity, and callback performance, Utelenet brings the key operational metrics together in one place.
This is useful for teams that need to understand daily call performance quickly. The dashboard helps show total calls, answered calls, missed calls, invalid numbers, answer rate, call volume trends, peak hours, and call quality indicators, so the team can see where communication is working well and where attention is needed.
Overview Analytics also helps connect call activity with practical business decisions. By reviewing missed call reasons, callback performance, agent performance, and invalid calls by agent or line, teams can improve response speed, reduce missed opportunities, and understand which parts of the call workflow need better control.
This helps solve scattered reporting, slow performance review, unclear call quality, missed call visibility, weak callback tracking, and the need to manually combine call data from different parts of the system.
Call Analytics helps your team understand call performance across the full business calling workflow. Utelenet brings together total calls, answered calls, missed calls, invalid numbers, answer rate, callback activity, and call quality metrics in one clear analytics view.
This is useful for teams that need to see not only how many calls were made, but also what happened with those calls. The dashboard helps track call volume, answered and missed call trends, invalid number issues, peak calling hours, missed call reasons, and recovery activity after missed conversations.
Call Analytics also makes it easier to compare performance by agent, line, or selected period. Teams can understand where response speed is strong, where missed calls need attention, which hours have the highest activity, and which call sources may create invalid or failed call attempts.
This helps solve unclear call performance, weak missed call visibility, low answer rate control, invalid number issues, poor callback tracking, and the need to manually compare call data across agents, lines, and time periods.
Agent Performance helps your team understand how each agent handles customer conversations across real call activity, answer rate, call duration, missed calls, risk signals, and conversation quality indicators. Instead of checking only the number of calls, Utelenet gives a clearer view of how calls are handled and where agent performance can improve.
This is useful for sales, support, service, and call center teams that need to compare agent activity, review conversation quality, and identify coaching opportunities. The dashboard can show reviewed calls, positive emotion, risk calls, coaching items, and AI-style performance scores based on available call data and conversation signals.
Agent Performance also helps make team review more focused. With filters by agent, date range, call type, emotion, and score, teams can quickly find the conversations that need attention, compare performance trends, and understand which agents may need support, training, or follow-up review.
This helps solve unclear agent performance, slow manual review, weak coaching visibility, missed risk signals, inconsistent call quality, and the need to manually compare agent activity across many calls.
Team Performance helps you understand how different teams, groups, and operational users handle customer calls. Instead of checking every agent separately, Utelenet gives a higher-level view of team productivity, answer rate, workload, callback recovery, risk calls, and overall team health.
This is useful for companies where managers, team leaders, and assigned agents work in groups. The dashboard makes it easier to compare manager groups, review answered, missed, and invalid calls, and understand which teams are performing well and which teams need more attention.
Team Performance also helps connect call activity with operational quality. By using filters for group, date range, shift, call type, and health score, teams can review performance by period, spot workload pressure, and identify where response speed or follow-up recovery should improve.
This helps solve unclear team performance, uneven workload, missed follow-up opportunities, weak group comparison, slow operational review, and the lack of one clear view for team-level call productivity.
Queue Analytics helps your team understand how call queues are performing during busy hours. Instead of only seeing that calls are waiting, Utelenet shows queue load, average wait time, longest wait, abandoned calls, service level, and agent availability in one clear view.
This is useful for sales, support, billing, service, and call center teams that manage several queues or departments. The dashboard helps show how many calls are entering each queue, how many are answered, where customers wait too long, and where abandonment starts to increase.
Queue Analytics also helps teams improve staffing and routing decisions. With SLA breakdown, queue health summaries, wait time trends, department-level performance, and AI recommendations, it becomes easier to understand when more agents are needed and which queues need attention.
This helps solve long customer wait times, abandoned calls, unclear queue pressure, weak SLA control, uneven agent availability, and the lack of visibility into which departments need faster response or more staffing.
Message Analytics helps your team understand how customer messages perform across SMS, WhatsApp, Telegram, and email. Instead of looking only at how many messages were sent, Utelenet shows the full message journey from sent and delivered to read, replied, failed, and response time.
This is useful for sales, support, service, and marketing workflows where follow-up quality matters. Teams can compare channels, track campaign performance, understand delivery problems, measure reply rates, and see how quickly customers respond after messages are sent.
Message Analytics also helps improve customer communication over time. By reviewing delivery funnels, response time, channel health, failed messages, and campaign results, teams can understand which messages work better and where communication needs clearer timing, stronger text, or better call-to-action.
This helps solve unclear message performance, weak follow-up tracking, low reply visibility, failed delivery issues, slow customer response analysis, and the need to manually compare SMS, WhatsApp, Telegram, and email results.
CSAT, or Customer Satisfaction Score, helps your team understand how satisfied customers are after calls, messages, support conversations, and follow-up interactions. Instead of looking only at operational numbers, Utelenet connects satisfaction scores with real feedback, emotion tags, mood keywords, and service recommendations in one clear view.
This is useful for sales, support, service, and customer experience teams that want to understand not only what happened during the interaction, but how the customer felt after it. Teams can review feedback across calls, WhatsApp, email, and other channels, then identify positive experiences, risky conversations, and service areas that need attention.
CSAT also helps turn customer feedback into practical improvement. With satisfaction trends, reason split, voice-of-customer feedback, mood keywords, and agent happiness insights, teams can see what customers appreciate, what creates frustration, and where the service process should be improved.
This helps solve unclear customer satisfaction, missed frustration signals, weak feedback analysis, slow service quality review, and the lack of one clear place to understand why customers are happy or unhappy.
Sentiment Reports help your team understand the emotional direction of customer conversations across calls, messages, agents, teams, and topics. Instead of reviewing conversations only by volume or activity, Utelenet shows positive, neutral, negative, and high-risk sentiment patterns in one clear reporting view.
This is useful for sales, support, service, and customer experience teams that need to understand how customers feel over time. The dashboard can show team sentiment trends, sentiment distribution, emotion intensity, top agents by positive sentiment, weak topics, risk sources, and conversations that may need manager review.
Sentiment Reports also help teams move from general feedback to practical action. When sentiment is connected with topics, channels, AI summaries, risk reports, and agent performance, it becomes easier to identify where customers are satisfied, where frustration is increasing, and which conversations should be reviewed first.
This helps solve unclear customer mood, missed frustration trends, weak risk visibility, slow conversation review, inconsistent service quality, and the need to manually search through calls and messages to understand emotional patterns.
Revenue & Sales Analytics helps your team connect customer communication with real sales outcomes. Instead of looking at calls, messages, deals, and pipeline activity separately, Utelenet brings revenue, closed deals, conversion rate, average deal value, open pipeline, lost revenue, and sales performance into one clear analytics view.
This is useful for teams that want to understand which conversations create revenue and where opportunities slow down. The dashboard helps track sales trends, deal movement, lead sources, agent activity, product or plan performance, and follow-up impact across the selected period.
Revenue & Sales Analytics also helps the team see where attention is needed next. With AI revenue summaries, sales funnel visibility, revenue by source, pipeline forecasts, and at-risk opportunities, it becomes easier to identify strong channels, recover pending deals, and improve follow-up after pricing questions or missed sales moments.
This helps solve unclear sales performance, weak pipeline visibility, missed revenue opportunities, slow deal follow-up, poor source comparison, and the need to manually connect calls, messages, deals, agents, and revenue data.
Custom Reports help your team build simple, focused reports from the data that matters most to the business. Instead of using one fixed dashboard for every question, Utelenet lets you choose the metrics, sections, period, team, format, and schedule needed for a specific report.
This is useful for teams that need regular reporting across calls, agents, messages, revenue, queue performance, customer satisfaction, and AI insights. You can create executive summaries, agent reports, revenue reports, customer satisfaction reports, or custom internal views for different departments and management needs.
Custom Reports also make reporting easier to repeat. Teams can preview the report before export, save report drafts, use ready-made templates, schedule recurring reports, and export the final version in the format they need.
This helps solve scattered reporting, manual report preparation, repeated spreadsheet work, unclear management summaries, and the need to collect data from multiple dashboards before making decisions.
Book a demo and discover how Utelenet helps your team handle calls smarter, respond faster, and turn more conversations into measurable business growth.
Agent performance analytics helps managers understand how each agent works across calls, follow-ups, response speed and customer conversations. A busy team can handle many calls every day, but call volume alone does not show the full picture. Managers need to see who is active, who answers quickly, who follows up, which calls create results and where an agent may need training.
Utelenet gives teams a cloud phone system with call dashboards, call reporting, AI summaries, transcription, message history, call recordings and performance metrics. This helps sales teams, support teams, BPO operations, ecommerce stores, SaaS companies, healthcare providers, financial services and remote teams understand daily communication with more clarity.
A strong performance view helps companies support agents instead of managing by guesswork. The goal is not only to count calls. The goal is to understand activity, quality, follow-up discipline and customer outcomes. When managers can see the full communication process, coaching becomes more specific and team performance becomes easier to improve.
The market for communication analytics and coaching tools is growing because companies need better ways to manage people, performance and customer experience. The global contact center analytics market was estimated at USD 1.91 billion in 2024 and is projected to reach USD 5.75 billion by 2030. This growth is connected to the value of monitoring service metrics, employee performance, call times, customer satisfaction and efficiency.
The agent coaching platform market is growing as well. It was valued at USD 760.7 million in 2024 and is projected to reach USD 1.7 billion by 2034. This reflects a practical need in customer-facing teams: managers want better tools to develop agents, review performance and deliver focused coaching based on real conversations.
The wider contact center software market was estimated at USD 47.71 billion in 2025 and is projected to reach USD 227.57 billion by 2033. Businesses are investing in tools that improve response times, personalize customer experience, automate processes and help teams work more efficiently. For growing teams, performance analytics is part of that same movement toward clearer, more measurable communication.
A useful dashboard should show more than total calls. Total calls are important, but they do not show whether the agent answered quickly, followed up properly, helped the customer or created the right next step. A practical agent dashboard should combine activity, speed, call outcomes, quality signals and follow-up visibility.
Utelenet helps managers see daily activity through call dashboards and performance metrics. A manager can understand how many calls an agent handled, how many calls were missed, how response speed changed and how communication continued after the call. When AI summaries and transcription are connected to analytics, managers can also review what happened inside important conversations.
A good agent scorecard should help the team improve, not only compare numbers. It should make coaching easier and more focused. If an agent answers many calls but follow-up is weak, the manager can support that area. If another agent handles fewer calls but creates strong outcomes, the manager can review the process and learn from it. The best dashboards help managers ask better questions.
Agent performance analytics gives managers a clearer view of activity and productivity across the team. Activity can include answered calls, outbound calls, missed calls, callbacks, messages, follow-ups and time spent on communication. Productivity is not only about doing more. It is about handling work in a way that supports the customer and the business.
For sales teams, agent productivity analytics can show who is actively contacting leads, who returns missed calls and who keeps follow-up moving. For support teams, it can show who is handling customer questions, how demand is distributed and where workload may need better balance. For BPO teams, it can help compare groups, managers and agents across different client accounts or campaigns.
Utelenet helps make these signals visible in one communication environment. Calls, messages, AI summaries, transcription and analytics can work together, so managers are not forced to collect performance information from separate tools. This helps the business see daily productivity without losing the human context behind customer conversations.
Response speed is one of the clearest signals in customer communication. When an agent answers quickly or returns a missed call fast, the customer experience feels more professional. When response is slow, a lead may lose interest or a support customer may need to call again.
Call agent performance should include response time, answered calls, missed calls, outbound activity and callback behavior. These metrics help managers understand whether the agent is keeping up with customer demand. They also help identify when an agent may need more support, better routing or a clearer workflow.
Utelenet helps managers review response patterns in the same place as call activity. This matters because speed should be understood in context. If an agent is slow during a busy hour, the issue may be workload. If missed calls appear often for one group, routing may need improvement. Better data helps managers solve the real problem instead of guessing.
Follow-up quality is one of the most important parts of agent performance. A good call can lose value if the next step is not completed. A lead may ask for pricing, but never receive the message. A support customer may need an update, but the task may be forgotten. A patient, client or shopper may call once and wait for the team to continue the conversation.
Agent performance analytics helps managers see whether follow-up is happening. This can include callbacks, WhatsApp messages, SMS updates, emails or other customer messages after the call. When message history is connected to call history, the manager can understand whether the agent continued the conversation properly.
Utelenet supports this by connecting calls with message history, AI summaries, transcription and analytics. A manager can see the call, understand the main points and check whether the customer received the next step. This makes follow-up quality easier to manage and easier to improve.
An agent scorecard should give managers a balanced view of performance. It can include call volume, answered calls, missed calls, outbound activity, response speed, follow-up activity, call outcomes and quality review. The purpose is not to reduce people to numbers. The purpose is to make performance easier to understand and coaching easier to deliver.
AI adoption is rising across business functions, with McKinsey reporting that 88% of organizations use AI regularly in at least one business function. In agent performance workflows, AI can support managers by making call review faster. Summaries, transcription, recaps and sentiment insights help managers understand conversations more efficiently.
With Utelenet, an agent scorecard can be supported by real call context. A manager can see the numbers and then review the conversation behind them. If an agent has strong activity, the manager can find successful calls. If an agent needs support, the manager can use summaries and transcripts to provide specific feedback. This creates a more useful coaching process.
Sales and support teams need different performance views. Sales managers often care about outbound calls, lead response, missed opportunities, callbacks, follow-up speed and conversation quality. Support managers care about answered calls, response times, customer questions, repeated issues and service consistency.
Agent performance analytics helps both teams work with clearer information. Sales teams can see whether leads are being handled quickly and whether follow-up is happening. Support teams can see whether customers are receiving answers and whether agents need help with repeated topics. Managers can connect call activity with AI summaries, transcription and message history to understand both quantity and quality.
Utelenet helps teams manage this in one platform. A sales call can be summarized and followed by a message. A support call can be transcribed and reviewed for training. A missed call can be returned and tracked. A manager can compare activity across agents and groups with more confidence.
Managers need to find training areas quickly. Without the right tools, they may spend too much time listening to random recordings or relying on complaints. That makes coaching reactive. A better workflow helps managers notice patterns earlier and use real calls for training.
Utelenet supports training by connecting analytics with AI summaries, transcription and call recordings. A manager can find calls where an agent handled a customer question well. They can also find calls where the next step was unclear or the customer needed more explanation. This makes training more specific and easier for agents to apply.
Training areas may include response speed, call opening, objection handling, support explanation, follow-up quality, tone, message consistency or understanding customer context. When these areas are visible, managers can help agents improve step by step instead of giving vague feedback.
A growing company often needs more than one performance view. A team leader may manage a small group of agents. A manager may compare several groups. A business owner may want a full view across sales, support and operations. A good dashboard should support all of these levels.
Agent performance analytics helps managers compare performance without losing context. One group may handle more call volume. Another may have faster response. Another may create stronger follow-up. The value is in seeing the pattern and understanding what creates it.
Utelenet is built for this kind of visibility. Managers can review agent activity, call performance metrics, group performance, missed calls, response speed, message history and AI-supported call review. This gives the business a clearer way to understand which teams are working well and where support or process improvement may help.
Utelenet brings calls, dashboards, AI summaries, transcription, recordings, message history and performance metrics into one communication platform. This makes it useful for managers who need to understand how agents work across calls and follow-ups, not only how many calls were made.
The platform supports sales teams, support teams, BPO operations, SaaS companies, ecommerce stores, healthcare providers, financial services, local service businesses and remote teams. Each team has different goals, but every team needs visibility into activity, speed, quality and follow-up.
Utelenet helps managers coach with more context, compare agents and groups more clearly and improve customer communication based on real data. Agents benefit because feedback becomes more specific. Managers benefit because performance becomes easier to read. Customers benefit because teams can improve the way they answer, follow up and communicate.
Agent performance is not only about the number of calls handled. It is about activity, response speed, outcomes, follow-up quality, customer context and the ability to improve over time. Growing teams need dashboards that show both the numbers and the conversations behind them.
Agent performance analytics gives managers a clearer way to review productivity, call quality, follow-up and training needs. Utelenet connects agent scorecards, call performance metrics, AI summaries, transcription, recordings and message history in one system, so teams can improve with better information.
For sales, support and service teams, agent performance analytics is a practical way to build stronger conversations, better coaching and more confident daily management. Utelenet helps make agent performance visible, useful and connected to real customer communication.
