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The automation of our daily existence isn’t a surprising era: from shopping for food to the management of our social life, we easily automate a large number of tasks. Consumer experience automation is no exception. While for many, consumer experience automation is new, there are many enterprises which are leveraging the power of consumer experience (CX) automation.

The Mission to Deliver Better Customer Service

Work is moving from fixed to fluid, distributed networks, and is increasingly automated. Directly’s AHA! moment was realizing that it could bring work and automation together, rewarding people for automating their work with a royalty that incentivizes them to build better automations. At the highest level, Directly’s CXA platform is designed to help companies deliver better customer service.  

A Proactive Leader Infusing Expert Knowledge

It’s increasingly clear that the majority of customer service inquiries can be handled automatically by giving customers the tools and assistance to instantly and effortlessly resolve their problems, or by predictively identifying and fixing these issues before the customer becomes aware of them. That said, most companies today are stumbling out of the gates with early AI and automation attempts – for example,

Leveraging AI to Drive Economic Value

Antony believes AI and the gig economy will continue to transform how people and companies work in the next economy – humans will work alongside AI, powering smart, empathetic, accurate content. Directly is leading this shift by changing the way companies deliver customer service by leveraging domain experts to create support content, continuously update the content and resolve complex issues when AI can’t – a model that can be applied to any industry.  

AI – A Tool for People

Though many fear that AI could displace human workers, Directly’s model shows that for knowledge workers, AI can be a tool for people, not instead of people. If used in the right way, AI can be a boon for businesses and employees alike.  

Overcoming Business Challenges

According to a report published by

Awards and Recognitions

The company has received numerous awards and motivating customer feedback for driving excellence in the market. Some of the notables one includes: Awards •  2023 Frost and Sullivan Technology Innovation Award •  2023 AI Tech Trailblazers Award Customer, Investor and Analyst Feedback •  Alysa Taylor, Corporate Vice President of Business Applications and Global Industry at Microsoft Corp.: “Directly has helped Microsoft provide an excellent support experience to our users through a combination of AI and a community of experts, and with this new partnership, we are now enabling this same capability for our Dynamics 365 customers.” •  Adam Coccari, Sr. Manager at M12 (formerly Microsoft Ventures: “Directly has consistently been on the cutting edge of AI and customer service, and we’re thrilled with this new launch. Directly is providing Microsoft customers with seamless support based on knowledge from our community of experts, and is a great example of deploying AI in concert with humans to solve critical business problems.” •  Mila D’Antonio, principal analyst at Ovum: “Directly helps customers harness gig work models and AI to transform and scale customer service. Directly is proving that AI will become a viable option to facilitate the personalized, efficient, and frictionless experiences customers crave, and their technology enhances human interactions—it does not replace them.”  

The Future Roadmap

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Understanding Ai And Robotic Process Automation

It’s no exaggeration to say that the RPA sector – Robotic Process Automation – is a red hot market. Gartner research identifies RPA as the fastest growing sector in all of technology. Many of the top RPA companies are growing rapidly. 

Yet despite the benefits of RPA, confusion abounds in the sector. The very idea of having software robots working alongside humans is new, and some companies have struggled to get real ROI. The element of artificial intelligence raises myriad questions. To add clarity, in this webinar we’ll discuss:

Why RPA has become the fastest-growing enterprise software category.

How AI technologies are being combined with RPA, and the various impacts.

The most important attributes of intelligent automation technology in today’s market.

The remarkable future of AI and RPA.

Please join this wide-ranging discussion with three key thought leaders in the RPA sector.

Download the podcast:

Kirkwood: “So originally, we went to see Blue Prism, which is a British company, in fact, they founded, they created the RPA market and category. And then we went to see a small band, and I mean small, it was only seven people in Bucharest in Romania for a company called a Desk Over, and realized, the technology they got could actually be applicable, and so that’s what the team used, and the value of that was so great that I had a road. Well in fact, David and I had a ‘Road to Damascus’ moment and realized that this was the future of automation. Desk Over became UiPath, David set up an organization to do the implementation of RPA, I joined UiPath originally as Chief Operating Officer, and now it’s Chief Evangelist.”

“Why is it moving so fast? A, it’s luck, being in the right place at the right time, and B, it has the flexibility to allow an organization to do a lot of the transformation stuff. And we’ll be careful about what we say about the value of RPA as a transformational tool, but [companies] find it easier to do the transformation stuff, using RPA or at least, make their operations more efficient.”

Poole: “What happened with RPA was the ability to have a step change, where you could get much bigger savings for the right processes, not every process, but the right processes, you could get really big step changes. And the other reason I think an RPA is been so successful is that it’s what I call a generic tool, you can use it pretty much on any process that’s applicable for automation, you can use it in any industry and its application is really broad, you can use it, literally, anywhere that a human would be doing a manual process, you can apply RPA.”

“And I think that’s quite unique and even today as we look at the artificial intelligence space, there’s not any tool that is as broad as an RPA tool in terms of its application. And for me, that’s been the real power of RPA and the reason it accelerated so quickly, because everybody could find a use case for it, if they tried hard enough.”

Cox: The big change is around how work’s gonna happen, just going forward, so many of the boundaries are fallen down here. There used to be tight boundaries around where people work. Obviously those have gone. We’re all at home now, yeah? There were tight boundaries about when people worked. Guess what, now that we’ve all got assorted other jobs going on in our lives, like looking after our kids, those have changed and actually the boundaries around what people do have been torn up as well, and I think that’s where there’s gonna be a lot of excitement and really rapid activity around RPA and intelligent automation around COVID because as you’ve seen it, teams need to flex all around the world.

Poole: “And I think a lot of organizations have been kicked out of inactivity because there’s nothing like a good crisis to drive change and innovation. So I think we’re in that mode now where the pace of change is important and the scale of investment is also important because people are not gonna be thinking about big EP transformations or big system changes and so on.”

“So really what it comes down to is a lack of imagination as to what the art of the possible is. And I think often we find people just not ambitious enough and I think in the work that we’ve been doing with our clients around resilience and a lot of their discussions have been, “Oh, if only we’d gone a bit further. If only we’d actually completely automated the billing process rather than just part automating the billing process.”

Kirkwood: “We’re seeing an increase in the sales and in the organizations that are adopting [RPA]. What we’re tending to see is that there’s a bifurcation in the market, so those organizations that had already started and implemented RPA and internal automation or what got a called Hyper automation. They’ve seen the value of it, they’ve achieved really good returns on the investment.”

“Those organizations that haven’t started, to Dave’s point about being little more timid, those companies that are particularly more on AI rather than RPA – they haven’t achieved their returns in investment or they’re just starting, they’re putting everything on hold.”

Maguire: “Will the Microsoft purchase of self-demotive help drive RPA into smaller businesses?”

Cox: “Yeah, it’s definitely gonna drive into that. It’s gonna be talking bifurcations, there’s gonna be a really interesting bifurcation in the market around it. There’s those who are deploying RPA for transformational change and looking at the whole services and the whole end-to-end automation spectrum. I’m not sure if the Microsoft purchase is gonna have a big impact on that. But there’s the other RPA use case, “The robot for every person” kinda use case. Which is all about individual productivity and desktop productivity and lesser Microsofts are owned for yet the last 20 years and they’re gonna get real focused on that.”

Kirkwood: “First of all, I think that Microsoft moving into the market is a vindication that we’re moving in the right direction. The RPA market is still nascent, it’s still small, it’s really only taken off in the last four years, so for Microsoft to come in, make a purchase of a self-demotive and then drive into that market is a great… A great, great vindication of the potential.”

Maguire: Have there been some serious hold outs among the IT crowd, and people have looked at RPA and said, “This is not proper technology?”

Kirkwood: “Oh, absolutely yeah, I went to a Gartner conference in March 2023. The audience was fairly evenly split between those who were awfully ignorant about RPA, and most were just actively hostile. And because, why on earth use this RPA nonsense when you can do it properly using API’s?”

“Being the number one trend for 2023, that’s a massive turn-around.”

Cox: “I think there has been a lot of confusion around how AI works with RPA, and in most cases the RPA vendors in the marketplace…they’re  trying to make sure that you can integrate with the big AI providers, whether that’s AWS or Microsoft or Google.”

“So, you think about most of the AI tools that we talk about are owned by AWS, Microsoft, or Google. And really, you can use any of those things interchangeably, they are microservices that you attach to any tool that you can integrate simply with very simple coding or virtually no coding. And, RPA tools just need to be able to, one way or another, connect with those capabilities.”

“So, basically… I think wherever in the world you need to connect different technologies and you need to manage case work between RPA robots doing things which are repeatable and programmable. Any AI tools which are using especially sort of cognitive capabilities from one vendor or another, frankly.”

Kirkwood: “To put it bluntly, I got famous couple of years ago by saying that AI is nonsense, only nonsense wasn’t the word I used.” [laughter]

“So, we try to make a little bit more understandable by using words, understanding. So, around RPA, you need the things that allow you to do, as David said, automate processes end-to-end, because RPA can’t do that. Which is why Kit’s business is been so successful, it’s about orchestration.”

“But the key understandings are; visual understanding, so the system has to understand everything on the screen regardless of where it is on the screen and exactly the same way that you or I do. There is document understanding, ’cause we’re still waiting around in paper. So, it has to understand what that piece of paper is and what to do with it.  Third one is process understanding, that’s really important.”

“And last is conversation understanding. Because increasingly everyone’s using voice rather than keyboards or chatbots.”

“And so that combination, what Gartner call hyper-automation, what everyone else calls intelligent automation is our hyper intelligent automation is the combination of those things.”

COX: “So, I see a couple of things. There’s definitely gonna be more consolidation. The really important parts of the future over the next 15, 18 months, are gonna be all about pace, and really focus on rapidity to live and speed to get live.”

“So I was talking to some economists the other week about… And they produced a report that said across Europe that SMEs, mid-market, big companies, most big companies got an AI strategy. But almost no small business has an AI strategy. And my response to that was, “Well, so my girlfriend’s in a gardening business.” Yeah? She doesn’t have an AI strategy. But she does have a tool that she gives to all of her customers that they can take a photo of a plant and it uses AI to tell them what the plant is. And that’s not having an AI strategy, but that simplification makes it consumable, yeah? And that’s, yeah. I think taking AI out of the hands of the geeks and into the hands of the community. That’s where RPA’s gonna be really useful.”

Maguire: The democratization of AI and RPA.

Poole: “I am convinced that we’re gonna see the uprising of the sitting developer, so the non-technical developer that knows nothing about technology but knows about process, knows what they want, but knows nothing about technology. And I’m not sure any of the RPA firms yet are thinking about that, but I think that that is gonna be absolutely paramount here.”

“It’s not ‘do they have an AI strategy?’ They don’t know strategy. They really do not know where they’re headed. And unless you really know where you’re headed and you know what you want to achieve with technology in general, be it RPA or any other technology, you cannot be effective as an organization. And you cannot be investing wisely, because you don’t know where you’re headed. I mean, it makes sense that if you don’t know where you’re headed, you don’t know what you should be investing in.”

“So I think there’s a lack of strategy as a whole, and that’s what we’re really focused on and helping companies find their technology path through that. And at the end of the day, you’re not necessarily launching huge programs, but thinking about how do you use tools like RPA and orchestration tools to help build, in the next six months, “Can I build something or learn something, or do something that helps me learn about my future state that I’m looking for in my business?”

Kirkwood: “We had a plethora of ERP vendors, but it eventually boiled down to two, which was SAP and Oracle. I think exactly the same thing’s gonna happen within the RPA market over the next two to three years.”

“We thought that the TAM, the total addressable market was large enough to support four or five RPA vendors, because as David said, that there isn’t anywhere that RPA is not applicable if you do it properly. And [the IDC analyst] said, “No, it’s just two. There’s just you, or UiPath and Automation Anywhere, at the moment.” I think Microsoft will come in. They got a magic product that’s coming out, and I can’t tell you what the results are yet, but Microsoft is not a leader.”

“The other thing that I think is gonna happen, and I’ve been predicting this for quite awhile, is that ultimately, probably slightly longer term, all of the stuff that we’ve been describing today will disappear. It will just disappear, not because it’s not gonna get used, but because it’s gonna get used everywhere.”

“That democratization, that simplicity of use, the fact is embedded in just the way in AI, in the plant-identification that Kit mentioned. It will just become a natural part of our day-to-day lives at work and home. And I don’t think there’ll be any indication. So when we talk about a robot for every person, at the moment there’s a robot for every employee. But actually there isn’t any reason why it couldn’t be a robot for every person. Automating bits of your life at home for family and so on that you wanted to.”

“So I think that as organizations recognize that their world is radically changed, not only as a result of COVID but actually being accelerated by COVID, their digital transformation is critical. What you need, as David said, is a strategy to start with, and then RPA and intelligent automation is a tool or tools for that strategy. There is nothing spectacularly special or magical about RPA, in the same way that there is nothing special or magical about shared services and outsourcing 20 years ago. But it just makes things easier and more efficient.”

Maguire: Do you believe RPA is the best technology for companies to get started within the world of automation?

Cox: So I’m gonna say there are two routes that we see have been really successful in, and it entirely depends what your organization looks like at the point that you get going. The most important thing to do is just do something to get going, full stop, because otherwise you can just be paralyzed by, What should I do? Where shall I start?”

“It was, if you’re well-controlled, well-orchestrated across the human workforce, then you can go straight into RPA and other automation technologies ’cause you’ve got the clarity of what’s happening there. If you’re not well-controlled and managed across the human workforce then start with orchestration process mining, task mining to get that side under control ’cause then your automation will be much more successful and much more rapid.”

Maguire: is RPA going write its own RPA?

Kirkwood: “Well, it is gonna write its own RPA, but will only follow the rules that are set for it by humans.”

“Ultimately using machine learning, using other technologies, it will work out what the optimum path is through that route automatically and then write the code for that that will become the robot. So in other words, the person won’t have to do anything but they’ll just do their normal work and the system will then say… The assistant will then say, “Okay, I can automate this process for you now.” That’s self-building robots.”

Using Salesforce To Streamline Customer Service

Introduction

In today’s digital age, customer service is one of the most critical aspects of any business. Companies strive to provide their customers with the best possible experience to ensure customer satisfaction and loyalty. However, providing excellent customer service can be challenging, especially for larger organizations. This is where customer service management (CSM) software like Salesforce comes in.

Salesforce is one of the leading customer service management software solutions available in the market. It has been helping businesses of all sizes streamline their customer service operations, enabling them to provide their customers with exceptional support. In this article, we will explore the benefits of using Salesforce to streamline customer service, its competitors in this area, its pros and cons, and a best-in-class example.

Benefits of Using Salesforce to Streamline Customer Service

Salesforce is a powerful tool that provides businesses with a wide range of benefits, including −

Centralized Data Management

Salesforce helps businesses manage all customer interactions from a single platform. This makes it easier to track customer interactions, preferences, and feedback, and helps businesses gain a better understanding of their customers’ needs.

Improved Customer Engagement

With Salesforce, businesses can engage with their customers in a more personalized manner. The platform allows businesses to track customer interactions across multiple channels, such as email, social media, and phone, giving businesses a 360-degree view of their customers.

Faster Issue Resolution

Salesforce provides businesses with real-time access to customer data, enabling them to resolve issues more quickly. The platform also provides businesses with automated workflows that help them prioritize and assign tickets, ensuring that issues are resolved in a timely manner.

Increased Productivity

Salesforce helps businesses automate routine tasks, enabling customer service representatives to focus on more complex issues. This not only improves productivity but also helps businesses reduce costs and increase revenue.

Enhanced Reporting and Analytics

Salesforce provides businesses with a range of reporting and analytics tools that help them gain insights into customer behavior, customer satisfaction levels, and agent performance. This data can be used to make data-driven decisions and improve customer service operations.

Salesforce Competitors in Customer Service Management

While Salesforce is a market leader in customer service management, it does have its competitors. Some of the main competitors of Salesforce in this area include −

Zendesk

Zendesk is a cloud-based customer service software that provides businesses with a range of features, including helpdesk ticketing, live chat, and call center solutions. The platform is designed to be easy to use and can be customized to meet the specific needs of businesses.

Freshdesk

Freshdesk is another cloud-based customer service software that provides businesses with a range of features, including helpdesk ticketing, live chat, and social media integrations. The platform is designed to be easy to use and can be customized to meet the specific needs of businesses.

Microsoft Dynamics 365

Microsoft Dynamics 365 is a cloud-based CRM software that provides businesses with a range of features, including sales, marketing, and customer service. The platform is designed to be highly customizable and can be integrated with other Microsoft products such as Outlook and Excel.

Pros and Cons of Using Salesforce for Customer Service Management Pros

Easy to Use: Salesforce is designed to be user-friendly, and businesses can customize the platform to meet their specific needs.

Scalable: Salesforce is a highly scalable platform, meaning it can be used by businesses of all sizes.

Customizable: Salesforce provides businesses with a range of customization options, enabling them to tailor the platform to meet their specific needs.

Comprehensive: Salesforce provides businesses with a wide range of features, including case management, knowledge management, and customer self-service portals.

Mobile-Friendly: Salesforce is mobile-friendly, enabling customer service representatives to access customer data and respond to customer inquiries on-the-go.

Integration: Salesforce can be integrated with a wide range of third-party applications, enabling businesses to streamline their workflows and improve productivity.

Cons

Cost: Salesforce can be expensive, especially for small businesses. The platform requires a subscription, and additional features and services can add up quickly.

Complexity: While Salesforce is designed to be user-friendly, it can be complex to set up and configure. Businesses may need to invest in additional training and support to get the most out of the platform.

Customization: While Salesforce provides a wide range of customization options, businesses may need to invest in development resources to fully customize the platform to meet their specific needs.

Maintenance: Salesforce requires regular maintenance and updates to ensure it continues to function properly. This can be time-consuming and costly for businesses that don’t have dedicated IT resources.

Integration: While Salesforce can be integrated with a wide range of third-party applications, businesses may need to invest in development resources to fully integrate the platform with their existing systems.

Example: Airbnb

One of the best examples of a company that uses Salesforce to streamline customer service is Airbnb. Airbnb is an online marketplace that enables people to rent out their homes or apartments to travelers. With over 150 million users, Airbnb needed a customer service platform that could handle the high volume of inquiries and support requests they receive on a daily basis.

Airbnb chose to implement Salesforce Service Cloud to manage its customer service operations. With Salesforce, Airbnb was able to centralize all customer interactions in one platform, enabling them to track customer interactions and feedback across multiple channels, including email, social media, and phone.

Salesforce also provided Airbnb with automated workflows that helped them prioritize and assign tickets, ensuring that issues were resolved in a timely manner. This improved customer satisfaction levels and helped Airbnb build a loyal customer base.

In addition to streamlining its customer service operations, Airbnb also used Salesforce to gain insights into customer behavior and agent performance. This data helped them make data-driven decisions and improve their customer service operations over time.

Conclusion

Salesforce is a powerful tool that can help businesses streamline their customer service operations and provide their customers with exceptional support. While there are competitors in this area, Salesforce remains a market leader due to its ease of use, scalability, customization options, comprehensive features, and integration capabilities.

However, businesses need to consider the pros and cons of using Salesforce, including its cost, complexity, customization, maintenance, and integration requirements, before implementing the platform. They also need to invest in training and support resources to get the most out of the platform.

Overall, Salesforce is an excellent tool for businesses looking to improve their customer service operations and provide their customers with exceptional support. By choosing a best-in-class example like Airbnb, businesses can learn from others’ experiences and gain insights into how to use Salesforce to achieve their customer service goals.

Clg League Of Legends: Powered By Samsung Ssds

Electronic sports, or esports, isn’t just a fringe pastime for hardcore video gamers anymore. In fact, professional online gaming has exploded in recent years, with millions of people watching esports matches and tens of thousands participating in them.

SSD gaming: High-stakes demand a need for speed

One of the most popular esports contests, League of Legends, is a multiplayer, team-based online battle arena game where the goal is to destroy the other team’s base while scoring kills and collecting gold.

The league attracts players from all over the world, who vie for big cash prizes. In 2023, for example, the Counter Logic Gaming (CLG) League of Legends team competed for championship rings, medals and a shared jackpot of $2.225 million.

How over-provisioning SSDs impacts performance

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With such high stakes, it’s no wonder that having the best gaming system isn’t just a desire for esports contestants, it’s a necessity. That’s why SSD gaming is becoming an industry standard, according to Jonathon McDaniel, general manager of CLG League of Legends.

“Playing League of Legends, well, you really need a good computer,” he says. “Frame rate is really important for League of Legends, and anything from graphics cards to processors to even SSDs can really make a difference, from boot speeds to just general performance in the game. You never want to have any dropped frames or any kind of performance issues throughout your game,” McDaniel says. “Games can go for 20, 30, even 40 minutes, so you want to make sure your computer can be at its best during that whole time.”

SSDs improve gaming performance

As McDaniel points out, solid state drives (SSDs) play a critical role in esports. SSDs, unlike traditional hard disk drives (HDDs), have no moving parts. They use flash memory instead of a spinning platter and actuator arm.

Data stored in flash memory can be retrieved almost instantaneously, while HDDs have to account for rotational latency — the amount of time it takes for the arm to find the right storage sector on a spinning platter. This makes SSDs significantly faster than HDDs, with read/write speeds that are at least four times faster. SSDs with non-volatile memory express (NVMe) connections are even quicker because they link the drive directly to the computer’s PCIe lanes, boosting overall throughput.

No matter what kind of connectivity they use, SSDs’ ability to access data quickly means better frame rates, boot speeds, and overall CPU performance. This translates to games loading faster and graphics that don’t stutter or lag. With SSDs, gamers won’t find themselves stuck at overlong loading screens or moving the controller in vain while their character stands idle due to lag.

The CLG League of Legends team uses SSDs to improve their competitive performance, according to McDaniel. He also notes that Samsung SSDs are his esports SSD of choice.

“For these players, competition is what they do. They wake up every day and play the game not just to win, but to get better so that they can continue to win. You definitely need all the different things to compete at the top level, and SSDs are an important component,” he says.

Heightened gaming experience with easy installation

While Samsung SSDs are installed at the factory in many cases, some esports players, including CLG League of Legends Philippe Lavoie-Giguere, are installing their own Samsung SSDs, such as Samsung’s 980 PRO M.2 Gen4 NVMe SSD.

Installing a Samsung SSD is easy, he says, and it’s made his game play better. “I use Samsung SSDs at home and at work because they’re the most reliable brand,” he says. “We can launch our game super rapidly. We can launch all of our applications super fast. There are some games where it’s really important to have SSDs because it would load the map faster, and they could start the game before the opponent,” Lavoie–G says. “You know, we don’t waste time. We just get in our game.”

Explore Samsung’s game-ready SSDs, and get your free white paper on how over-provisioning of SSDs can improve memory performance even more.

New Study Touts Benefits Of Twitter Customer Service

Are you responding to your customers’ tweets on Twitter? If not, you could be losing out on revenue and loyalty, according to a new Twitter study.

Twitter’s study examined three industries – airlines, quick-service restaurants, and telecoms – and found that brands that were responsive to tweets from customers were more likely to see big benefits beyond just brand loyalty. It also results in:

Higher revenue potential: Responsive brands saw increases in revenue potential of 3 percent (airlines), 10 percent (telco), and 20 percent (pizza-delivery brands). In addition, responding to a negative tweet increases your potential revenue by 3x.

Higher customer satisfaction: On satisfaction surveys, customers scored responsive brands on Twitter a full point higher (3.66 vs. 2.66).

Positive word of mouth: The data showed that when businesses respond to customers via Twitter, those customers were 44 percent more likely to share that experience online and offline.

More customer recommendations: Customers were 30 percent more likely to recommend a business after receiving a response via Twitter.

Twitter noted that companies that are able to respond the fastest to consumers will see the greatest revenue impact.

Plus, customers will be more willing to buy from that brand in the future.

“When an airline responded to a customer’s Tweet in less than six minutes, the customer was willing to pay almost $20 more for that airline in the future,” according to Twitter. “Similarly, in the telco industry, customers are willing to pay $17 more per month for a phone plan if they receive a reply within four minutes, but are only willing to pay only $3.52 more if they have to wait over 20 minutes.”

Twitter recently added customer-service features to make it easier for businesses to be more responsive to customers, including:

A notation indicating whether your Twitter business account provides customer support.

The ability to inform users during which hours your company is most responsive on the platform.

A larger Direct Message button to encourage people to contact your business when they need help.

How Do Kpis Optimize Your Customer Service Efforts?

Customer service is an experiential activity. Thus it’s tough to quantify from the customer’s perspective. It can be beneficial or harmful, rapid or sluggish, useful or unhelpful, and so forth.

Organizations, at the other hand, are in a league of their own. Contact Centers may track and measure just about every variable that affects the quality of their customer service now that sophisticated customer service analytics and reporting solutions are available. Contact centers can improve their overall customer experience (CX), reduce customer churn, and increase brand loyalty by measuring key performance indicators (KPIs). The quantity of consumer data, on the other hand, can tempt CX executives to track everything, resulting in information overload and analysis paralysis.

Importance of KPIs for the customer service

Customer service representatives have their work cut out for them: they must optimize margins and decrease expenses while still providing a better degree of care that matches current customers’ expectations for rapid, personal, and effortless assistance.

It’s now well recognized that the stakes for support teams have never been higher. People are increasingly basing their purchasing decisions on the level of customer service they receive. After one bad customer service encounter, customers will cease doing business with a company.

Because support has such a significant impact on a company’s bottom and top lines, it’s vital that support leaders keep track of their support agents’ performance, identify areas for improvement and what’s working, and recognize and reward great performance. To accomplish so, certain customer service key performance indicators must be tracked on a regular basis in order to change processes or improve agent training.

When you track the right KPIs, you get an unadulterated, objective picture of your team’s performance, which increasingly has an impact on the bottom line.

You may utilize concrete data analytics to make better decisions and reduce gaps in the three critical categories outlined below when you use customer service metrics and key performance indicators (KPIs).

Team performance should be measured − Customer service metrics and key performance indicators (KPIs) quantify how well your staff handles service inquiries. It provides you with the necessary information about your team’s gray areas, as well as upgrade plans and training sessions in order to meet customer service benchmarks.

Enhance consumer loyalty − Customer satisfaction is one of the most important customer service metrics since it determines how satisfied your customers are with your service. The greater the client’s lifetime value, the higher the satisfaction score (CLTV).

Performance indicators: Leading vs. Lagging

Using performance indicators will help you figure out what to measure, how to assess it, and when to measure it, as well as provide guidance to your team. You can’t comprehend why a customer is upset, where your agents are falling behind, or how to remedy it unless you know your KPIs.

There are two types of indicators to consider when deciding which to use in your data: leading and lagging.

Leading indicators are measurements that provide an early indication of performance, allowing you to direct your team’s performance in a proactive manner. Tracking your agents’ first contact resolution rates is one example.

The measures used to quantify the entire business impact of your customer service quality are known as lagging indicators. Results take longer to assess, but these indications can help you determine how effectively you’ve met your overall objectives. CSAT scores are an example of a lagging metric.

The idea is to combine leading and trailing indicators in your calculations. To see if customer service quality is harming the company’s overall goals, you can look at overall CSAT scores (lagging) and first contact resolution rates (leading).

Metrics for Measuring Customer Service Quality

The main customer service KPIs that firms can track are listed below. These KPIs, when utilized in conjunction with one another, can provide a comprehensive picture of your performance and achievement.

Average Time to Resolve − When a customer’s problem can be resolved quickly, they are usually the happiest. This metric will show you how your performance compares to others. To get your average resolution time, add all case resolution times together and divide by the total number of customer cases.

Rates of Customer Service Abandonment − We discovered that roughly seven out of ten customers would hang up on a call or leave a chat if they had to wait an excruciating amount of time for customer service. Your call or chat abandonment rate should ideally be zero. To get this number, divide the total number of customer service questions by the number of abandoned customer service inquiries.

The score for Customer Effort (CES) − CES is a relatively new customer service measurement metric to keep an eye on. It essentially measures how much effort your clients believe they must put in to resolve an issue. The more effort that is necessary, the more aggravating the encounter becomes. A Likert scale question can be used to collect these feelings after a customer service interaction.

Rate of Customer Retention − This indicator is the polar opposite of customer churn rate, but both indicate how likely your customers are to stay with you. To calculate the retention rate, subtract the total number of new customers from the total at the conclusion of a given time period. Then divide the total number of clients you had at the beginning of the time period by the number of clients you kept.

Customer Satisfaction Score (CSAT) − Customer Satisfaction Score is a five-point scale that measures how satisfied customers are with (CSAT)

CSAT is a metric that gauges how happy your customers are after interacting with a customer care representative. You can use a Likert scale survey question to record your customer’s satisfaction level on a scale of one to five, just like you can with CES.

Time to First Reaction − Customers want immediate assistance, and you can calculate the first response time to see how quickly they’re getting it. Calculate how long it takes for a customer to contact you and for a customer care professional to respond.

Net Promoter Score (NPS) − The Net Promoter Score (NPS) is a widely used metric for assessing customer service performance and satisfaction. This form of the survey question, like CSAT and CES, can be used to gather consumer feedback: “How likely are you to suggest our brand to a friend?” High response rates suggest that your customers are happy with your company and the service they received.

Rate of Resolution − Subtract the number of unsolved instances from the total number of client inquiries, then divide by the total number of inquiries to get the overall resolution rate. The fewer issues that remain unresolved, the better your customer service is. This statistic can be tweaked by calculating the first contact resolution (FCR) rate, which identifies only situations that are resolved within the first interaction.

Sentiment Analysis − Sentiment analysis, also known as opinion mining, involves reading a customer’s language to identify if it skews positive, negative, or neutral. This is a terrific way for agents to get a quick read on consumers’ emotions and change their approach accordingly, thanks to natural language processing technology.

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