Millions of calls distilled
into answers.
One Platform, Every Interaction, Multiple Capabilities
Hear centralizes all your conversation data, turning every conversation into an opportunity for improvement.






"Hear has been a transformative partner for Shift, revolutionizing the way we manage customer interactions. What used to be a manual, time-consuming effort is now automated, accurate, and insight-driven. With Hear, we’ve gained both operational efficiency and deeper call compliance and quality from our representatives."
– Yuval Danin, CEO at Shift

Your Data.
Our Priority.
We believe in the importance of transparency and secure practices. That’s why we prioritize advanced security measures and a strong commitment to privacy, ensuring that your information remains safe at all times. Your trust is our top priority.
Our AI
We've created a system that checks itself, ensuring you always get accurate, reliable results. By incorporating a dual-language model (LLM) framework, one LLM functions as a judge, producing outputs while the other serves as a verifier, meticulously checking the validity and accuracy of the generated content. This mechanism not only enhances the reliability of the results but also provides a robust double-check system that safeguards against errors, ensuring that you receive high-quality information with every interaction.
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Effortlessly manage your contact center with features built for enhanced decision-making and efficiency.
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The latest industry insights to help you make the most of AI-driven innovation for contact centers.
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CVX: From Call Centers into Customer Value Exchange Hubs
Discover how the Customer Value Exchange (CVX) model is transforming call centers from cost centers into strategic hubs.
In customer service, advancements in technology—especially generative AI—are creating opportunities far beyond traditional enhancements to existing tools. These innovations allow us to take a significant leap forward, introducing new methods and unlocking fresh opportunities for businesses to drive growth. One such revolutionary approach is the Customer Value Exchange (CVX), a concept that reimagines call centers as strategic hubs of value creation, where every interaction contributes insights that help shape business decisions, optimize offerings, and foster growth.
The Evolving Role of Call Centers
Traditionally, call centers have been viewed as cost centers, focused solely on resolving customer issues and improving satisfaction scores. While service delivery remains essential, the modern call center has the potential to offer far more than just support—it can function as a strategic, insight-driven asset that fuels business growth.
Customer data and feedback are pivotal to staying competitive, companies need to leverage every customer interaction as an opportunity for learning and improvement. Customer Value Exchange (CVX) comes in as a new approach that harnesses the full potential of call centers as engines for value creation. With CVX, companies can transform every customer interaction into actionable intelligence that benefits both the customer and the business.
What is Customer Value Exchange (CVX)?
Customer Value Exchange (CVX) is a model that embodies the multi-dimensional role of call centers, capturing the reciprocal value between customers and businesses. CVX goes beyond traditional service to create a rich, ongoing exchange of information, insights, and growth opportunities. Here’s how CVX redefines the call center’s role:
Exchanging Insights: Each customer interaction provides a chance to gather insights on customer behaviors, preferences, and pain points. This intelligence helps companies understand trends, inform strategy, and make data-driven decisions. Imagine a retail call center that collects insights from seasonal customer inquiries about eco-friendly products. With CVX, these insights are shared with the marketing team, who then launches a ‘Sustainable Choices’ campaign based on clear, data-driven demand. This proactive approach can help shape not only the customer experience but also brand perception.
Understanding Customer Needs: Call centers can identify recurring customer needs, anticipate future demands, and provide feedback that leads to better, customer-driven product and service developments. A software company using CVX might notice recurring feedback on a specific feature limitation. By capturing this trend and sharing it with the product team, the company can prioritize updates that align closely with user expectations, ensuring higher product-market fit and customer satisfaction upon release.
Identifying Sales Opportunities: Beyond resolving issues, CVX emphasizes recognizing opportunities for upselling and cross-selling based on customer needs, allowing call centers to contribute to the bottom line. Consider a travel company that detects frequent questions from customers about add-on services like insurance or upgrades during trip bookings. Using CVX, the call center recognizes these as potential sales opportunities, prompting agents to offer personalized upgrades and increase revenue while enhancing the travel experience for customers.
Gathering Product Feedback: Call centers serve as real-time feedback channels, providing invaluable insights that product development teams can use to refine offerings or address common customer issues. In the consumer electronics sector, a CVX-enabled call center could identify early signs of a common product issue, such as battery life concerns for a new device. By relaying this feedback in real-time to product teams, the company can quickly address it in subsequent production batches or firmware updates, reducing churn and protecting brand reputation.
In essence, CVX creates a cycle of learning and growth. By treating customer interactions as data-rich events, businesses can fuel their strategies with information sourced directly from the individuals they serve.
How Customer Value Exchange Drives Business Growth
CVX delivers outcomes that directly support business growth, setting it apart from traditional customer service solutions. Here are the primary ways CVX impacts the bottom line:
- Accelerating Product-Market Fit: With direct insights from customer interactions, product teams can make data-driven improvements, align features with customer expectations, and ensure that offerings stay competitive and relevant.
- Boosting Revenue Through Targeted Upsells and Cross-Sells: By understanding customer needs, call centers can identify precise moments to present relevant upsell or cross-sell opportunities, turning support into sales without compromising service quality.
- Optimizing Operational Efficiency and Resource Allocation: CVX enables call centers to operate strategically, focusing on data-driven problem-solving rather than mere troubleshooting. This results in reduced operational costs and improved team efficiency as common issues are identified and resolved at the source.
- Enabling Data-Driven Decision-Making Across the Business: The insights generated through CVX benefit departments beyond customer service. Sales, marketing, product development, and R&D can all use CVX insights to refine their strategies, align with market trends, and respond swiftly to emerging customer needs.
Case Example: Customer Value Exchange in Action
Imagine a customer calling in to express dissatisfaction with a product. In a traditional model, the goal would be to resolve the issue as quickly as possible. But with CVX, the agent listens for cues about broader trends and unmet needs, gathering insights that feed directly into product development. This single interaction could influence product updates, reveal upsell opportunities, and even guide marketing campaigns targeted at similar customer segments.
Conclusion: The Future of Call Centers with Customer Value Exchange
CVX is more than a methodology—it’s a transformation that empowers businesses to maximize the value of every customer interaction. By adopting a Customer Value Exchange approach, companies can drive sustainable growth, create products that better meet customer needs, and foster stronger, more loyal customer relationships. At Hear, we’re excited to help businesses unlock the full potential of their call centers and make CVX a cornerstone of their customer strategy.
Ready to explore the CVX model for your business? Discover how Hear’s AI-driven solutions can transform your call center into a hub of insights, strategy, and value exchange.
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Unlocking the Benefits of Speech Analytics
Explore how speech analytics works, its impact on call center efficiency, and why every modern contact center needs to get on board.
For contact centers managing thousands of calls daily, each interaction is a goldmine of insight — if you know how to access it. That’s where AI-powered speech analytics platforms come in.
By automatically analyzing 100% of customer calls, speech analytics software gives businesses the ability to act on data, boost performance, and deliver better customer experiences. Whether you're trying to reduce churn, improve agent coaching, or surface upsell opportunities, speech analytics is no longer a luxury — it’s a competitive necessity.
Let’s explore how this technology works, its impact on call center efficiency, and why every modern contact center needs to get on board.
What Is Speech Analytics?
Speech analytics is a technology that converts spoken interactions into structured data. It transcribes calls, analyzes sentiment, detects key topics, flags trends, and uncovers opportunities — all at scale.
Unlike traditional call recordings that sit untouched unless escalated, speech analytics platforms analyze 100% of conversations automatically. With the help of AI and Natural Language Processing (NLP), companies can go beyond basic keyword tracking to uncover the true voice of the customer.
How Does Speech Analytics Work?
Most AI speech analytics software operates in three phases:
- Transcription – The audio is transcribed into text using automatic speech recognition (ASR).
- Analysis – The text is analyzed for patterns, including keywords, topics, customer sentiment, emotional tone, silence gaps, interruptions, and compliance violations.
- Actionable Insights – Dashboards and alerts turn raw data into insights, allowing QA teams, analysts, and managers to act instantly.
The best systems go beyond surface-level keyword spotting, enabling complex query logic, customizable filters, and integration into CRM or support platforms for seamless follow-through.
Why Is Speech Analytics Important?
Customer service teams are under pressure: high volumes, high expectations, and high costs. But many contact centers still rely on manual quality assurance — reviewing only 1–2% of calls.
Speech analytics software changes the game by allowing teams to evaluate 100% of calls instantly. It brings to light what customers are really saying, how agents are responding, and which patterns are leading to positive or negative outcomes.
This data isn't just useful for operations — it's strategic. Businesses can align products, services, and processes based on actual customer feedback, not just assumptions.
Benefits of Using Speech Analytics in Customer Service
Here are the top advantages companies see when deploying speech analytics call center platforms:
- Better customer experience (CX): Quickly identify and resolve pain points across the journey.
- Improved First Call Resolution (FCR): Spot issues that lead to multiple calls and reduce repeat contacts.
- Reduced Average Handling Time (AHT): Identify inefficiencies in agent talk tracks and streamline workflows.
- Compliance and risk monitoring: Detect script deviations, prohibited phrases, or regulatory missteps.
- Revenue growth: Uncover upsell/cross-sell opportunities and understand what drives conversion.
With AI doing the heavy lifting, support teams can move from reactive to proactive — and even predictive — customer care.
Take Action on Every Customer Call
Speech analytics isn't just about insights — it’s about action.
Whether it’s escalating urgent complaints, alerting on legal risk phrases, or flagging coaching opportunities, call center speech analytics software transforms each interaction into a trigger for smarter operations.
Teams can set up auto-alerts for key phrases (“cancel my account,” “manager,” “lawsuit”), tag trending issues, and route insights directly to relevant teams — all without listening to a single call manually.
Improve Contact Center Performance
Contact center speech analytics also enhances operational efficiency by making agent evaluation smarter and fairer.
Instead of cherry-picking a handful of recorded calls, QA teams can score every call consistently, identify coaching needs automatically, and compare agent performance over time.
With dashboards showing top performers and areas of concern, leaders can better coach, reward, and retain their talent.
Increase Customer Satisfaction with AI Speech Analytics
AI-powered speech analytics doesn’t just help teams work faster — it helps them work smarter.
By understanding patterns in customer tone, emotion, and behavior, companies can tailor responses, optimize scripts, and better meet expectations. For example:
- Customers expressing frustration early in a call? Train agents to use empathy up front.
- Long silences during payment processing? Streamline the system to reduce wait time.
- Frequent confusion about billing? Improve documentation and support flows.
These small changes, driven by speech insights, can lead to measurable gains in Net Promoter Score (NPS) and Customer Satisfaction (CSAT).
Which Businesses Can Benefit from Speech Analytics?
While call centers are the most obvious use case, speech analytics platforms can benefit a wide range of industries:
- Financial services – Detect fraud, ensure compliance, identify at-risk customers
- Telecom & utilities – Optimize service scripts, resolve billing issues, track outage trends
- Retail & ecommerce – Uncover CX insights, personalize offers, manage delivery disputes
- Healthcare – Monitor patient sentiment, improve scheduling support, ensure compliance
- Travel & logistics – Handle booking issues, track cancellations, improve satisfaction
Any business with a high volume of voice interactions can unlock hidden value with speech analytics.
What to Look for in a Speech Analytics Software
Not all platforms are created equal. Here’s what to prioritize when choosing a solution:
- Accuracy – Multilingual support, dialect handling, and instant transcription quality
- Customization – Tagging rules, keyword libraries, emotion/sentiment models
- Integration – Connect with CRMs, QA tools, analytics dashboards
- Scalability – Handle high call volumes without performance drops
- Compliance & privacy – GDPR-ready, secure, with data governance features
Ultimately, you want a speech analytics platform that turns raw audio into reliable, actionable, and business-aligned intelligence.
Contact Center Evaluation, Reinvented
Traditional QA means listening to random calls and hoping to find insights. With AI speech analytics, every single call becomes a data point — no randomness, no bias.
Evaluations become consistent, scalable, and far more accurate. Analysts can focus on trends, training gaps, and performance insights instead of tedious manual reviews.
Speech Analytics as Part of the Bigger Picture
Speech analytics is most powerful when paired with other data sources — chat logs, surveys, CRM records, and product usage.
Together, they form a 360-degree view of the customer journey, helping teams understand not just what was said, but why it matters — and what to do next.
Lower Costs, Better CX: A Win-Win
By replacing hours of manual QA with automation, businesses lower costs while improving service. Analysts can focus on strategy instead of spreadsheets, and leaders can act on instant feedback to evolve faster.
The result? More efficient support, happier customers, and a more agile organization.
Unrivaled Accuracy and Analyst Empowerment with Hear
At Hear, we’ve built a next-generation AI speech analytics platform designed for scale, speed, and accuracy.
- Automatically tag key themes, issues, and outcomes
- Set up alerts for compliance, risk, or upsell triggers
- Drill down by agent, product, or topic
- Filter data in seconds with natural language queries
- Visualize performance over time with rich dashboards
Supercharge Analyst Productivity with Hear
Our platform empowers analysts to do more, in less time.
With natural language interfaces, intuitive filters, and customizable views, even complex insights are just a few clicks away. No more static reports — just inmidiate answers at your fingertips.
The Future Is Conversational Intelligence
Your customers are already telling you what they want — you just need to listen. AI speech analytics platforms like Hear turn everyday calls into a strategic asset, helping you understand needs, improve service, and drive growth.
Ready to unlock the full value of your customer conversations?
👉 Book a free demo with Hear and see how easy it is to start listening — and acting — smarter.

AI-Driven Customer Engagement: How Contact Centers Are Transforming CX with Hear
Boost customer retention, sales, and agent performance with Hear’s AI-powered customer engagement platform.
AI-Driven Customer Engagement: How Contact Centers Are Transforming CX with Hear
Today’s customers expect more than polite agents and fast replies — they want brands to anticipate their needs, respond instantly, and personalize every interaction. Contact centers are at the heart of that challenge. They’re also at the front lines of transformation.
Enter AI-driven customer engagement: a new way of connecting with customers that blends the best of human empathy with the speed, scale, and intelligence of artificial intelligence. For contact center leaders, this shift isn’t optional — it’s foundational.
With Hear’s AI platform, brands can now move beyond manual analysis and reactive support. They can monitor 100% of interactions, surface actionable insights in real time, and proactively deliver customer experiences that drive loyalty, retention, and growth.
Let’s explore how ai powered customer engagement is evolving — and how Hear is helping contact centers lead the change.
The New Reality of Customer Engagement
Even the best agents can’t monitor thousands of calls a day, understand shifting sentiment at scale, or analyze patterns across brands, products, and teams. But AI can.
Customers no longer think in terms of channels — they think in terms of outcomes. They want to solve problems, get answers, make decisions — instantly, and on their terms. For contact centers, that means:
- Scaling without losing personalization
- Acting on data, not just collecting it
- Delivering consistency and empathy at every touchpoint
This is where AI-powered customer engagement changes the game. With Hear, AI becomes your co-pilot — not just a passive tool. It works behind the scenes to guide agents, uncover patterns, and keep every conversation on track.
What Is AI-Driven Customer Engagement?
AI-driven customer engagement refers to using artificial intelligence to personalize, automate, and optimize every stage of the customer journey. From initial inquiry to resolution, AI powers real-time responses, predictive insights, and performance feedback that traditional systems can’t match.
But AI isn’t here to replace humans — it’s here to amplify what humans do best.
In Hear’s platform, AI analyzes voice and text interactions across every customer call. It detects sentiment, flags risks, evaluates agent performance, and surfaces insights — all in real time.
This allows contact centers to:
- Preempt churn before it happens
- Recommend the right upsell during a live call
- Coach agents on the fly with contextual prompts
- Continuously improve CX based on actual behavior

How Hear Powers AI-Powered Customer Engagement
Hear was built for CX leaders who want to move fast, scale smart, and lead with intelligence. Here’s how the platform makes ai powered customer engagement real and actionable:
1. Monitor 100% of Interactions
No more random call sampling. Hear listens to every customer interaction — voice, chat, or text — and turns that data into structured insights.
2. Real-Time Agent Feedback and Risk Alerts
Supervisors and QA teams are automatically notified when a conversation involves risk, non-compliance, or poor sentiment. Agents can be coached in real time — or even self-correct on the spot.
3. Predictive Analytics and Behavioral Trends
Hear doesn’t just look backward — it looks ahead. The platform uses AI to detect patterns that predict churn, dissatisfaction, or upsell potential — and delivers these insights proactively.
4. Interactive Dashboards for Every Role
Whether you're a team lead, operations head, or VP of CX, Hear’s dashboards are customizable and chattable — meaning you can ask questions in plain English and get immediate answers.
Why Contact Centers Are Embracing AI
Hear works with companies in sectors like logistics, travel, telecom, and utilities. Across the board, we’ve seen a shift: manual listening, static QA, and lagging indicators are no longer enough.
Contact centers now want:
- Proactive issue resolution
- Faster onboarding and coaching
- Lower AHT (Average Handling Time)
- Higher FCR (First Call Resolution)
- Actionable customer sentiment data
AI delivers all of this — and it does so at scale.
Instead of waiting for escalations, CX leaders can use ai customer engagement solutions like Hear to prevent them altogether.
Real-World Use Cases with Hear
Here’s how different teams are using Hear to lead with AI:
Churn Prevention (Telco Client)
A telecom company used Hear to identify high-risk calls based on customer sentiment, language cues, and resolution patterns. They flagged these accounts proactively and introduced retention workflows — reducing churn by 12% in Q2.
Revenue Uplift (Retail Client)
One retail call center team used Hear to surface keywords like “upgrade,” “budget,” and “gift” — helping agents recognize upsell moments in real time. That small shift boosted conversion rates by 18%.
Quality Assurance (BPO Partner)
A BPO firm managing calls for multiple brands replaced random call sampling with 100% coverage. Hear’s AI scored agent performance, identified coaching moments, and automated compliance tracking — cutting QA time by 60%.
Product Feedback Loop (Travel Client)
A travel booking platform used Hear to extract trends around failed bookings, refund delays, and pricing confusion. The product team adjusted flows based on this feedback — reducing support volume by 22%.
Hyper-Personalization with AI
Customers want to feel known, not just served. Hear uses AI to personalize engagement based on:
- Conversation history
- Sentiment trajectory
- Product usage trends
- Preferred resolution paths
Whether a customer is angry, confused, or in a hurry — Hear can adapt. Agents see real-time suggestions tailored to the customer’s mood, intent, and history. Supervisors can spot empathy gaps or moments of friction.
This level of hyper-personalization is what sets modern contact centers apart.
AI-Powered Automation That Frees Your Team
Not all tasks require a human. Hear helps automate what should be automated — so your people can focus where it matters.
- Compliance scoring? Done.
- Risk monitoring? Automated alerts.
- Coaching triggers? Sent directly to managers.
- Call summaries? Generated post-call with AI.
This reduces burnout, increases consistency, and makes quality assurance scalable — even in fast-growing environments.

Overcoming the Challenges of AI Adoption
While AI offers clear ROI, implementation still requires thoughtful planning. Here are a few challenges — and how Hear helps solve them:
Data Privacy & Compliance
Hear is GDPR-compliant and offers customizable redaction, permission management, and secure logging. Your customer data stays protected.
Integration Complexity
Hear offers no-code integrations with leading CRMs, contact center software, and cloud telephony platforms. Most customers are up and running in days — not months.
Data Quality
We help you set clear benchmarks for tagging, accuracy, and annotation. Our team works with yours to align taxonomy, naming conventions, and KPIs — so insights are actionable from day one.
Why AI-Driven Engagement Is the Future — and the Now
AI in customer engagement is no longer a futuristic idea or optional add-on — it's a strategic requirement for companies that want to compete and grow in a customer-first world.
Contact centers, traditionally seen as cost centers, are being reimagined as engagement engines — places where customer insight, sales potential, and brand loyalty converge. And it’s AI that makes this transformation possible.
Here’s why AI-powered customer engagement is not just “the future” — but what leading organizations are embracing today:
Cut Operational Costs Without Cutting Corners
With AI, you’re not just automating — you're optimizing. By automatically scoring calls, flagging risks, summarizing conversations, and providing coaching insights, AI reduces manual workloads for QA, supervisors, and agents.
This means:
- Fewer hours spent on post-call analysis
- Reduced need for large QA teams
- Faster agent onboarding and lower training costs
It’s operational efficiency with intelligence, not just scale.
Improve Agent Performance — Instantly and Sustainably
AI delivers real-time feedback, detects moments where an agent may need guidance, and identifies areas for coaching long before a QA report arrives. This creates a culture of continuous improvement and boosts agent confidence.
Benefits include:
- Consistent call quality across teams
- Self-coaching for agents through live prompts
- Less reliance on manual scorecards and spreadsheets
When agents have better insights, they deliver better experiences.
Reduce Customer Churn Before It’s Too Late
Most businesses realize a customer is unhappy only after they’ve left. AI flips that script.
With Hear, you can:
- Detect early warning signs through sentiment analysis
- Flag calls where frustration, confusion, or dissatisfaction is rising
- Trigger proactive retention workflows — before a customer clicks “cancel”
Retaining an existing customer is 5x cheaper than acquiring a new one. AI gives you the time and data to act while there’s still a chance.
Increase Revenue Through Smarter Conversations
Every service call is also a sales opportunity — but only if your agents can see it. Hear’s AI surfaces buying signals, product interest, or keywords like “upgrade,” “budget,” or “discount” in real time, helping agents lean into conversion without sounding pushy.
This leads to:
- Increased upsells and cross-sells during live interactions
- Better timing for promotions and offers
- Higher revenue per call
With AI, sales doesn’t interrupt service — it enhances it.
Boost CSAT and NPS Without Guesswork
Customer satisfaction isn’t just about fast replies — it’s about being heard, understood, and helped effectively.
AI helps contact centers:
- Understand how customers feel at scale
- Track changes in sentiment over time
- Correlate behaviors (agent language, response time, resolution type) with CSAT/NPS outcomes
You move from anecdotal feedback to predictive customer insight — guiding decisions that actually move the needle.
Move From Firefighting to Forward-Thinking
Without AI, most contact centers operate reactively:
- “Why are we getting more complaints this week?”
- “Why are escalations rising in Brand B?”
- “Why is Agent X underperforming lately?”
With AI-driven customer engagement, you shift from asking why to knowing what to do next.
AI enables:
- Real-time alerts
- Automatic trend reports
- Root-cause analysis
- Cross-team insights (QA, product, sales)
You no longer manage crises — you prevent them.
Leading, Not Just Surviving
In the age of AI, doing things the “old way” is no longer sustainable — it’s risky.
The companies that adopt ai powered customer engagement today are the ones who:
- Make smarter decisions
- Move faster than competitors
- Treat contact centers as strategic assets, not cost lines
You're not just responding to customers. You're building systems that learn, improve, and grow with every conversation.
Transform Your Contact Center with Hear
At Hear, we help contact centers unlock the value of every conversation. Our AI-powered platform is built to help teams like yours:
- Turn raw calls into strategic insights
- Coach agents with real-time intelligence
- Improve resolution and reduce effort
- Move from reactive to proactive engagement
Whether you lead operations, quality, or CX — Hear gives you the clarity to act, not just analyze.
Ready to Elevate Customer Engagement?
Discover how AI-driven customer engagement can transform your contact center.
Book your personalized demo with Hear

New Product Enhancements: Smarter Search, Call History Insights, and MagicAPI for Agent Evaluation
Enhancements designed to make your workflows faster, smarter, and more efficient.
We’ve rolled out some major enhancements designed to make your workflows faster, smarter, and more efficient. If you’re dealing with large datasets, complex call histories, or agent performance tracking, these updates will make a real difference in how you extract and use insights.
Here’s what’s new:
✅ Smarter Search Bar – Find critical information faster across massive datasets.
✅ Call History Insights – Full visibility into a customer’s journey without manual digging.
✅ Agent Evaluation + MagicAPI – Seamless integration and automated insights for agent performance.
Let’s dive into the details.
Smarter Search Bar: Speed, Scale, and Precision
What We’ve Improved:
Our enhanced search bar now allows you to retrieve relevant insights more efficiently by:
- Indexing and querying a broader dataset while keeping performance fast and responsive.
- Maintaining accuracy and relevance, even when dealing with high-volume searches.
- Improving search precision to surface insights that matter, rather than returning noise.
Why This Matters?
Tech Perspective: We’ve optimized indexing and query performance, meaning searches now scale better, whether you’re filtering millions of interactions or tracking a specific keyword trend across months of data. No lag, no unnecessary compute drain.
Business Impact: When you can quickly find patterns, track customer behavior, and retrieve specific call records, you empower your teams with instant insights. This leads to:
- Better decision-making (e.g., identifying service trends before they escalate).
- Increased efficiency (less time spent hunting for data).
- More responsive customer service (agents can surface key details instantly).

Call History Insights: Full Customer Context at a Glance
What We’ve Improved:
Now, when reviewing a call summary, you can instantly access past calls from the same caller. No more manually searching or cross-referencing multiple records—everything is presented in a single view with linked interactions.
Why This Matters?
Tech Perspective: We’ve upgraded our data retrieval system to automatically associate calls based on caller identification. This means:
- Calls are linked intelligently, even across different timeframes.
- Sentiment tracking is now easier over time.
- Recurring issues can be flagged faster, reducing redundant work.
Business Impact:
- Faster resolutions – Agents and managers spend less time searching and more time solving.
- Personalized service – A full history means better context, leading to smoother customer interactions.
- Higher satisfaction rates – Customers don’t have to repeat themselves, which reduces frustration.

Agent Evaluation + MagicAPI: Smarter Performance Tracking, Less Manual Work
What We’ve Improved:
With MagicAPI integration, our agent evaluation tool now offers:
- Seamless setup – You can define evaluation criteria manually or connect MagicAPI for instant insights.
- Less maintenance – Once connected, the system continuously evaluates without extra configuration.
Why This Matters?
Tech Perspective: This integration allows agent evaluation to be handled more dynamically, using API-driven automation instead of just rule-based scoring. This reduces manual intervention and makes performance tracking smarter.
Business Impact:
- Faster onboarding.
- Accurate agent performance insights with less setup work.
- Better coaching and training through automatically surfaced insights.

These updates are designed to eliminate friction, speed up insights, and improve overall efficiency. Whether you’re optimizing search, tracking customer journeys, or evaluating agents, we want data to work for you—not slow you down.
Let us know how these improvements impact your workflows, and if you have any feature requests, we’re all ears!
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Call Resolution
This graph illustrates the outcomes of customer calls after the conversation concludes. This is key data for better visualization of completion trends.
Call Issue Analysis
This report categorizes the primary causes of problems during calls, allowing contact center managers to quickly understand and address the most common challenges their customers face.
Compliance Tracking
This graph tracks how often agents missed mentioning required information during calls. This helps identify gaps in agent compliance and areas for improvement in communication.
"The system is truly amazing. The insights it provides go far beyond what I could have imagined before we started using it."
– Nethanel Avni, Contact Center Manager at Cellcom

See what Hear can do for you.
Speak with an expert to discover how Hear can drive results for your business.