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NICE

NICE launches Enlighten XO

960 640 Stuart O'Brien

NICE has commerced the roll out of Enlighten XO, which automatically generates insights from human conversations to build smart self-service with advanced AI.

Additionally, the platform streamlines the development of digital self-service applications by injecting data from past interactions to optimise future self-service experiences.

NICE says organisations can now take a data-driven, self-learning, empirical approach to increase self-service effectiveness and drive exceptional experiences.

In Forrester’s publication, “Predictions 2021, Customer Service,” the analysts reported, “Customer behaviors and communication preferences have permanently shifted; in 2021, brands will see a 40% increase in digital customer service.”

NICE says that in today’s digital-first world, organisations need to deliver an effortless experience on the consumer’s channel of choice to compete in a transformative industry.

The new solution analyses 100% of interactions from any platform to discover the best opportunities for automation, taking the guesswork out of self-service development with purpose-built AI models that identify customer intents, training phrases, and problem-solving activities that ensure success.

Armed with superior data and insights, organizations can accelerate their digital transformation and turn self-service into a competitive advantage.

“Soaring demand for digital service is driving organizations to accelerate their digital CX transformation and drive full resolution on their digital platforms,” said Barry Cooper, President, NICE Workforce & Customer Experience Group. “Enlighten XO makes self-service applications smarter by deriving intelligence from consumer conversations across all channels. We’re excited to introduce Enlighten XO to the market and make self-service capable of creating engaging experiences.”

NICE launches of CXone Expert following acquisition of MindTouch

960 640 Stuart O'Brien

NICE has announced the launch of CXone Expert, following the acquisition of MindTouch Inc., a San Diego-based cloud-based knowledge management software for customer experience.

CXone Expert is a comprehensive artificial intelligence (AI)-powered knowledge management solution that reduces friction by projecting personalized content to customers seeking self-service while injecting crucial insights throughout the customer journey.

CXone Expert eliminates the frustration with today’s self-service experience by infusing AI and data, turning bots into smart AI-based agents.

When communicating with customer service organizations, today’s consumers expect choice and flexibility similar to what they enjoy with friends and family. CXone Expert brings effortless self-service experiences through the digital channels customers turn to first, from mobile applications and search engines to chatbots and websites by surfacing the right content when, where and how they want it. The solution provides a seamless experience all the way to human assistance by giving agents the full context and power to see the customer’s journey and create an intelligent, constructive conversation.

“We face a new breed of next-generation consumers who live in a digital world,” said Paul Jarman, NICE CXone CEO. “They want smart self-service, and they would like to get things done digitally on their own if they can. With CXone Expert, we are helping companies apply smart self-service best practices using AI technology to meet consumer demand for faster, more convenient experiences.”

According to the 2020 NICE CXone Customer Experience (CX) Transformation Benchmark, Consumer Wave, 8 in 10 consumers are more willing to do business with companies that offer self-service options, yet only 61 percent agree that companies are offering easy, convenient self-service. When rating self-service channels, only one-third of consumers are highly satisfied.

Moreover, half of consumers who start with self-service report they are transferred to a live agent. Two-thirds of those who are transferred say they need to repeat the information they previously provided in the self-service channel. CXone Expert helps close that gap by showing agents what customers have searched for and seen prior to submitting a case, offering a truly seamless omnichannel experience.

CXone takes a holistic approach to improving both agent and customer experiences, helping organizations of all sizes modernize and remain agile and resilient in today’s increasingly digital landscape. CXone provides the most comprehensive digital-first omnichannel offering in the Contact Center as a Service market, as the first and only platform unifying best-in-class omnichannel routing, analytics, workforce optimization, automation, and artificial intelligence on an open cloud foundation.

Analyst Report: AI Helps Align Agent Performance with Customer Expectations

960 640 Abby Monaco

By Abby Monaco, Senior Product Marketing Manager, NICE

Using AI capabilities to deliver agent guidance in real time, at the exact moment it’s needed, helps contact centres maximize agent performance, delight customers and reduce costs. That’s the finding of a report by Aberdeen, which surveyed more than 300 contact center leaders across industries around the world.

Aberdeen found that the No. 1 priority of contact centres, regardless of industry, is to improve the customer experience, followed by reducing service costs to drive operational efficiency.  In the report, “The ROI of Real-time Agent Guidance: How AI Helps Align Agent Performance with Customer Expectations,” Aberdeen Vice President and Principal Analyst Omer Minkara details opportunities for improvement for contact centres considering implementing AI.

Aberdeen defines contact center AI as encompassing:

  • Artificial intelligence: Automated reasoning and decision-making capabilities based on insights uncovered through machine learning algorithms.
  • Machine learning: Technology applications that learn by themselves by analysing a pattern of historical and recent data.
  • Prescriptive guidance: Tools used to analyze structured and unstructured historical data to make predictions and suggest decision options.
  • Predictive analytics: Tools to predict future behavior of customers.
  • Automation: Tools used to automate the execution of tasks such as customer routing, agent scheduling and quality assurance.

AI enables organizations to monitor and analyse 100% of customer interactions in real time and give agents the contextual guidance they need to turn the conversation around in the moment. Supervisors gain relevant and accurate insights that help boost their productivity and inform the one-on-one coaching and guidance they offer to agents. In fact, firms using AI report a 2.9% annual improvement in the amount of time supervisors spend helping agents, compared to a 0.1% worsening by contact centers without AI capabilities.

The benefits of AI in the contact center extend to customers as well. According to the report, contact centres leveraging AI capabilities like speech analytics, text analytics and journey analytics enjoy superior CX performance improvements that include:

  • A 10.5% increase in customer retention (compared to a 3.2% improvement for contact centers not using AI).
  • A 3.5x greater improvement in customer satisfaction (10.1% vs. 2.9%).
  • An 8.8% improvement in customer effort score (compared to 1.1%).

“Modern contact centers leverage AI capabilities to take quality assurance to the next level,” Minkara wrote. “Instead of periodic reviews and subsequent agent coaching and guidance, they use AI capabilities to review all interactions in real time – using the resulting insights to provide agents with real-time contextual guidance.”

“This helps shorten the time to make necessary improvements in agent skills and activities to address evolving client needs,” he added. “It also minimizes customer frustration and churn due to inefficiencies in service delivery activities.”

Minkara concluded the report with a strong recommendation that contact centers not currently using AI to boost agent productivity and performance consider doing so. AI models can learn from and be trained using an organization’s historical interaction data, enabling quick results. Read the full report here.

How – and Why – to Analyze Sentiment

960 640 Abby Monaco

By Abby Monaco, Senior Product Marketing Manager, NICE Nexidia

“I have terrible news,” your boss wrote in an email late last night. “The project has officially been delayed.”

Without any additional context, this news could be cause for joy – you’ll no longer be working all weekend to deliver on a deadline – or significant trepidation, particularly if the delay was caused by an error you made. The same word – terrible – can be used sincerely or jokingly, with very different sentiment attached to it as a result.

Sentiment is critical when it comes to customer service, and sentiment analysis is being increasingly used to measure emotion in customer and agent interactions.  After all, it’s not always about what is said but rather how it’s said and what emotions are conveyed. As important as it is to analyze the words that are spoken or written in an interaction to gain clues as to whether a customer interaction is positive or negative, it’s even more important to analyze sentiment in agent-customer interactions.

Sentiment analysis is the practice of assessing customer input to determine attitudes and opinions about brands, products, marketing campaigns and more. It relies on natural language processing, machine learning and computational linguistics to identify, extract and quantify subjective information from phone, chat, email, social media and more. Its use is increasing in part due to the widespread shift toward omnichannel customer service. With thousands, or hundreds of thousands, of interactions over a variety of channels, contact centers simply can’t rely on manual analysis of interactions to understand how customers feel about their business.

Sentiment analysis has far-reaching applications. The Obama administration famously used it to measure public opinion in the weeks and months leading up to the 2012 presidential election, and politicians and brands alike have since embraced the approach to better understand public attitude and opinion.

In the contact center, sentiment analysis allows the organization to analyze customer interactions to:

  • Uncover areas in the business that need improvement.
  • Monitor areas critical to customer loyalty and retention.
  • Monitor agent behaviors.

“When you measure people’s reactions interacting with your support team, you get a clearer picture of their level of satisfaction,” Jia Wertz wrote in Forbes. “This allows you to address customer service issues more efficiently, based on a different type of feedback – unfiltered, less intrusive and more honest.”

There are two basic techniques for sentiment analysis:  traditional, rule-based sentiment analysis, which relies on a dictionary of words labeled by sentiment, and artificial intelligence-powered sentiment analysis, in which a machine learning model is trained to recognize sentiment – and to continue to learn and evolve.

To be truly effective, the sentiment measurement must be sophisticated enough to identify the relative emotion of agents and customers separately for more accurate results. AI-powered sentiment analysis employs language models to find positive and negative words and phrases, spoken or written, as well as AI machine learning that has been trained to predict the outcome of the interaction. Models must be trained to score words and phrases carefully within the context in which they’re spoken.

Sentiment models go beyond language with added features that create greater accuracy in sentiment scores. Among the factors they consider are:

  • Laughter detection, which can indicate a positive change in an otherwise negative conversation.
  • Crosstalk (where both parties talk over each other), which can indicate confusion or frustration.
  • Changes in pitch, tone or speaking rate, which can signal changing satisfaction during the interaction.
  • When in the interaction the words or phrases occurred; studies show that the latter portion of an interaction drives customers’ reported satisfaction more heavily than the former.
  • Interaction length; the longer the interaction, the more opportunities there are to drive a sentiment score, so effective sentiment analysis normalizes longer interactions with shorter ones.

AI-powered sentiment models also score interactions as starting positive and moving to negative, or vice versa, to allow organizations perform root cause analysis. There are many causes of positive and negative interactions, such as problems with a process or product or frustration with an agent. An interaction that begins positive and ends negative can be due to a confused agent who’s unable to help or the customer not liking the answer they get (i.e., that an overdue bill has been sent to collections).

Organizations around the world are already using sentiment analysis with advanced AI techniques to better understand the customer and act on that understanding. While sentiment models score 100% of interactions, measuring sentiment is most effective when considering the larger picture; while it’s important to identify a single interaction, particularly when you can provide real-time guidance to turn a call around, it doesn’t provide insight into trends surrounding negative calls and the topics driving them.

“As with any new technology, the value is not in the information you mine, it’s in what you do with it,” Futurum Research Analyst Daniel Newman wrote in Forbes. “The power of AI isn’t in replacing our need to understand our customers, it’s in using tools to understand them better and then act on those understandings, for the better.”

Learn more about how sentiment analytics is only one of the many ways to drive organizational success, and how AI-enabled contact center analytics transcends the limits of traditional analytics. Our easy to read guide explains how businesses using AI-enabled contact center analytics are taking action to improve customer experiences, identify complaints, prevent fraud and more.

How Analytics Can Help You Deliver Superior Customer Service

960 640 Lauren Maschio

Lauren Maschio, Product Marketing Manager, NICE

Consumers today expect world-class customer experiences, and delivering the fast, personalized service they demand requires that you build analytics into the core of your business. Analytics can deliver a competitive advantage by improving the quality of your interactions with customers, and with the contact centre the most vital point of contact between your company and your customers, that’s critically important.

Analytics encompasses far more than trends and insights, however; trends and numbers will get you nowhere unless your analytics program is driving the business outcomes you desire rather than simply identifying trends. Here’s what you need keep in mind to truly impact CX and CSAT:

Leverage the power of AI

AI technology has become the driving force behind innovation ranging from self-driving cars to e-commerce recommendations. In the contact center, the use of prebuilt AI technology for analytics has moved from a nice-to-have to an imperative due to its ability to transform customer service, both in terms of quality as well as efficiency. While machine learning examines and compares data to find patterns and explore nuances, AI takes it a step further, continually evolving in how it enables machines to behave in a way previously thought to require human intelligence.

In the contact center, that takes a variety of forms, including:

  • Autodiscovery, or the use of unsupervised machine learning to surface unknowns in interactions data, which makes it possible to focus deeper analysis on the topics that are most critical to your business.
  • Sentiment analysis, which is a proven predictive indicator of customer satisfaction such as tNPS or CSAT surveys.
  • AI behavior models, which score the agent soft-skill behaviors that influence the sentiment analysis on all interactions.

Move beyond speech analytics

Your agents’ interactions with customers are no longer limited to the phone; increasingly, customers are reaching out via chat, email, social media and more. If you really want to know what your customers are talking about, you must be analyzing interactions over all channels – text and audio.

An omnichannel approach that covers all channels of interactions enables you to analyze a variety of characteristics, including:

  • Speech time/non-speech time, or the presence and amount of speaking vs. silence in calls over a period of time. You can identify both the agents who have the highest speech or non-speech time as well as the reasons for call silence.
  • Agent response time in a chat, or how long it takes the agent to respond to a chat request.
  • Customer sentiment on social channels, including through text, hashtags and more.

Focus on outcomes, not data collection

When implemented in a way that drives outcomes rather than simply outlining trends, analytics offers tremendous potential to improve CX and CSAT, as one financial services provider found. After implementing an analytics program across its contact center, the provider discovered that agents were missing information, leading to long hold times. By training agents better, the provider was able to:

  • Decrease hold times.
  • Increase customer satisfaction.
  • Save more than $540,000 annually.

Keep evolving

If there’s one constant today, it’s that change is ongoing. Your sales and service models aren’t static, so your analytics program shouldn’t be either. Your business — and the language your agents and customers use when speaking about your unique environment, products and services – will naturally evolve, and your analytics program must be able to adapt in response.

To learn more about how analytics can give you the tools you need to drive the outcomes your business desires and the service your customers demand, download the ebook, AI-Enabled Contact Center Analytics For Dummies 

NICE unveils NTR-X for financial services

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NICE has introduced NTR-X, a fully integrated, cloud-ready omnichannel compliance recording and assurance solution.

Building on NICE Trading Recording, NTR-X captures all modalities of regulated employee communications – traditional, unified and mobile – in a single platform.

Offering a consolidated, centralized approach to managing recording estates and footprints, NICE’s NTR-X can be deployed globally while still enabling firms to adhere to local capture and storage requirements. Offering financial services firms the benefit of a central vantage point into all global regulated users and communications, NICE’s NTR-X reduces regulatory risk, removing maintenance hurdles and reducing the need for costly, dedicated, local IT resources.

Two top 10 global investment financial institutions that have already selected NICE’s NTR-X, cited its higher performance, lower total cost of ownership (TCO), smaller footprint, and its ability to simplify and centralize management of their global recording requirements.

Anna Griem, Senior Analyst, Opimasa leading capital markets consulting firm, said: “Although the rest of the world has changed, trade-related recording obligations have not. Firms are adjusting to monitor their workforces, which are now often remote. Now more than ever, firms are demanding a lot from their communications recording solutions, especially in terms of the channels they are able to cover, the flexibility of deployment options, and the option to roll out improvements and new services easily across their user base.”

Chris Wooten, Executive Vice President, NICE, added: “As the environments in which financial services and energy trading firms operate become inherently more risky, costly and complex, NICE’s passion for innovation has led us to create a one-of-a-kind compliance recording and assurance solution, offering simplified compliance for a complex world. Regardless of the communication modalities regulated employees use or where they work from, firms can cost-effectively manage their entire global recording footprint to increase compliance with key regulations. NTR-X also provides a seamless upgrade path for current NICETrading Recording (NTR) customers and a proven cloud-ready platform that speeds future migration.”

NICE helping with COVID-19 vaccine global distribution efforts

960 640 Stuart O'Brien

NICE is ramping up support for service and information centers across the entire COVID-19 vaccine supply chain with its CXone cloud platform.

The vaccine supply chain is comprised of three main critical stakeholders: vaccine manufacturers, federal and state agencies responsible for distribution and healthcare providers that are administering the vaccine.

As governments around the globe are working diligently to build and scale this supply chain, NICE says CXone is playing a critical role in eliminating bottlenecks, ensuring a smooth process and guaranteeing flawless and clear communication throughout.

Organizations are now working to quickly supply and administer tens of millions of doses worldwide to help end the devastating pandemic. They are moving quicker than ever before to produce, distribute and communicate about the vaccine and need a reliable platform to allow them to be successful.

For example, two of the leading approved vaccine manufacturers are now using CXone, dozens of state and government agencies are ramping up their capacity with CXone to prepare for increases in demand and numerous healthcare providers and pharmacies are already relying on CXone to serve their patients and customers.

“This is a historic moment, and contact centers play a critical role in efficiently distributing and building trust in the COVID-19 vaccine,” said Paul Jarman, NICE inContact CEO. “As the vaccine rollout unfolds, information and service centers across the pharmaceutical industry, health departments, government agencies, distribution companies and pharmacies need to quickly ramp up customer service as needed. CXone equips all of them with innovative cloud technology that drives flexibility, reliability and agility in the face of such a grand-scale effort.”

Given the high stakes, now more than ever, extreme agility, scalability and speed to turn-up is crucial for the information and service centers of all the parties involved in distributing, administering, and monitoring the vaccine rollout. To provide the required extreme agility, CXone customer experience cloud provides rapid deployment on a scalable, secure and reliable platform to support agencies that are serving on the front line in the fight against this global pandemic.

Contact center agents can efficiently respond to inbound inquiries about the vaccine as well as proactively push information to citizens via SMS or digital messaging. Furthermore, the increased adoption of the CXone digital self-service and chatbot technologies acts as a force multiplier scaling and simplifying service in light of the sharp increase in volumes.

Working from Home: How Blurred Boundaries Affect the Contact Center

960 640 Adam Aftergut

Part three of a three-part series by Adam Aftergut, Product Marketing Manager at NICE, on the root causes of work-from-home challenges faced by contact center agents and their employers…

As we detailed earlier in this series on work-from-home challenges, changing boundaries are having an impact on staffing and performance in the contact center. In addition to a new separation between the employee and the workplace, there’s also a blurring of boundaries in the employee’s workday: With many agents now working from home, the boundaries between work and home life have gotten a lot fuzzier.

While many agents enjoy the ability to work from home, it nevertheless creates new challenges. Living spaces have been converted into makeshift offices and interruptions are unavoidable, making it difficult or impossible to truly focus. Over time, distractions and a lack of structure can affect productivity – in fact, 78% of business leaders think hybrid and home-working models have a negative impact on productivity. Over the long term, a lack of boundaries can hamper work-life balance and ultimately also increase burnout, which has a detrimental effect on employee engagement.

Overcoming the challenges this blurring of boundaries causes for agents also overcomes them for the contact center, and vice versa, ensuring that operations run smoothly. Here’s how.

Employers need staffing agility; employees need flexibility

With many families working and learning from home simultaneously, call volumes are less predictable and don’t conform to previous contact patterns, which means that employers need to be very agile in their workforce management capabilities, tools and policies. At the same time, agents working from home need greater scheduling flexibility to deal with unexpected interruptions and obligations in the home environment – but they can also have an easier time pivoting from free time to work time in order to cover unconventional shifts. A failure to recognize these changes runs the risk of greater staffing gaps for the operation and increased employee frustration.

How technology can help you solve this challenge: Contact center leaders can leverage Intelligent Intraday Automation® for more elastic staffing. A solution that continuously analyzes fluctuating staffing needs, identifies shift change opportunities and communicates them to agents can help contact centers prevent overstaffing and understaffing. The agent can interact with such a solution in multiple ways, including through a portal for automated self-service schedule changes and automated “push” offers of preapproved schedule change opportunities sent via text message, email, in-app messaging or displayed as alert popups on the agent’s desktop.   

Employers need occupancy; employees need to avoid distractions and interruptions

Contact centers need to maintain occupancy levels, a key metric that shows the percentage of time employees are occupied, performing call center activities.  However, remote employees are more easily interrupted or distracted at home.

A University of California Irvine study found that it takes an average of 23 minutes and 15 seconds to return to a task following an interruption. This means that home-office distractions can lead to lower agent productivity, effectiveness and service quality. Agents are then unable to meet performance goals, and customer experience suffers.

How technology can help you solve this challenge: Automated KPI-based notifications alert supervisors and agents via text, email, in-app notifications or desktop alert popups when the team or individual agents have hit occupancy and other key goals – regardless of where employees are working from. Alerts and calls-to-action can be used to notify agents that they’re overrunning scheduled activities or have an upcoming event, prompt agents to switch tasks (which can improve focus while adjusting occupancy) and more.

In addition, automated self-scheduling for agents enables employees to achieve unique schedule adjustments that reduce the disruptions inherent in a work-from-home routine, while still ensuring net staffing. One such example of this is NICE Employee Engagement Manager’s (EEM’s) automated self-swap functionality. Rather than having to work through a distraction, such as a repairman working in the home or a child practicing piano, the agent can simply use a preapproved self-swap to move his or her hours around rather than having to take time off or reduce the number of hours they’re scheduled to work.

Employers need consistent team performance; employees need work-life balance

For effective customer service, contact centers need to ensure that their frontline teams operate with consistency and reliability, especially during times of instability. Supervisors and workforce management personnel need to be able to quickly communicate with agents and depend on their commitments. However, when agents feel overworked and overburdened due to a blurring of the lines between their personal and professional lives – and studies have found that the average workday has increased by 48.5 minutes since the widespread move to remote work – burnout sets in and customer service suffers. Unfortunately, just one in three employees say their employers have increased flexibility in recent months to deal with burnout, according to an Eagle Hill Consulting survey.

How technology can help you solve this challenge: Burnout soars when agents have many consecutive days of intense work without breaks or are unable to manage their work-life balance and find themselves pulled into work frequently. Automated self-scheduling, including adjustments like automated shift trades, can help. If opportunities for voluntary time off (VTO), paid time off (PTO) and self-swaps – which are preapproved based on the contact center’s needs – are unavailable in EEM,  there is still the possibility of automated shift trades, which have a neutral impact on net staffing. EEM thus provides a multilayered set of options for agents to achieve work-life balance through highly flexible and patented self-scheduling capabilities while optimizing net staffing.

In addition, communication controls help agents set boundaries between their personal and professional lives to ensure that work does not encroach. Agents can select days and times they can be contacted with scheduling offers, performance notifications and the like. They can choose both when they are willing to be contacted while “off the clock” and how (e.g., email or text message, in addition to in-app messaging and alert popups). If an agent feels the need to completely disconnect from work in order to refresh, EEM’s communications can be silenced during personal time.

Different perspectives, common solutions

With workday boundaries blurred and personal and work responsibilities increasingly intermingled, achieving both productivity and work-life balance can feel like an obstacle course each day. Over time,  the cumulative effects of work repeatedly encroaching on an agent’s personal life can cause burnout. Giving employees a sense of control with automated self-service scheduling increases their satisfaction, and doing so with an intelligent solution ensures alignment with the contact center’s operational needs to consistently improve both day-to-day and long-term operational results.

NICE Employee Engagement Manager (EEM), a key component of the NICE Intelligent WFM Suite, enables contact centers to preserve work-life boundaries in a remote employee’s workday while meeting the needs of the contact center.  The broad capabilities of EEM’s intelligent automation engine not only improve staffing levels intraday and near-term but also drive a wide variety of employee actions for improved performance. Learn more about how EEM helps contact center teams adapt to changing boundaries in the work-from-home environment.

For a more complete understanding of the work-from-home challenges faced by the contact center, see the previous two installments in this series here and here.

Do you need help in generating more efficient schedules and automating the challenge of optimizing your net staffing?

Download our complimentary eBook:  Intelligent Automation and Simulation in WFM for Dummies

This book will help you understand how using machine learning based simulation can help create schedules based on true multi-skill efficiencies based on ACD routing rules and skills not just static percentages. It will also help you see how you can automatically and proactively create offers for voluntary time off and overtime based on skills to the exact right agents, thus solving the age-old issue of net staffing optimization.

Working from home: How separation affects the contact center

960 640 Adam Aftergut

By Adam Aftergut, Product Marketing Manager, NICE

Part two in a three-part series on the root causes of work-from-home challenges faced by contact center agents and their employers…

As we noted in the first essay in this series on work-from-home challenges, fundamentally changing boundaries are having an impact on staffing and performance in the contact center. The most obvious and inherent shift is the physical separation between employees and their workplace in remote work models. In the contact center, that separation has created challenges that may seem unrelated upon first blush but are in all actuality two sides of the same coin.

While many employees view working from home as a perk, remote work nonetheless brings with it some operational challenges that weren’t present in the brick-and-mortar workplace. Remote agents often have less visibility into scheduling and performance as well as fewer opportunities for in-person recognition and professional development. These issues, in turn, translate directly into business challenges for their employer, with a direct effect on service levels, customer experience and efficiency.

Overcoming work-from-home challenges for agents also resolves them for the contact center, and vice versa, enabling seamless operation regardless of the distance between them. The following three critical work-from-home challenges are inextricably linked to the physical separation between the employee and their workplace.

Employees need schedule visibility; employers need agents to be reachable.

Many remote workers lack mobile access to their schedules, which leads to tardiness and more missed shifts, lowering adherence and increasing staffing variances. Moreover, the lack of remote agent views of schedule change opportunities (e.g., Extra Hours or Voluntary Time Off) impedes the resolution of intraday staffing variances.

In addition, in the fast-moving contact center, the surroundings and tempo keep employees on task, aware of the general arc of the day and in close touch with supervisors who can intervene or provide a gentle nudge as necessaryThese cues help agents know where they need to be, whether they’re late, what events are upcoming and whether they should move to a new activity, among other things.

How technology can help you solve this challenge:  A scheduling portal for automated self-service in a native mobile app or web-based application allows agents to access and update their schedules while remote. The portal’s intelligent automation technology also enables preapproved schedule change opportunities, giving agents unmatched transparency of their scheduling options and enabling instant changes by agents, all while ensuring that staffing needs are met. Automated push offers of schedule change opportunities also help supervisors ensure staffing optimization for contact center operations.

Employees need personalized recognition; employers need teams that are motivated.

The nature of work-from-home arrangements eliminates informal opportunities to connect with and motivate teams. When workers are remote, it is also harder to quickly recognize top performers and reward effective practices in real time. In fact, a Gallup poll found that three quarters of employees did not receive recognition or praise for doing good work in the last week, leading to lower quality and higher absenteeism.

The motivational challenge for contact centers in remote work environments is two-fold: identifying and rewarding high performers. Personalized and instant recognition of their progress, and rewards for their successes, help agents feel they are on a path toward definite goals. When employees are working on site, supervisors can easily share praise or set up a brief ad-hoc meeting during in-office hours. Agents, for their part, can shadow or receive on-the-fly input from co-workers. Other types of recognition for performance, such as preferential scheduling options, are dependent on being able to inform the agent in a timely manner.

How technology can help you solve this challenge: Automated KPI-based notifications alert supervisors or agents when the team or individual agents have hit key performance goals, such as a daily adherence target. These notifications provide instant recognition for agents and contact center teams when their performance is noteworthy, providing motivation, recognition and reinforcement. In addition, they can move agents through a multi-step progression of goals. By helping supervisors see who is performing well in the moment, they also shed a light into best practices.

Employers need to provide development opportunities; employees need self-improvement options.

In the remote workplace, employees can be harder to coach or train due to the lack of in-person guidance and timely feedback, including indications of the impact of coaching sessions. Supervisors who wish to promote self-directed corrective measures in response to negative KPI trends are faced with the challenge of notifying agents working from home promptly. As a result, performance improvements take longer and occur in less significant increments.

In addition, agents working remotely who wish to manage their own professional self-improvement are often limited in their options to receive the best information on their performance. This may be due to poor remote access or visibility, a dependence on supervisors or a lack of real-time data.

How technology can help you solve this challenge: Agents receive timely, targeted and personalized alerts of KPI trends via native mobile and web-based applications as well as via automated emailing and text messaging, identifying areas for improvement before CSAT takes a hit.  These KPI alerts can also account for correlated KPI trends, such as a spike in average handle time preceding a drop in service levels. Supervisors are also automatically informed of an agent’s metrics – if intervention is needed, the focus of improvement efforts is clear and transparent to both the agent and the supervisor.

Different perspectives, common solutions.

Each of the work-from-home challenges caused by physical separation can be viewed from two perspectives – that of the employer and that of the employee. However, if you solve the challenge for one stakeholder, then you’ve often also solved it for the other.

NICE Employee Engagement Manager (EEM), a key component of the NICE Intelligent WFM Suite, enables contact centers to bridge the gap between remote employee and workplace. The broad capabilities of EEM’s intelligent automation engine not only improve staffing levels intraday and near-term, but also drive a wide variety of employee actions for improved performance.

Learn more about how EEM helps contact center teams adapt to changing boundaries in the work-from-home environment.

The next installment in this series on work-from-home challenges takes a deeper look at another way in which professional boundaries are changing – the blurring of the distinction between work and home.

Do you need help in generating more efficient schedules and automating the challenge of optimizing your net staffing?

Download our complimentary eBook:  Intelligent Automation and Simulation in WFM for Dummies.

This book will help you understand how using machine learning based simulation can help create schedules based on true multi-skill efficiencies based on ACD routing rules and skills not just static percentages. It will also help you see how you can automatically and proactively create offers for voluntary time off and overtime based on skills to the exact right agents, thus solving the age-old issue of net staffing optimization.

The root cause of work-from-home challenges

960 640 Adam Aftergut

By Adam Aftergut, Product Marketing Manager, NICE

Toronto-Dominion Bank (TD Bank) moved more than 9,000 call center employees from 15 cities in the US and Canada to a work-from-home (WFH) model in the weeks following widespread shutdowns due to COVID-19. Company leaders told Bloomberg that the bank, which serves 26 million customers, helped ease the massive transition by giving workers who suddenly found themselves juggling work and new distractions in the home an extra 10 personal days and the ability to change schedules and do split shifts.

Like TD Bank, many organizations found that the overnight transition to employees working from home created new challenges related to staffing (who is working and when) and performance (how they’re working). In the contact center, these challenges can be traced back to a single root cause: changing boundaries.

Fundamentally, boundaries are changing for employees and teams in two key ways: 1) a separation between the employee and their workplace; and 2) a blurring of boundaries in the employee’s workday.

Remote work, by its very nature, is accompanied by a physical distance between the employee and his or her workplace. Many workers view the ability to work remotely as a job perk, with more than half seeking the arrangement as a way to improve work-life balance, according to the American Psychological Association (APA). Moreover, researchers have found that remote work, when done right, can even improve employee productivity, creativity and morale. However, the relative isolation from colleagues makes communication and collaboration more difficult, and can intensify feelings of loneliness, according to an annual survey of remote workers carried out by Buffer and AngelList.

In the contact center, this separation poses several critical WFH productivity challenges:

  • Visibility: Employers need to maintain open lines of communication with their employees, which starts with being able to reach them. To make that possible, WFH employees need visibility and active contact options.
  • Motivation: For sustained motivation, agents need to feel that they are on a path toward definite goals, with timely, personalized, and real-time recognition of their progress, and rewards for their successes.
  • Development: Employers need to periodically help their employees develop professionally or to correct non-productive behavior with targeted interventions or guidance; this enables employees to self-improve while working at home.

Agents and their supervisors are also facing new challenges due to the blurring of the boundary between work and home. As the dining room table doubles as an office, it can be hard for employees to separate their personal and professional lives.

“In this new work-from-home reality that we’re living in, it’s particularly challenging for segmentors, people who like to keep a sharp line between work and home,” Wharton management professor Nancy Rothbard told Forbes.

On the one hand, remote work can lead to the expectation that an employee will be available at all times. On the other, disruptions run rampant; researchers have found that it can take an employee an average of 23 minutes and 15 seconds to fully resume the previous task following a disruption.  As contact centers moved their agents to a WFH model, we saw a 400% increase in the use of self-service scheduling to better balance work and home commitments, while meeting the needs of the organization.

In the contact center, the blurring of the distinction between work and the rest of life when agents work from home directly causes challenges in three key areas:

  • Staffing agility: Employers need to be able to respond quickly to changing customer demand, while employees need more flexible scheduling options and the tools to make last-minute changes.
  • Occupancy: Employers need to maintain optimal occupancy levels, a key KPI for many contact centers, while also ensuring that agents are focused on the task at hand. Yet, employees are more easily interrupted and distracted while working at home.
  • ConsistencyEmployers need to ensure that teams operate with consistency and reliability, especially during uncertain times. WFH employees tend to be less consistent and more unreliable due to the needs of the home, as well as to a higher rate of burnout. A recent report found that one-fourth of US employees are currently experiencing burnout, much of which can be linked to the lack of work-home boundaries.

Our professional boundaries have changed indelibly. And we can expect the challenges this has created to persist: 74% of CFOs who were surveyed recently said they intend to make remote work permanent for some employees, according to Gartner. These challenges can be addressed from the perspective of the employer or the agent, as resolving them for one invariably resolve them for the other.

Learn more about how to address WFH challenges in the two upcoming blogs in this series on their root causes, the separation between employees and their workplaces and the blurring of boundaries in during the home-based workday. You can also find out more about how TD Bank helps its contact center agents independently manage their schedules by reading our case study.

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