Contact Center

Safety is the New Loyalty: How Trust & Safety Shape Customer Experience in 2026

In a digital world full of choices, customers don’t just look for speed or convenience anymore.  They look for something deeper — trust.  In this episode of the Etech Leadership & CX Podcast, Jim Iyoob sits down with Andrew Kovalyov, Service Delivery Director at Contio, to explore how trust and safety are redefining customer experience in 2026.  From AI-driven moderation to smarter product design, this conversation highlights what it really takes to build customer confidence in today’s digital environments.  About the Episode   What defines a great customer experience today?  Is it speed? Convenience? Seamless design?  According to Andrew, the answer is evolving.  Customer experience is no longer just about being fast — it’s about helping users feel safe, informed, and in control.  In this conversation, Andrew shares how organizations can rethink trust and safety as a core part of CX not just a support function.  He explains why the idea of “frictionless” experiences is changing, how AI is transforming safety operations, and why transparency plays a critical role in building long-term loyalty.  Through real-world examples, Andrew breaks down how companies can design experiences that not only work well but also feel trustworthy.  This Episode Answers the Following Questions and More   How has the definition of customer experience evolved in 2026?  What is “positive friction,” and why does it matter for customer trust?  How does AI support trust and safety operations at scale?  Where is human judgment still critical in an AI-driven world?  How can organizations design safer, more trustworthy digital experiences?  Top Takeaways    Trust Drives Customer Loyalty:  Customers are more likely to stay and spend where they feel safe. Trust is no longer optional — it’s a competitive advantage.  Friction Can Build Confidence: Small pauses, when explained clearly, can increase confidence and show users that their safety matters. AI and Humans Work Together: AI helps manage scale, but human judgment is critical for context, nuance, and accountability.  Safety Must Be Built In: The most effective organizations design for safety early — not after problems arise. Alignment Creates Better Outcomes: When product, CX, and safety teams share goals, experiences become both seamless and secure.  Quotes from the Episode    “In 2026, a great interface means very little if users don’t feel safe.”  “Safety is no longer a cost center — it’s what drives long-term loyalty.”  “AI won’t replace humans. It will amplify what humans can do.”  “If you haven’t asked how a feature can be misused, you haven’t finished designing it.”  “Safety is the foundation. Trust is the result. And experience is what brings it all together.”  Meet the Leaders    Andrew Kovalyov – Service Delivery Director, CONTIO Tech  Jim Iyoob – Chief Revenue Officer, Etech Global Services | President, ETSLabs  Watch Now: Why Trust Is the New CX Differentiator  Discover how leading organizations are building customer loyalty by prioritizing trust, safety, and transparency.  Gain practical insights on designing experiences that don’t just perform but earn customer confidence.  ▶️ Watch the full episode  📢 Subscribe for more conversations on leadership, AI, and the future of customer experience    📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

Why Executive Behavior Determines Customer Experience Outcomes

Every organization has a leadership strategy. Most of them stay on paper.  In this episode of the Etech Leadership & CX Podcast, Melissa Wood sits down with Alex D. Tremble, Founder and CEO of GPS Leadership Solutions, to examine what separates executive teams that produce results from those that stay stuck.  After building his first federal executive leadership development program at age 23, and working with organizations including Walt Disney Company and Microsoft, Alex brings one consistent perspective: Leadership culture is built through behavior. Not intention.    About the Episode Why do so many organizations invest in leadership development and see little change on the front line?  Is it the wrong training? The wrong tools? The wrong people?  According to Alex Tremble, the real issue is usually earlier in the chain. What executives model, what they reward, and what they allow sets the behavioral standard for everyone below them, including the agents talking to customers.  In this conversation, Melissa and Alex examine how trust operates as an operational variable, not a soft skill; why traditional 360 assessments often produce misleading data; and what a structured approach to building executive culture actually looks like in practice.  They also discuss how the rise of AI changes the leadership behaviors that matter most, and why the ability to stop, think, and ask better questions is more valuable now than it has ever been.    This Episode Answers the Following Questions and More    How does executive behavior directly shape customer experience, even when leaders are removed from day-to-day operations?  What is the TP3 Framework, and how do Trust, Proactivity, and Productivity connect to organizational profitability?  Why do high performers leave organizations where trust is absent, and what does that cost?  What executive behaviors become more critical in an AI-enabled environment?  How do you build an executive culture using assessment, delivery, and sustained accountability?  Top Takeaways   Behavior Sets the Standard, Not Words  What leaders model carries more weight than what they announce. The frontline reflects the executive culture above it, whether that culture is intentional or not.  Trust Is an Operational Variable  When trust is absent, teams spend cognitive energy on self-protection. That drag slows decisions at every level and reaches the customer before it reaches the meeting room.  Reinforce the Right Behavior, Address the Wrong One  Both matter equally. Recognizing good performance without addressing misalignment produces inconsistent standards. What you tolerate is what you breed.  Systems Outlast Motivation  Training that produces feeling without changing behavior changes nothing. The programs that hold are built around tools, scripts, and structured accountability, not inspiration.  Understand How People Perceive You  The same message, delivered with the same tone, lands differently across team members. Knowing how you are actually perceived, rather than how you intend to come across, is the starting point for increasing influence.    Quotes from the Episode   “It is not about what is on the wall. It is about what walks down the hall.”  “If you are not willing to address the different direction conversations, other people see it and they ask: why does it matter for me?”  “Trust is the first domino. If you do not have trust, everything slows down.”  “Motivation is a feeling and feelings are fleeting. Did the fence get built? Are the cows still in the pen?”  “You said the same exact thing to three different people and they got three different interpretations. That is why perception matters more than intent.”    Meet the Leaders   Alex D. Tremble — Founder and CEO, GPS Leadership Solutions | Author of five books including “Relationships That Work” (2023) and “Unlocking the Executive Advantage”  Melissa Wood — Dean of Global Leadership Development, Etech Global Services  Watch Now: Build Leadership That Delivers Results  Learn how to align behavior, systems, and culture to create high-performing teams.  Because strong leadership is what turns strategy into execution.    📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

The Satisfaction Stagnation – Why Your AI Strategy Is Killing Your CX (And How to Fix it)

Your AI investment is growing. Your CX scores aren’t. Here’s why. Jim Iyoob and Bob Azman, Founder of InnovativeCX, break down the strategic gap between AI adoption and customer experience results — and the shift leaders need to make right now. About this episode   AI isn’t the problem. How you’re using it is. Organizations are spending more on AI than ever before — yet customer satisfaction scores remain flat, complaint volumes stay high, and loyalty is eroding. This episode explores why that gap exists and, more importantly, what leaders can do to close it. The cost-first trap Many organizations deploy AI to reduce headcount and handle volume. That mindset produces efficient interactions — but not meaningful ones. Jim and Bob explore why optimizing for cost often destroys the very experiences that drive retention. Data without direction Most companies collect more customer data than ever. Few use it to drive measurable CX improvements. This conversation examines the gap between having insights and acting on them — and what a data-informed CX strategy actually looks like. The survey blind spot Survey scores capture only a fraction of customer sentiment — and often skew toward extreme experiences. Relying on them as a primary CX metric leads to decisions built on incomplete information. Bob explains what a fuller measurement model looks like. Human plus AI, not AI instead of human The most effective CX organizations use AI to handle routine interactions at scale while preserving — and improving — human connection at critical moments. This episode covers how to design that balance intentionally.     What you’ll take away Practical answers to real CX leadership questions Each insight in this episode is actionable. Here’s a preview of what Jim and Bob cover. Why AI investments aren’t moving CX scores Technology optimized for cost reduction creates faster touchpoints, not better ones. The disconnect starts at the strategy level, not the tool level. The most common mistake in AI and CX strategy Treating AI as a workforce reduction tool strips out the human moments that build loyalty — leaving customers faster to reach but less likely to stay. How to turn data into CX improvements Insight without a decision framework changes nothing. Learn the loop that connects data collection to action to measurable outcome. Why you can’t cut your way to CX growth Cost reduction has a ceiling. Experience improvement does not. Leaders who shift from cost-first to value-first thinking unlock a different kind of growth. How to balance automation with human connection Designing intentional handoff points — where AI ends and humans begin — is the differentiator between experiences that frustrate and ones that build trust. Meet the guests Two CX leaders with decades of real-world experience   Jim Iyoob Chief Revenue Officer, Etech Global Services & President, ETS Labs Jim leads revenue strategy and AI innovation across Etech’s global operations. With over two decades in contact center leadership, he brings a practitioner’s view to the gap between AI investment and customer experience outcomes.   Bob Azman Founder, InnovativeCX | CX Leader | Author | Instructor Bob has led customer experience transformations across industries for more than 30 years. As founder of InnovativeCX, he advises leaders on building CX strategies that create measurable, lasting results — not just efficiency gains.   Common questions this episode answers What leaders are asking about AI and customer experience   Why isn’t AI improving customer experience, even with heavy investment? Most AI deployments are designed to reduce cost and handle volume — not to improve how customers feel about the brand. When the goal is efficiency rather than experience, AI optimizes the wrong outcome. Organizations that see CX improvements from AI start by defining the experience they want to create, then design AI to support that — not the other way around. What is the biggest mistake companies make when deploying AI in customer service? The most common mistake is using AI primarily as a headcount reduction tool. This approach strips out the human touchpoints — agent empathy, creative problem solving, relationship building — that are responsible for customer loyalty. The companies getting the most value from AI are using it to free their people to do more of what humans do best. Why don’t customer surveys give a complete picture of CX performance? Surveys capture only a fraction of interactions and tend to reflect extreme experiences. The vast majority of customers who had a mediocre experience will not fill out a survey — they will simply not return. Leaders who rely solely on survey data are making strategy on incomplete information. Combining surveys with interaction analytics and behavioral data provides a far more accurate view. How do you balance AI automation with human connection in customer experience? The right balance depends on the nature of the interaction. Routine and transactional queries are well-suited to AI for speed and consistency. Complex, emotional, or high-value interactions require human judgment and empathy. The key is designing deliberate handoff points so that AI handles the right moments and humans handle the rest — rather than letting automation expand by default.   Ready to turn your AI strategy into real CX results? This conversation will change how you think about AI, customer experience, and where the real opportunity sits.   📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

What’s Next for Leaders in the Age of AI?

Every leader today is talking about AI. But the real challenge isn’t technology.   It’s how leaders adapt.  In this episode of the Etech Leadership & CX Podcast, Jim Iyoob sits down with leadership advisor and author Bill Leider to explore what it truly takes to lead in a world of constant change.  After decades of working with leaders across industries, Bill shares a powerful perspective:  Transformation doesn’t begin with tools. It begins with mindset.  From how leaders think about change to how they guide their teams through uncertainty, the human side of leadership remains the most critical factor in long-term success.  About the Episode   Why do so many leaders struggle with change — even when they know it’s necessary?  Is it a lack of strategy? Skills? Technology?  According to Bill Leider, the real challenge lies deeper — in how we are wired to think and respond.  Our brains are naturally designed to avoid discomfort and seek certainty. And in a world driven by rapid innovation like AI, this often leads to hesitation, fear, or resistance.  In this conversation, Bill and Jim explore how leaders can move beyond these instincts by building self-awareness, staying curious, and learning to adapt continuously.  They also discuss how leadership today requires more than just direction — it requires trust, empathy, and the ability to guide people through uncertainty with clarity and confidence.   This Episode Anwers the Following Questions and More   Why does change often create fear and resistance?   How does the brain influence the way leaders respond to uncertainty?   Why must leaders start with themselves before driving transformation?   How can curiosity help leaders stay relevant in an AI-driven world?   What can leaders do to help teams adapt instead of feeling stuck? Top Takeaways Change Starts from Within  Leaders cannot drive transformation in others without first examining their own mindset, beliefs, and approach to change.  Fear Is a Natural Response  Our brains are wired to resist discomfort. Understanding this helps leaders manage change with more empathy and patience.  Curiosity Drives Growth  Leaders who stay curious, ask questions, and remain open to learning are better equipped to adapt and evolve.  Mindset Matters More Than Tools  Technology like AI will continue to evolve, but how leaders think and respond will determine long-term success.  Adaptability Builds Relevance  Leaders who embrace continuous learning and reinvention are more likely to stay relevant in a rapidly changing world. Quotes from the Episode   “Change begins from within. You can’t expect others to adapt if you haven’t done the work yourself.”  “Our brains are wired to avoid discomfort and change is uncomfortable.”  “Curiosity is one of the most important qualities a leader can have.”  “AI can do many things, but it cannot replace human empathy and judgment.”  “If you want to stay relevant, you have to keep learning and evolving.”   Meet the Leaders   Bill Leider: Leadership Advisor | Author of What’s Next?   Jim Iyoob: Chief Revenue Officer at Etech Global Services & President of ETS Labs  Watch Now: Lead Through Change and Reinvention  Discover how leaders can rethink their approach to change, build stronger teams, and stay relevant in an AI-driven world.  Learn how mindset, curiosity, and self-awareness can shape the future of leadership.  ▶️ Watch the full episode now   📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

CX in 2026: Moving from CRM Messes to AI Successes

Every organization wants to deliver better customer experiences. And today, new technologies are opening up exciting possibilities to make that happen.  But the real advantage comes from how well businesses prepare behind the scenes.  In this episode of the Etech Leadership & CX Podcast, Jim Iyoob sits down with Christopher Smith, Founder and Principal at Empellor CRM and author of CRM Shouldn’t Suck, to explore how organizations can move from CRM challenges to smarter, more effective customer experience strategies in 2026.  This conversation brings a practical and optimistic perspective on what leaders can do today to build stronger systems, empower their teams, and create better experiences for their customers.  About the Episode   As businesses continue to invest in new technologies, many are discovering that long-term success depends on getting the fundamentals right.  Christopher shares valuable insights from his experience working with organizations across industries, highlighting how clear strategy, reliable data, and thoughtful execution can make all the difference.  From improving data quality to simplifying customer interactions, this episode focuses on real-world approaches that help organizations move forward with confidence.  This Episode Answers the Following Questions and More   Can AI work effectively with poor or siloed data?   Why is data quality critical for customer experience transformation?   What is the biggest mistake companies make when adopting AI?   How fast is AI changing customer expectations in 2026?   What are the risks of using AI tools without proper security?   How can leaders build a strong AI strategy without overwhelming their teams?   Key Takeaways   A Strong Foundation Drives Better Results: Clean, well-organized data helps teams make smarter decisions and deliver more consistent customer experiences.  Progress Starts with Focus: Instead of trying to do everything at once, successful organizations start with a clear priority and build from there.  Customer Experience Should Guide Every Decision: Looking at every interaction through the customer’s lens helps create smoother, more meaningful experiences.  Technology Works Best with Clear Strategy: The right tools can create real impact when they are aligned with business goals and customer needs.  Security and Trust Matter More Than Ever: Protecting data and maintaining trust is essential as organizations adopt new technologies and systems.  Key Insights from the Episode   “If your data is a mess, it becomes harder to get the results you’re looking for.”   “Start small, focus on what matters most, and build from there.”   “The goal is to make every customer interaction easier and more meaningful.”   Meet the Speakers  Christopher Smith:  Founder and Principal, Empellor CRM  Jim Iyoob: Chief Revenue Officer at Etech Global Services & President of ETSLabs  Why This Episode Matters  Organizations today have a great opportunity to rethink how they approach customer experience. With the right foundation and a clear plan, businesses can create systems that not only support their teams but also deliver real value to their customers.  This episode offers a thoughtful and practical guide for leaders who want to move forward with clarity and confidence in 2026 and beyond.  Watch the Full Episode  Discover how to build stronger systems, improve customer experience, and take a more focused approach to growth.   📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

Culture Wins Championships and Customer Loyalty

Every leader talks about strategy. But the best teams in the world start somewhere else.  They start with culture.  In this episode of the Etech Leadership & CX Podcast, well-known leadership expert Don Yaeger joins Etech leaders to explore what truly separates championship teams from average ones — whether in sports, business, or customer experience.  After spending decades studying high-performing teams, Don shares a powerful truth:  Great performance doesn’t begin with strategy. It begins with culture.  From the way leaders treat their teams to how organizations serve customers, culture influences every outcome. And when leaders get culture right, performance follows naturally.  About the Episode   What makes a team truly exceptional?  Is it talent? Strategy? Technology?  According to Don Yaeger, the difference between average teams and championship teams often comes down to one powerful cultural trait: truth-telling.  High-performing teams create environments where honest feedback is encouraged and shared for the good of the entire team. In these environments, people trust each other, improve faster, and perform at a higher level.  In this conversation, Don joins the Etech leadership team to discuss how leaders can build stronger cultures, inspire employees, and create customer experiences that stand out.  Don also shares real examples from sports teams, businesses, and leadership experiences that show how culture influences performance, accountability, and long-term success.  This Episode Answers the Following Questions and More   What cultural trait separates championship teams from average ones?  Why is truth-telling essential for high-performing teams?  How does internal team culture influence customer experience?  Why do great leaders focus on curiosity and understanding people?  How can leaders create environments where employees feel valued and motivated to perform their best?  Top Takeaways   Culture Drives Long-Term Success: Organizations may achieve short-term results with strategy alone, but sustainable success comes from strong cultures built on trust and accountability.  Truth-Telling Builds Stronger Teams: High-performing teams encourage honest feedback that helps individuals and the entire organization improve.  Employees Shape Customer Experience: Customers can feel the difference between organizations that simply talk about values and those that truly live them.  Curiosity Is a Leadership Superpower: Great leaders stay curious about their teams, their customers, and the challenges they face.  Purpose Inspires Performance: When people feel connected to something meaningful, they bring more energy, commitment, and creativity to their work.  Quotes from the Episode   “Culture makes all the money. You can have the greatest strategy in the world, but without the right culture, success won’t last.”  “The number one cultural trait of championship teams is truth-telling. People share honest feedback because they want the whole team to get better.”  “Customers experience what we do to and for each other internally. The way teams treat each other shows up in the customer experience.”  “People buy from people they like. And people like people who are like them.”  “If you want to be exceptional every day, you are defying human nature — because human nature is to be average.”  Meet the Leaders   Don Yaeger: Hall of Fame Speaker | 13-time New York Times Bestselling Author | Host of the Top-Rated Corporate Competitor Podcast  Melissa Wood: Dean of Leadership Development at Etech Global Services  Jim Iyoob: Chief Revenue Officer at Etech Global Services & President of ETSLabs  Kaylene Eckels: President of Etech Global Services  Watch Now: Learn How Championship Cultures Are Built  Discover how leaders can build stronger teams, inspire employees, and create better customer experiences by focusing on culture first.  Gain practical leadership insights from real-world experience and decades of studying high-performing organizations.  ▶️ Watch the full episode now  📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

Why Culture Still Fails In The Age of AI And How Leaders Actually Change Behavior

Every organization talks about culture. Every leader talks about transformation. And now, everyone talks about AI.  Yet many contact centers still struggle with the same challenge:  Why doesn’t behavior change — even when technology, tools, and data clearly show what needs to happen?  In this episode of the Etech Leadership Table & CX Podcast, Jim Iyoob is joined by Simon Thomson, Relationship Director at Steps Drama, to explore why culture initiatives often fail and what truly drives sustainable behavior change in high-pressure environments.  This conversation moves beyond theory. It focuses on practical leadership realities, human psychology, and why development must go deeper than traditional training.  About the Episode   Technology evolves fast. Behavior change does not.  Simon shares powerful insights from over two decades of drama-based learning and organizational development, working with global enterprises, leadership teams, and thousands of frontline employees.  At the center of the discussion is a simple but transformative framework:  See It → Own It → Change It → Live It  Rather than starting with tools, models, or policies, real development begins when people clearly see their everyday reality — the pressures, conversations, emotional moments, and decision-making challenges they face daily.  Because people rarely change behavior based on instruction alone.  They change through experience, reflection, and self-awareness.  Why Behavior Change Is So Difficult    Many organizations invest heavily in training programs. But training does not always equal development.  This episode explores why traditional learning approaches often miss the mark:  • Asynchronous learning disconnected from real work • Over-reliance on checklists and compliance models • Lack of emotional preparation for real conversations • One-size-fits-all development strategies  Simon explains why experience-based learning creates stronger, longer-lasting change — especially in environments like contact centers, where employees handle complex human interactions every day.  Why This Conversation Matters Culture Cannot Be Trained — It Must Be Experienced  True culture change begins when employees recognize their own behaviors, challenges, and impact.  Training vs Development: A Critical Difference  Discover why information delivery alone rarely changes performance.  Leadership Alignment Drives Everything  Without visible leadership buy-in and role modeling, transformation efforts collapse.  Behavior Change Requires Repetition  Sustainable improvement happens through consistent reinforcement, not one-time events.  Human Connection Still Wins in the Age of AI  Technology supports performance but people drive experience.  What You’ll Learn   Why culture initiatives often fail despite strong strategies  How experience-based learning changes behavior more effectively  The See It → Own It → Change It → Live It framework  Why leadership role modeling is non-negotiable  How peer learning accelerates development  Why measurement must go beyond metrics  The power of success stories in driving change  Leadership Lessons for CX & Contact Center Leaders    This episode offers practical guidance for leaders navigating transformation:  Start with awareness, not instruction Involve frontline employees in change design Focus on development, not just training completion Reinforce behaviors consistently Align leadership actions with stated values Measure confidence, knowledge, and real impact Share real success stories across the organization  Because culture is not built through policies.  It is built through everyday behaviors. Meet the Experts   Simon Thomson – US Client Relationship Director, Steps Drama.  Jim Iyoob – Chief Revenue Officer at Etech Global Services & President of ETS Labs  Watch Now: Transform Culture Through Behavior  Learn why culture change fails and how leaders can create meaningful, lasting impact.  Gain practical insights on leadership alignment, employee development, and behavior transformation in the age of AI.  ▶️ Watch the full episode now  📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

Proving Quality at Scale – The New Standard for CX Accountability

Every contact center talks about quality, but very few can actually prove it at scale.  Most organizations still rely on outdated QA models — small sample sizes, delayed feedback, subjective scoring, and dashboards overloaded with metrics that don’t change behavior. The result? Leaders struggle to show real accountability, agents feel coached too late, and customers experience inconsistency.  In this episode of the Etech Leadership & CX Podcast, Jim Iyoob is joined by Scott Thomas, AVP, Client Support at Cox Automotive Inc with over 30 years of contact center experience, and Manu Dwievedi to explore what CX accountability truly looks like in today’s high-volume, fast-moving environment.  This conversation goes beyond theory. It focuses on how modern CX leaders are replacing checkbox compliance with real insight — and building quality programs that support customers, employees, and the business at the same time.  About the Episode   This episode dives deep into how quality and compliance must evolve as contact centers scale.  Scott shares how traditional QA programs built around a handful of monitored calls — no longer reflect reality when organizations handle millions of customer interactions each year. Instead of focusing on whether agents checked the right boxes, today’s quality programs must surface behavioral insights, customer sentiment, and patterns that leaders can act on immediately.  The discussion also explores why timing matters. Delayed feedback doesn’t improve performance — it reinforces mistakes. Real-time visibility allows agents to course-correct quickly, supervisors to coach effectively, and leaders to spot systemic issues before they impact customers.  You’ll also hear how quality data, when analyzed correctly, becomes far more than a compliance tool. It turns into a business asset — helping product teams, operations, and leadership teams identify recurring customer pain points and improve the end-to-end experience.    Why This Conversation Matters   Quality at Scale Is No Longer Optional Monitoring a few calls isn’t enough. Learn why CX accountability today requires analyzing interactions at scale — without losing context or accuracy.  Less Metrics. More Impact. Discover why overloading agents with dozens of KPIs backfires — and how focusing on a few meaningful goals drives better behavior and outcomes.  Objective Feedback Beats Subjective Scoring Understand how removing bias from quality evaluation improves trust, coaching effectiveness, and performance.  AI That Supports Humans — Not Replaces Them See how AI can remove human error, connect siloed data, and surface insights — while still preserving the human touch customers expect.  What You’ll Learn   Why traditional QA models fail in modern contact centers  How to prove quality and compliance across millions of interactions  The difference between measuring activity and measuring outcomes  Why solving customer problems matters more than handle time  How AI enables objective evaluation and real-time coaching  How better quality programs improve both CX and EX  Career Growth, Engagement, and Retention    One of the most powerful moments in this episode focuses on employee development.  Scott explains how structured career progression — clear skill paths, continuous learning, and visible growth opportunities — has helped his organization dramatically reduce attrition, even in a high-pressure contact center environment.  Rather than locking agents into repetitive roles, this approach allows employees to grow year over year, expand their expertise, and become valuable contributors across the business. The result? Higher engagement, stronger performance, and teams that want to stay and grow.  This conversation reinforces a critical truth: You can’t deliver consistent customer experience without investing in the people who deliver it.  Leadership Advice for CX Professionals   For leaders at any stage of their CX journey, this episode offers practical, experience-backed guidance:  Keep CX strategies simple and focused  Don’t try to fix everything at once — move the business forward in stages  Use partners and peers to challenge assumptions  Focus on outcomes customers care about, not vanity metrics  Start building AI understanding now — optimization is the next phase  These insights are especially valuable for emerging CX leaders looking to avoid common pitfalls and accelerate their impact.  Meet the Experts   Scott Thomas – AVP, Client Support at Cox Automotive Inc.  Jim Iyoob – Chief Revenue Officer at Etech Global Services & President of ETS Labs  Manu Dwievedi – AVP, Product Strategy & Innovation, Etech Global Services  Watch Now: Build CX Accountability That Scales  Learn how forward-thinking CX leaders are redefining quality — not as a checkbox, but as a measurable, scalable, and human-centered discipline.  Gain practical insights on quality transformation, AI readiness, leadership decision-making, and employee engagement — straight from real-world experience.  ▶️ Watch the full episode now  📢 Stay updated with more conversations on leadership, AI, and customer experience — Subscribe to the  Etech Leadership & CX Podcast. 

The Customer Experience Lie That’s Costing You Millions

Every business says customer experience matters — yet many organizations still treat it as a cost center instead of a growth driver. That disconnect is costing companies far more than they realize.  In this episode of the Etech Leadership & CX Podcast, Jim Iyoob sits down with Camila Ferreira, Global Customer Experience Leader and Strategist, to unpack one of the biggest misconceptions in CX today — the belief that customer experience lives only within customer support.  With over 20 years of experience leading CX transformations across the US, Latin America, and Europe, Camila explains why real customer experience must span the entire business journey — from sales and onboarding to service and support. When CX is isolated, growth stalls. When it’s connected, it becomes a powerful engine for revenue, retention, and loyalty.  This conversation goes beyond trends and tools. It focuses on what truly moves the needle: aligning people, processes, culture, and technology — including AI — without losing the human connection that customers and employees value most.  About the Episode   This episode explores how organizations can shift from viewing CX as a cost to treating it as a strategic advantage.  Camila shares why simply relabeling customer support as “customer experience” doesn’t solve the real problem — and how leaders can unlock far greater value by connecting every stage of the customer journey. The discussion also dives into AI adoption, explaining why technology should amplify strong processes, not mask broken ones.  You’ll also hear practical insights on why employee experience and customer experience are deeply connected — and why sustainable CX improvements can’t happen without investing in both.    Why This Conversation Matters   Rethink Customer Experience: Learn why limiting CX to support teams creates blind spots that directly impact growth.  Use AI the Right Way: Understand how to avoid AI hype and focus on readiness, data, and clear problem-solving.  Strengthen Employee Experience: See how engaged employees drive higher customer satisfaction and long-term loyalty.  Plan for Smarter Growth: Discover how breaking silos and aligning teams leads to better CX outcomes and stronger ROI.  What You’ll Learn   The biggest misconception about customer experience that costs companies millions  Why CX must be treated as a business-wide strategy, not a support function  How to prepare your organization for AI before investing in new technology  The link between employee satisfaction and customer satisfaction  Common planning mistakes leaders should avoid when budgeting for CX and AI initiatives  Meet the Experts   Camila Ferreira – Global Customer Experience Leader & Strategist  Jim Iyoob – President, ETS Labs  Watch Now: Build CX That Drives Real Value  Discover how leading organizations are moving beyond surface-level CX initiatives to build experiences that create lasting business impact.  Gain practical insights on CX strategy, AI readiness, employee engagement, and leadership — straight from real-world experience.  ▶️ Watch the full episode now  📢 Stay updated with more conversations on leadership, AI, and customer experience — subscribe to the  Etech Leadership & CX Podcast. 

Effective Use of Contact Center Quality Monitoring Metrics: Which Should You Focus on Now?

Whether you’ve utilized a contact center for your business needs, contacted one as a customer, or worked as a contact center team member, you have an idea of what to expect when it comes to measuring quality monitoring metrics. Some global best practices are aligning with what many people may think of when considering how contact centers and their team members are rated for effectiveness. Some standard metrics utilized in contact quality monitoring include how long a customer waits before their call is answered, the duration of the call, and how satisfied customers are with these interactions. While many of these recognizable metrics have been relied upon by contact centers for years, the importance of some should be reconsidered if businesses want to continue growing, evolving, and providing unbeatable customer experience. The demand for streamlined and uncomplicated customer experience continues to grow, and companies making this their focus when it comes to the benefits of contact center quality monitoring. The Importance of Deciphering the Right Metrics   Often, the reason why monitoring contact center performance doesn’t result in both team members’ efficiency and happier customers is that the right quality monitoring metrics aren’t being measured. Sometimes the results aren’t focused on as closely as others, or they are underutilized. Many contact centers rely on quality assurance managers to evaluate and score team member performance based on the average handle time of their calls or the average speed in which calls are answered. There’s no doubt these particular quality monitoring metrics are essential. Still, too large of a focus on them results in rushed calls where customer issues are left mostly unresolved on the first go-round. Focusing mainly on the speed of interactions serves to ensure things that are immensely important to customers are missed, such as displays of empathy. When a company is reliant on data gained from the wrong metrics, numbers shared on the inside may look like they’re hitting their marks while on the outside, customers feel unheard and dissatisfied. What Metrics Should Be Your Company’s Focus?   First and foremost, if you consider a good company to be made up of well-trained and valued team members serving satisfied customers, then the goal should be to focus on quality monitoring metrics aligning with that vision. Ultimately, the right parameters for gaining continuous improvement depend on your particular company, its needs, and the overarching business goals. This means there isn’t necessarily a one-size-fits-all kind of answer to which ones should be chosen for every company. However, no matter which metrics your business decides on, it’s essential to take the data provided through technology and intelligence, optimize it, and put it into an actionable plan. While focusing on metrics relaying the length of call times may be less than stellar for overall customer experience and satisfaction, they can be great for team efficiency and can’t be banished altogether. Instead of doing away with them, companies should pay equal attention to customer satisfaction-centric metrics when it comes to quality monitoring. To be effective at monitoring and providing appropriate feedback for the continued development of team members, managers must review calls and note displays of empathy and the willingness of team members to take the interaction above and beyond the basics. Some points for managers to consider may include if team members are great listeners for their customers and if they are knowledgeable and capable while working to resolve issues. Once metrics are chosen, putting the results into an actionable plan is essential to getting the most out of the time, effort, and money put into collecting data from quality assurance metrics in the first place. Reviewing team member and customer interactions, providing timely feedback and putting appropriate plans in place is how you make a change and gauge overall effectiveness. Trust Your Company’s Strengths and Rely on Experts to Fill the Gaps   Looking toward the near future, Forrester predicts more companies will feel compelled to operate their in-house contact centers rather than relying on outside partners. They also predict this could be incredibly detrimental to many businesses. Many companies will benefit from continuing to focus on what they do best. If that doesn’t already include operating and managing their contact center and customer experience, it’s likely best to seek and rely on already established experts. When seeking contact center and quality monitoring services, take into consideration what’s offered and how data is derived and disseminated. A company offering a combination of advanced technologies, artificial intelligence, and continuously developed team members ensures your company benefits from extensive data, corresponding actionable plans, and team members ready to serve customers and provide exceptional experiences. If this sounds like the type of partnership that would benefit both your business and your customers, check out the difference that Etech has to offer. Contact Etech today for additional information.

How to Build an Ideal Call Center Quality Monitoring Scorecard?

It’s crucial for call centers and QA managers to understand the Importance of using a call center QA scorecard and very few know how to build an ideal call center quality monitoring scorecard. With a successful call center monitoring strategy, companies can significantly improve customer satisfaction, employee retention, as well as their bottom line. Decision-makers can understand what does call center QA quality monitoring mean, quickly identify problems, maintain call quality standards, and improve team performance while enhancing customer satisfaction ratios. Putting in place a quality monitoring scorecard, however, can be tricky. Here is a guide to help you navigate the implementation of a functional call center monitoring scorecard strategy. Set Your Goals & Objectives What is call center quality monitoring? Most call centers have a system in place to track, evaluate and improve CX interactions, , however, every call center is unique in the way it monitors those experiences, so it’s crucial to ensure that all elements included in the scorecard are specific to your own customer and business needs, to help you measure what’s important. Ensure you know where you want to see yourself so you can create specific and actionable goals that make your support vision come to life. For instance, are you looking for ways to increase the quality of phone calls, provide faster solutions, ensure adherence to guidelines, or create a foundation for agent’s training and coaching? Accurately Define KPIs What KPIs are essential for your call center? Choosing optimal key performance indicators (KPIs) is the key in assessing call center performance. You will want to choose KPIs that align with your company’s mission, vision, and goals. Indicators that are considered to create the most significant impact on the desired goal must be prioritized. Some components to consider include customer service quality, protocol compliance, and agent’s problem-solving abilities, follow up service or call center etiquette. Make sure that the KPIs are clearly understood by everyone involved. Solicit the Input of Stakeholders Hold a meeting with your whole team to discuss the processes, strategies, and how you are going to execute the quality assurance process. See if anyone has inputs and recommendations to improve your plan. After all, agents are always on the front lines, dealing with customers daily so their experiences can provide valuable input that helps determine the benchmarks that make their customer interactions successful. When your whole team is actively involved in the process, you will have a better chance of adjusting behavior as people will show a stronger commitment to measuring up to the benchmarks they helped define. Determine the Call Center QA Monitoring Scorecard Criteria The effectiveness of your quality monitoring scorecard goes as far as the items included in the evaluation form. If you’re working with a poorly designed call scoring evaluation scorecard, you will eventually have inaccurate data that does not correctly assess agent performance or misses vital performance areas. Once you determine which metrics to hold your customer agents accountable to, creating QA criteria is easy. Develop a checklist taking into account the various metrics that suit your call center, your employees, and your company goals/values. Anywhere between 10 to 15 questions should be ideal. Instead of overwhelming your QA scorecard with dozens of questions, concentrate on the aspects of your team’s interactions that matter most to you. When it comes to the weighting criteria of each of the components, discuss how important each element is and from that determine how it should be weighted. Gather Data for Feedback QA analysts, team leaders, and analysts can gather invaluable data from a collection of scorecards, gaining a broad overview of the employees’ efficiency. From this data, you will have a better understanding of what opportunities are being missed, what areas demand improvement as well as where you are doing well. This paves the way for targeted training that builds your staff’s skills. Continually Review KPIs and Revise Your Plan as Necessary You’ll need to check your KPIs regularly to make sure your changes are maintaining an efficient and effective call center. Check your metrics and tweak them as desired to suit your workforce’s evolution and development. If the metrics on your scorecards fail to correlate with business goals, then you should consider updating them to reflect your company’s values and goals. Always solicit feedback from agents and communicate any changes you made as a result of their input. Multiple scorecards can be developed to evaluate calls, emails, live chats, social media engagements, or whatever elements you want to measure. Your call center scorecard is the foundation of your QA process, so take time to create a proper one that works perfectly for your unique business. With an effective call center monitoring system, your company not only benefits from improved quality scores but will also keep ahead of the competition and build a loyal following. To learn more about how Etech can optimize your current QA department, or help you develop/fine-tune your current QA Processes, feel free to contact us via our website.

Are Your Contact Center Quality Monitoring Parameters Effective?

Artificial intelligence is rapidly revolutionizing the world of business. Almost every process is now automated in one company or another. When it comes to contact centers, managers may even use AI for quality monitoring to provide call center quality assurance. This is just one of the many ways that businesses can ensure a consistently good customer experience. Before companies can expect customer service reps to meet quality standards, they must set quality monitoring parameters. These criteria help agents to know what expectations they need to meet. In a large contact center, however, the obvious problem is that it’s not possible to monitor every call. Here are some of the ways managers can pair artificial intelligence with a human touch to determine effective parameters. 1. Evaluate the Parameters When managers notice a quality problem, their go-to solution is often to try to improve how reality matches up with expectations. Instead, managers should first take a good look at the expectations. Parameters are not effective if they are not clear and reachable. Because these are objectives, they should meet the same criteria as SMART goals, i.e., they should be specific, measurable, attainable, relevant, and time-constrained. When looking at the different aspects of SMART goals, managers must also be realistic. When managers do not play an active role in the day-to-day activities their team handles, they may fail to do this. Other times, managers may set big goals stretched over a long period. This makes it difficult to track progress. Creating milestones can help employees to better move from Point A to B as they work hard to meet company objectives. 2. Automate Some of the Process It is impossible for a supervisor to manually go over every phone call to or from the contact center. Because of this, many companies turn to automation with the assistance of artificial intelligence. In these instances, AI can transcribe and analyze phone calls. Bots can scan the transcripts for problematic words or phrases that indicate the need for a closer look. This is where the value of human touch comes in. Supervisors will need to listen to these flagged calls to better understand what went wrong if anything went wrong at all. AI systems do make mistakes, and tone can significantly change the meaning of a sentence or word. Sarcasm, for instance, may require a human ear to detect and understand. Some AI systems are even capable of alerting supervisors of noncompliance concerns in real-time, while the customer is on the phone. This creates the opportunity for timely intervention. Supervisors can then deescalate the situation before it costs the client a valued customer. 3. Use Artificial Intelligence for Sorting Managers focus most of their attention on the phone calls and chat histories that agents have with customers. However, this is not the customer’s first point of contact with a business. The first point of contact occurs when the customer calls or initiates a chat. An automated operator or chatbot then provides the customer with options to direct them to the best possible team for solutions. Sometimes customers become frustrated at this point before ever speaking to an agent. When consumers have to navigate numeric options, 73% skip the AI operator and press zero to reach a human being. In addition to this, 55% of customers prefer to speak to a human agent, but 54% would gladly take the chatbot instead if it saved them even just ten minutes. Even so, the first contact may have also occurred at 2:30 in the morning, while the business and customer service lines were closed. If the company has a chatbot at the ready, it could help to provide solutions to the customer. Failing this, it could schedule an appointment with the customer for a representative to follow up at a later time. The Bottom Line: The Need for a Human Touch While artificial intelligence provides many initial benefits for a company, it is the human touch that makes all the difference. Yes, when it comes to solving a problem, 56% of consumers prefer to reach out via chat before calling the company. However, as illustrated above, this is often to avoid the wait time before reaching a human being. At Etech, we understand the importance of an omnichannel approach to communicate with different employees in the ways they prefer. We also appreciate that they just want to have all the queries and problems solved as soon as possible. For more information on how we combine artificial intelligence with a human touch to satisfy the needs of our clients and their customers, contact us today. This blog was earlier published on LinkedIn.

The Top 5 Contact Center Trends for 2019

Contacting a company in the hopes of resolving an issue only to receive less-than-impressive service is likely a scenario you’ve personally encountered at least once in your lifetime. It should come as no surprise that negative customer experience with a company’s contact center poses a huge threat to the consumer’s loyalty to that product or brand. Customers have more options than ever, and competition is fierce.  Most businesses understand what’s at stake each time a customer needs to reach out, so what’s being done to ensure more positive experiences? While CSAT scores and KPIs still rule for some companies, others are taking a more customer-centric approach that has managed to completely alter the landscape of what contact centers could be. Zappos is a perfect example of this. They’ve eschewed the typical game plan of emphasizing the importance of low call times by instead focusing on the opposite: high call times. Taking the pressure of finalizing customer calls as quickly as possible off the table allows agents to focus on really connecting with the customer and resolving their issues.   I call this the “love the one you’re with” approach. While many companies may not strive to recreate the Zappos customer experience model, most want to continue evolving to meet consumers’ needs in a way that builds brand loyalty. Here are five trends to consider employing to elevate the level of service offered by your business in 2019. Pick and Choose Technology and Tools Wisely  New advances appear almost daily, so realizing your company’s needs, and which tools will meet them, is key to ensuring the business isn’t left in the dust with outdated systems or weighed down with bloate, technology. Some industries, such as healthcare, are seeing benefits from utilizing newer digital care coordination technologies. Although some industries are reporting increased efficiency from new technology such as this, it doesn’t automatically mean utilizing it would bring the same benefits to your business. Think of what your employees need most to assist customers best, and then seek out solutions that will fulfill your company’s own specific set of needs.  Consider your administration staff, clients and overall ease of usability when selecting technology. Don’t Overlook the Importance of Employee Engagement With the customer experience always top of mind, it can be all too easy to overlook those who most directly influence consumer satisfaction. Your agents are invaluable assets with great insight into the needs, wants and frustrations of your customer base. It’s true that the happiness of your employees often correlates with the happiness of your customers. Ensure agents have the tools they need to be successful, including equipment, training, and thoughtful feedback. To have the largest impact, feedback shouldn’t focus solely on KPIs, but rather also on individual experiences that can be discussed.   Consider focusing more on coaching effectiveness and ensuring your leaders are equipped to transfer knowledge effectively.   Confidence through knowledge makes a world of difference in your people, and you only get it through effective training and coaching.  Your people aren’t interacting with your C-Suite every day – they are interacting with your customers!  Involve your frontline employees in CX problem-solving.  Your employees (and customers) already know everything YOU need to know – just ask them what you can do better and actively listen to the response. Fine Tune System Connectivity In today’s market, many companies want to give customers various outlets for contact.  Most brands offer options of connecting via phone, email, chat, social media and SMS.    An omnichannel solution is a key contributor to positive customer experience and low customer effort.   Best practices for applying self-service options are – Make self-serve effortless, comfortable and inviting Provide multiple options – insure self-serve is not the only option available Content consistency across all channels and refresh content frequently Ask for customer feedback about your self-serve options using surveys or other feedback tools Stop making your customers repeat themselves! Use intelligent, integrated technologies that ensure a frictionless experience and secure information pass-through. It’s frustrating for all involved, hindering the customer experience when the same information needs to be continuously repeated, and the customer journey isn’t fully known or readily available. Efficiencies improve when the systems within contact centers are easily interchangeable and communicate with each other.    Fine tuning is not a one-time event – establish a rhythm and a consistent update strategy that’s aligned with your marketing plan to make the most of your omnichannel approach. Consider the Benefits of Remote Work More and more employees yearn for work that can be completed remotely. With the benefits it can bring to a customer-focused environment, it’s in the best interest of many businesses to consider the possibilities.  Hiring more remote agents, or allowing those already employed to work away from the typical office environment not only frees up precious space in the contact center and lowers costs,  it improves productivity by an average of 24%!  Remote employees have 82% lower stress levels and 69% lower absenteeism.  Distractions like water cooler gossip, impromptu meetings, and loud colleagues are a non-issue.    Happy employees = Happy Customers and nothing have more of an impact on customer experience than agent experience! Invest in the Type of Engagements Customers Want It has long been believed that when given the option, customers do not speak to another human to resolve their issue, even though surveys continue to point to this being untrue. CIO reported that 80 % of customers who pay for TV would prefer to resolve issues via digital channels such as chat or email.  This emphasizes that many companies aren’t tuned in to the customer experience and voice of the customer. Even though it seems that most consumers still reach out through calling, other means of communicating such as chat, messaging and text to continue to experience exponential growth. Whether your focus this year will be on inbound, outbound, quality, analytics and experience management or live chat services, Etech has a wide range of solutions meant to elevate the customer experience effectively.  Contact us today

Artificial Intelligence: Streamlining Contact Center Technology

It is hard to believe it now, but artificial intelligence used to be nothing more than a futuristic dream. It was portrayed in old movies as the vehicle that would completely change the world and propel our culture to unimaginable heights. Now, artificial intelligence—the stuff of the future—is all around us, and we are still learning just how much it can benefit us. In addition to improving our daily lives by helping us find restaurants, driving us around in our vehicles, and even controlling the lights and appliances in our homes, AI is also improving the world of business in a variety of ways. Automated systems are especially helpful for call centers, and Gartner predicts that non-voice interactions in customer service settings will likely rise to 85 percent by the year 2020. Many contact centers are discovering how artificial intelligence can benefit them and help them turn a greater profit while serving customers’ needs more effectively. If your contact center does not currently make use of AI, you may be spending more than you need to and missing out on your full potential to appease the needs of your customers. Consumers are increasingly desiring self-service options, but they still want the ability to speak with a live customer service agent if needed. When you offer digital solutions that recognize and predict the needs of your customers, you create a seamless user experience. While artificial intelligence should never replace the human component of your contact center, it can be used to help busy call centers handle larger call volumes with greater efficiency. How Artificial Intelligence Drives Effortless Customer Experience With Human Touch   One of the most universal challenges experienced by businesses of all types is the constant struggle to improve the customer experience. In fact, 72 percent of businesses list customer experience improvement as their top priority, according to recent data published by Forrester. Call centers that experience a high volume of customer service calls may consistently struggle to deliver a quick and effective customer service experience. Since recent research from NewVoiceMedia reveals that companies in the United States lose approximately $62 billion each year as a direct result of poor customer service, it is imperative for companies to turn the statistics in their favor by taking actionable steps to improve the customer experience for their consumer base. One of the most effective ways to do this is by incorporating artificial intelligence into the call center customer service process. Using AI in the call center can improve customer service operations in the following ways: Improving business agility Achieving operational excellence Providing machine-centric intelligence with human-centric interaction Increasing versatility and flexibility Predicting customer behavior Maximizing available resources and reducing operating costs Delivering a consistent, reliable experience to each customer Meeting customer needs around-the-clock Creating relationship-based interactions instead of transaction-based interactions Speech recognition systems can be implemented to relieve the burden of high call volume from human agents. Such systems can also take care of after-hours phone calls when call center agents are not available. This benefit makes it possible for businesses to take care of customer needs around-the-clock, without paying call center agents for graveyard shifts or overtime. In a digital age, more customers expect businesses to be able to meet their demands 24/7, and implementing a speech recognition into your call center can help you live up to evolving consumer expectations. When integrated into the call center, advanced speech recognition systems, such as interactive voice response (IVR) systems, make it possible for customers to easily navigate through a menu of options by using their voice instead of the telephone keypad. Other call center speech recognition options include speech-to-text, voice search, call routing, and voice dialing. For many businesses, automating the telephone answering system is an efficient way to handle anywhere between 40-85 percent of incoming calls. More and more businesses are leveraging the efficiency and predictability of speech recognition systems to improve efficiency and anticipate customer needs. Achieving the ideal blend between an automated, self-service environment and live agent interaction in the call center is a challenge worth pursuing. Providing customers with the option to navigate self-service systems without taking away their ability to talk to a real person as needed comes with a variety of benefits, including cost savings, more efficient customer service and improved customer experience. How to Use Artificial Intelligence As an Effective Quality Monitoring Solution   If you were to ask 10 different companies for the definition of “excellent customer service”, you would probably get 10 different answers. There is no single, universal definition of superior customer service that can be applied to all businesses. For this reason, it can be hard to nail down the standards that you need your call center team to adhere to in order to deliver the highest level of customer satisfaction. The challenge of determining, analyzing, and enforcing behaviors and actions that meet excellent service standards for your business most likely falls on the shoulders of your quality monitoring group. Their task is a monumental one, but it is necessary for delivering a concise, uniform approach to customer service. By using updated Artificial Intelligence software, it is possible to increase the effectiveness of your quality monitoring team. The highly accurate data provided by the AI software can direct your quality monitoring team to changes that may need to be made by call center representatives. The end result is an improvement in your contact center’s processes and methods for interacting with customers. Automating your quality monitoring system can provide some of the following improvements to your business: Reduced agent effort Better sales results Compliance with regulatory requirements Improved customer experience Artificial intelligence, when used correctly in a call center, can effortlessly monitor and gather valuable data from your team’s phone calls, chats and emails. It can also assist management in identifying opportunities to improve customer satisfaction, sales conversions and processes. Speech recognition technology is capable of anticipating customer needs and quickly delivering predictions and solutions that are specific to each

5 Things You Can Do to Become a Great Leader in the Contact Center

Great leaders aren’t born that way, and most dedicate their lives to learning, applying and mastering leadership skills. When it comes to being a leader in the contact center, don’t be discouraged if authority doesn’t come naturally to you. With a little training, hard work and perseverance, you have the capacity to become a respected part of your contact center leadership. Here are five things you can do to start transforming yourself into a leader. Promote Action : Contrary to popular belief, a leader isn’t someone who bends the will of others. A leader is someone who shows the way and encourages others to make their own choices. Even if you can see that someone’s decision is likely to lead to inopportune consequences, it is important to give them the freedom to choose. This doesn’t mean you can’t give them your opinion or try to help them see a better way, but you should never coerce them into doing things your way. Recognize Achievements : Never ignore the achievements of your fellow workers. Instead, publicly recognize their good work and genuinely congratulate them for their efforts. The best leaders are those that encourage the repetition of good behavior by giving praise and encouragement when it is due. While monetary reimbursement will always be excitedly accepted by the recipient, it is not always necessary. In most cases, employees are more than content to simply be recognized for their efforts and given a verbal “thank you”. You might also choose to randomly reward a superior performer with movie tickets or a gift card to a fancy restaurant. Keep generous monetary reimbursements reserved for special occasions or very rare achievements in order to keep them from becoming mundane and expected occurrences. Take Advantage of Training Opportunities : Training opportunities most likely arise on a daily basis, but if you aren’t actively watching you can easily miss them. When you see an opportunity to train someone, consider training the entire group at the same time instead of singling out one person. You may also want to reinforce the importance of proper training by holding annual or monthly training conferences. Always maintain a positive tone and focus on the way training can elevate the entire department and give them the knowledge necessary to further their skills. Listen and Learn : A good leader recognizes that there are always opportunities to learn from others. Make it a habit to carry a notepad and paper with you, and jot down notes anytime you hear or learn something new. When you listen to others and take their words to heart, you will make a positive connection with them and enhance your leadership qualities. Learn to Act : The best leaders are better at acting than hesitating. Rather than second-guessing yourself and letting opportunities pass you by, seize the moment and take action. If you see something that needs to be done in the call center, just do it, even if it doesn’t technically fall under your list of responsibilities. Being a leader is more than holding a position of authority. In fact, it is much more about becoming than being. Become the best call center leader you can be by following these five simple leadership tips. This blog was first published on LinkedIn

How Artificial Intelligence Improves Contact Center Industry

Artificial intelligence, or AI, is the gold standard in call center quality monitoring, and for good reason. Today’s automated call center quality monitoring software is so seamless in its integration that efficiencies resulting from its use can be pressed into action quickly, fairly and effectively. Active call centers record billions of hours of customer interactions every year, and it is spectacular to consider reviewing every minute for quality assessment. AI brings the task not only into the realm of reality, but also into position as a transformational tool in improving operations, agent performance and customer satisfaction. The call centers need to understand the basic before implementing Artificial Intelligence. Let’s take a look at the benefits of working with Artificial Intelligence and the multiple advantages it brings to any operation in the call center that strives to offer the best quality assurance at every point in the customer-interaction process. AI Interaction in the Customer Service Experience One of the best aspects of AI is that it is fully customizable to call center’s needs. Not only does the software “learns” and improves over time, but as in-house processes evolves, AI can be adjusted to augment the quality monitoring standards quickly and effectively. That said, it is vital that each company assess its needs and desires before investing in AI so that it achieves the most efficient fit. Here are some of the aspects to be considered when weighing whether to take the leap into AI quality assurance software: The people factor   No computer can show human emotion, which is conceived as the major downside of AI when used in a call center. Companies don’t want their customers to feel as if they are not being heard, especially when they are frustrated or upset, because an automated system cannot properly assess and respond to human emotion. However, AI benefits the call center agents to understand the upset points where the customers want special attention. This can help the call center agents to include sympathetic words to solve the issue which the customer is facing. In addition, AI benefits the call center employees to handle some of the upset callers when a problem gets too emotional. “AI Technology Combined With Conventional People Skills Can Deliver A Seamless Customer Experience By Balance Customer Interactions With Empathy” Departmental universality   Customer service is a chief concern in every aspect of working with patrons. AI can be programmed to anticipate people needs in the case of an emergency and begin the process before the person can even sort out how to respond. Plus, AI can inform customers of possible solutions and products immediately, which demonstrate a level of urgency and personalization that will help retain customers with monthly subscriptions. Resolution-based self-service   Self-service is a tricky tool, and it doesn’t take much for callers to get frustrated with a dizzying path they don’t feel is solving their problem. But from a company’s standpoint, automated self-service is a vital tool for maximizing work done by people. When AI enters the picture, customers—especially high-value clients—can get personalized responses with language that doesn’t sound “canned” or rote. In addition, AI software is able to decide when a caller requires a personal touch, at which point it connects the caller to a live agent. AI can also read triggers that indicate a customer is a high-value client and make sure that caller is treated accordingly. All of these measures help ensure a positive customer service experience. Benefits of Automated Call Center Quality Monitoring With these customer service efficiencies in mind, the next step in the Artificial Intelligence assessment process is to consider the benefits of integrating the software into call center quality monitoring. Of course, the most obvious benefit is efficiency. Each call center generates hundreds of thousands of recorded interactions each year. The only way to effectively evaluate all those calls is with software. Here are some of the upsides to AI in quality assurance: Objectivity   When people are the ones doing the QA assessments, there will always be a risk that interactions are not being evaluated objectively. Using AI, there can be no bias based on a preference for certain agents or a dislike for others. Objectivity is built into the assessment software.   Universality : Rather than selecting a small fraction of calls for evaluation by people quality monitoring agent, AI allows every single call to be monitored in a quick and efficient manner. Every agent’s interactions can be evaluated, which means the leaders get a full picture of agents’ work and are prepared.   Immediacy   Because all calls are screened quickly, trends–both negative and positive–can be discovered quickly and adjustments can be made in an efficient manner. There is no rush in the leader’s ability to implement a correction or new innovation that helps boost customer satisfaction levels.   Performance   As a result of the three benefits above, agent performance is much more likely to improve quickly. Timely, accurate quality assurance evaluations can indicate which agents need additional training. The overall agent performance helps the leaders understand better which agent’s performance can limit the delivery of effortless customer experience. Of course, there is no AI software, to this point, that can run without the benefit of people’s insight and interaction. It is the combination of people and Artificial Intelligence that produces the most complete data, intelligent insights, and helpful recommendations. With the automated functions in the call center, it is imperative to have people to monitor the transactions for quality services. The people make the whole AI functionality work to offer exceptional customer experience to the customers. Customers have always wanted seamless and effortless form of responses for their issues. According to Forrester’s report of 2014, understanding customer emotion and empathy are the most critical components to gain successful customer experience. Here, to touch the heart of the customer services being delivered, human touch is required. When you have both, your investment in AI software can facilitate a marked improvement in agent

The Multi-Channel Contact Center: More than Just Incoming Calls

Customers have a variety of ways in which they can communicate with businesses and organizations today, and it is no longer appropriate to handle all customer service requests via a telephone call center. All businesses and non-corporate customer-facing groups should be working towards creating a multi-channel contact center; but what does that mean in practice? Assessing your call center and implementing change Most legacy call centers will be adapted for dealing with incoming telephone calls in the most efficient manner. They will often be divided into distinct departments with protocols in place to manage the distribution of calls between them. The modern multi-channel call center needs to function as a unit, with all departments following the same basic procedures and working towards the same KPIs. Business owners need to use a mixture of market research and existing data to decide on which communication channels will be provided. Then they need to source the appropriate technology for the routing of enquiries, recruit or retrain staff and define and standardize KPIs. Sourcing call center technology The choice of call center technology is crucial to the success of a business in the same way that the choice of tools and equipment is vital to a tradesperson. In the multi-channel call center, the platform chosen must clearly be able to route enquiries from multiple sources (telephone, email, fax, web chat, social media, SMS, etc.) to the relevant agent. However, there are other questions business owners will need to ask technology providers before making a decision, and these will vary depending on their business need. Some examples of pertinent questions are: Can the system recognize individual telephone numbers and relate them to customer data? Can calls be routed to an agent with the appropriate language or industry skills? Can previous call history be accessed easily? Can agent scripts be pre-populated automatically with the customer’s name? Can the provider assist with deployment and training? Will the provider provide ongoing support and ‘health checks’ to ensure the call center is optimized? The multi-channel call center agent The multi-channel call center requires a high caliber agent who can blend the traditional qualities of efficiency, communication and charisma with the flexibility and resourcefulness to source the information the customer is in need of. Agents should also be empowered to deal with the calls they are likely to face, minimizing the need for call transfers or callbacks. Customer service agents should be assessed using a mixture of live call monitoring and analysis of historical calls to ensure performance is of a consistently high standard. This is why KPIs should be standardized across the whole call center so that agents can be compared with other agents more easily and the need for training or agent replacement identified. With customers able to contact businesses at any time of the day and through multiple channels, the ability to respond promptly and completely to all communications will raise customer experience  levels and help ensure long-term customer loyalty.

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