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“Your Call May Be Recorded…” But Who Listens?

How many times have you contacted a call center only to be greeted with an automated voice that says, “This call may be recorded for training purposes”? Recording inbound calls have become routine. However, does anyone really use these recordings? Do they really have sufficient value for training purposes to sift through every call, or is there more to be gained from customer response transcripts?

Smart call centers are using call recording to identify problems with customers and improve their products and operations. You can only gain so much value from recorded calls for customer service training, but there is a wealth of data to be mined from call recording combined with customer survey data. Most call centers don’t bother to sift through call recording data because it is too time consuming and expensive.

Speech to Text Yields a Wealth of Data

A study by the Customer Contact Council showed that customer loyalty is built by providing seamless interactions and making the customer work less to get what they want. Trying to exceed customer expectations could be an impossible task, but the research shows that if you can meet the expectations of the customer experience you are well on your way.\

When a customer reaches out to the call center, it means they need help so the level of customer satisfaction is already dropping. Call center interactions are when you talk to customer when they have an issue. Rather than focusing on using the exchange to train reps to deal with problems that call center exchange could help identify issues you can eliminate in the future.

What is surprising is how few brands actually use recorded calls to learn more about their customers. By converting calls into transcripts it’s a relatively simple matter to apply text analytics application to identify key themes, and sentiment to identify opportunities to improve the customer experience in your call center interaction

When you take customer call transcripts, operational data, survey data, and other data sources, such as sales reports or call volume, you can learn a lot about what your customers expect from your brand. Once you start transcribing and archiving customer call center conversations you have a rich data repository that can be integrated with text analytics to power CX reporting.

The first step is work with a partner who can help you understand the quality of your voice recordings, and pilot a process to transcribe voice data to convert them into a data format that is searchable and machine readable for artificial intelligence. The faster you can convert speech to text, the sooner it has tangible value.

Making Call Recordings Actionable

Speech-to-text technology has advanced to the point where audio recordings can be transcribed automatically making them easy to archive and easier to search and analyze quickly to highlight customer issues.

Call transcriptions yield even more insight when coupled with IVR survey open ends. Research shows that consumers prefer to respond to IVR surveys delivered using the same channel. Using open-ended voice surveys that can be transcribed along with the call center exchange even more about customer perception and CX. Combining best of breed ASR transcription and analytics resulting in data presented in a form that can support customer experience policy and products and tools to enhance agent performance.

By combining IVR voice survey data resulting with call recording analytics, you have the opportunity to understand the root causes for low NPS and brand churn.   The combination of survey experiential data and recording analysis also can become a predictor or NPS.

It’s time that all brands started using those call center recordings to actually listen to customers and hear what they have to say. An archive of transcribed customer calls can be invaluable for guiding company strategy and learning more about brand perception. When coupled with analytics, call center conversations can be an incredibly powerful tool that improves CX and promotes customer loyalty by making the call center experience seamless.

The Tic-Tac-Toe of Experiential and Operational Data

When evaluating  customer experience you need to Integrate and assess both operational data (O-data) and experiential data (X-data). While many organizations are rich in operational data, few have sufficiently acquired and utilized experiential data, yet this X-data is critical to enabling today’s companies to be disproportionately rewarded for delivering great customer service. To get a true understanding of customer service and customer satisfaction, you need to insure the organization is careful collecting and report both operational and experiential data findings to see whether your operation has happy customers and you are truly competitive.

Nowhere in the organization is the need for operational and experiential data to converge than in the call center operations. Within the call center you have a plethora of operational information – number of consumer calls, wait time, abandoned calls, call resolution, length of the call, etc. However, access to experiential data is non-existent or extremely limited and often difficult to analyze. Experiential data tradition is collected through post-call surveys utilizing both open-end and closed-end data. Additionally many call centers record agent conversations, however this qualitative data asset has been extremely underutilized for CX purposes.  

X + O = More Complete Customer Picture

In most organizations, the operational and experiential data are silo’d. Call center operational data is typically used for agent training and to assess call center efficiency to improve performance. This operational data is giving insight on the past operational performance, looking backwards. Experiential data is used to assess customer experience as a means to better understand the interaction with agents and the company’s policies and products and their impact on customer loyalty and sentiment. Experiential data is the best indicator or future brand performance, thus its a forward performance indicator.  If you don’t integrate operational and experiential data in your CX assessment you are only getting part of the customer picture. As Ryan Smith, CEO of Qualtrics, explains it, the operational data tells you what happened but the experiential data tells you why it happened.

Customers have come to expect real-time response from brand interaction, and integration of operational and experiential data has to be delivered in real time to keep pace. Operational data represents the past, what transpired, but experiential data represents the behavior and sentiment of the consumer which is an indicator of future behavior. In short, how to provide the service and product experience that motivates the customers to love your brand.

Shorten Time to Customer Action

With real-time CX surveys and analytics you can bring together operational and experiential data to shorten time to customer insight and action. We are finding that voice-driven IVRs and real-time speech-to-text transcription are essential components of customer experience solutions that combine real time data collection and integration delivering immediate insight into customer experience. For example, conversations captured and analyzed in real time during call center interactions can be quickly transcribed and analyzed to gather immediate experiential data. When you add in voice-driven surveys delivered immediately following a call center transaction, you gather a complete picture of CX with actionable insight that lets you respond to issues in near real time.

As brands continue to look for ways to differentiate themselves by enhancing their customers brand experience, the marriage of operational and experiential data is going to become essential to get a true portrait of customer experience. Those brands that can integrate that data in real-time will be the winners in the race for better CX. As customer expectation grow, winning brands will have integrated data and analysis not only to understand what has happened, but to predict what their customers attitudes and needs will be to insure continued customer delight.

Voice Driven Research Improves Call Center Performance

Customer satisfaction surveys have become an essential part of marketing. Many online sales, telephone support call, and customer exchange is followed by a customer satisfaction survey, and most of those surveys are absolutely useless. When the customer satisfaction ratings become targets, then the insight from customer feedback disappears. To be effective, customer surveys need to be open, unbiased, and untargeted to get authentic customer views; insights that are actionable. That’s why we are seeing more call center clients adopting voice driven research™, leveraging voice open ends increasing the quality and quantity of qualitative open end response data.

The value of customer satisfaction research has been demonstrated again and again. According to a recent survey by The Temkin Group, 87 percent of customers surveys indicated that their 2016 investment in customer experience (CX) research has a positive impact on business, as opposed to 79 percent in 2015. As a result, 66 percent of companies are increasing spending on CX studies, including a nine-fold increase in headcount. Most of that spending is going into voice of the customer (VoC) software, predictive analytics, and experience design.

Customer satisfaction surveys can help fuel CX research, but only if they gather unbiased results that reflect the true voice of the customer.

Stacking the Deck with Scored Surveys

What’s wrong with customer satisfaction surveys is they become self-fulfilling prophecy. Too often, a company uses customer surveys as a means to gauge call center or service performance, using a score as a target threshold. Surveys become a “shop, rate, reward” system integrated into customer interaction and designed to generate a score, or target.

This type of metric is flawed when gauging true customer experience. Goodhart’s Law, developed by British economist Charles Goodhart, states that once a measure becomes a target, it can no longer be used for valid measurement. By way of example, Goodhart points to Soviet factories producing nails according to a target. If the target is to produce a specific number of nails, the factory produces more tiny nails to meet the target. If the target is based on weight, the same factory retools to producer fewer, heavier nails. In both cases, the target doesn’t reflect true value.

Now consider the same truth as it relates to customer satisfaction surveys. If a survey follows a support call or customer call, the call center representative will ask for a favorable rating which will skew the results:

Rep: “Did I address all of your concerns, Mr Jones?”
Customer: “Yes, thank you.”
Rep: “Great, then can I count on you for a 10 out of 10 score on our customer satisfaction survey?
Customer: “Yeah, okay.”

In general, everyone wants to be helpful so you will consistently get survey results that skew positive. In fact, many companies assess call center performance using post-call surveys and anything less than a 10 out of 10 is considered unsatisfactory.

To get true customer sentiment and honest customer feedback, you have to separate the survey from employee scoring.

The Value of Self Expression

The best approach for accurate, actionable insight is to avoid scoring altogether and opt for open ends, where customers get to share their true opinion.

Open-ended questions offer a number of advantages, especially if you are seeking to gather actionable data. For example:

  1. You get answers you don’t expect. Open ends allow customers to offer observations, not just responses, so you are likely to uncover hidden problems, such as long wait times, problems with your phone menu, and other annoyances. Removing impediments to better customer service means better returns
  2. Complete responses to complex questions. Open ends allow customer to explain. This has at least two benefits: 1) it provides a more comprehensive response to the questions and 2) it cements customer relations by giving the caller a chance to be heard.
  3. It tells you how customers think.

How you administer open end questions also has an impact on the quality of response. You can use written surveys, which will give you genuine feedback that is easy to add to your database for data search. However, given the rising degree of survey fatigue, consumers are losing patience with answering surveys, and written surveys may not generate the response rate you want.

Voice capture adds another layer of authenticity to feedback surveys. Mobile phones in particular have become a popular tool for IVR surveys. Two-thirds of Americans own smartphones and use them for online data access as well as telephone calls, so targeting smartphone users gives them options on how to take the survey. We have found that most consumers prefer voice driven surveys because they are faster and easier, which is an advantage for call centers since voice responses capture the true voice of the customer.

With new speech-to-text transcription technologies, companies are seeing an error rate of 7 percent or less for transcriptions. This makes transcribed voice driven research accurate and incredibly useful for call centers. Transcriptions can be generated in near real-time, making it easy to search algorithms that can flag customer issues that need immediate attention. And the original voice file can be preserved for tone and deeper insight. The result is customer satisfaction response that is easy to capture, more accurate, and most importantly, immediately actionable.

Targeting customer satisfaction provides a false positive that will lead your company in the wrong direction. If you truly want to gauge satisfaction, don’t lead your customers, just ask them what they think. If you provide a forthright and easy way to respond, such as voice response, then you will get more accurate results that will lead to better business decisions.

What Do We Mean by Voice of the Customer?

With the evolution of consumer marketing and customer research terms change their meaning. One term that continues to be bandied about to the point it is no longer clearly defines is Voice of the Customer (VoC). VoC is an essential part of customer research, but the term has become a catch-all for any type of customer experience or interaction. There are parameters around how to define and think about VoC that are important to appreciate to develop an effective customer research program.

The Voice of the Customer is an old concept. Organizations have been taking the pulse of the people for generations. Steve Allen started the concept of the Man on the Street interview for the old Tonight Show back in the 1950s, doing impromptu interviews to hear the vox populi. Getting people’s opinions can be powerful and provide valuable insight into the perception of your brand or product.VoC (Voice of the Customer) quote

VoC actually began as a means to gather information as part of product development. The goal was to gather information from target consumers to determine their wants and needs. VoC was a means of capturing insight about customer requirements in a hierarchical manner in order to make the information actionable, i.e. give the product team an understanding of how to develop the right features and functions.

What has happened over time is that the definition of “voice of the customer” has expanded beyond its original, narrow definition to support market research. VoC assessment has become part of consumer research methodology and is used to identify customer needs, trends, behaviors, and patterns.

What’s important to remember is that VoC research is designed to address the customer experience BEFORE there is physical interaction with the product or brand. Once the customer has had the product experience, then you move into a different phase or research based around customer feedback.

So what are the objectives of a solid VoC program? Consider these:

  1.  Strive to understand the customers’ expectations from the brand as part of your research.
    2. Understand how VoC helps shape a brand’s product or service to align with the customers’ needs.
    3. Understand how the brand can address the demands of the customers, as opposed to how the customer perceives the product or service.
    4. How can VoC expectations be applied to bring about strategic changes across the organization.

VoC research is designed specifically to learn more about customers’ likes, dislikes, preferences, and patterns. By its nature, VoC research is anticipatory, and requires interviewees to project themselves into the brand experience and voice their expectations. An IVR surveys can be an invaluable tool for VoC research if it is applied properly. This is especially true of newer VoC systems that integrate voice driven IVR surveys that actually capture and auto transcribe the open-end responses of customers, giving researchers detailed qualitative information about customer attitudes and emotions.

Not all customer research touchpoints fall into the category of VoC, but if you are using customer research to assess customer expectations or acceptance of a new product or brand experience then you should plan your VoC research accordingly.

Matching the Survey Channel Makes for Better Customer Service

As the number of customer service channels continues to expand surveying consumers about their customer experience becomes more complex. Which channel is best for customer outreach and follow-up? What’s the best means for consumer outreach to elicit a complete response? The best answer is to give consumers a feedback channel that matches their individual needs.

We have observed that most consumers prefer to respond to IVR surveys using the same channel as they do for company contact. Being sensitive to customers’ channel preferences tells you a lot about how consumers like to communicate, and the best ways to reach them.

The Telephone Still Rules

The reason for customer contact is what dictates the contact channel. As a 2017 report from The Northridge Group shows, the telephone is still the dominant service channel, especially for time-sensitive issues such as billing, but phone use continues to decline. Fifty percent of those surveyed in 2015 said they prefer they prefer using the phone, but that number dropped to 43 percent in 2017.

The big challenge with telephone support is wait times, which is a universal complaint for consumers, followed by the challenge of navigating the automated customer service system. As a result, we are seeing a growing preference for online chat (23 percent), web self-service (5 percent), text messaging (4 percent), and mobile self-help (3 percent). At the same time, 55 percent of customers find web self-service portals hard to use.

Part of the reason phone service remains the most popular is people prefer human interaction. To shorten time-to-response for incoming phone calls, more companies are adopting call-back functions to eliminate long wait times. Automated call-back and improved scripting tools for agents are making call center response more efficient, shortening response time and reducing call center staffing requirements.

For less urgent issues, most consumers prefer to do their own research and find the answers to their own questions. Seventy five percent of consumers surveyed said they prefer self-service as a fast and painless approach to address service issues, and 67 percent said they prefer self-service over talking to a company representative. Ninety-one percent said they prefer to use the customer knowledge base, and 40 percent call the service center only after they have searched for their answers online. Not surprisingly, Millennials are less patient than Baby Boomers are more likely to call if they can’t answer their own questions.

Match the Survey to the Channel

When consumers do have to contact a company, their preferred method of contact according to research by DMG Consulting is, in order of preference, via email, phone, text, online chat, and social media. However, when receiving correspondence from companies, email is preferred over telephone 60 percent to 21.4 percent. For sales transactions, web self-service and email are preferred over calls and text.

When surveying customer satisfaction, acknowledging the customer’s preferred channel is important. For web queries and email queries, using web and email surveys will typically yield a higher response. For call center queries that clearly have a higher priority for the consumer, responding with telephone IVR surveys is the preferred strategy, demonstrating that their opinion also has a higher priority for the company. It’s all a matter of reaching the consumer in the right context.

When you survey is as important as how you survey. To maintain continuity you should contact customers as soon as possible, showing the same degree of urgency as the inbound query. For telephone queries telephone IVRs sent shortly after the call center contact yields the best results. Not only does a return call with an IVR survey demonstrate the same degree of urgency to provide customer satisfaction, it also can provide more immediate feedback to escalate problem calls. If the customer satisfaction is low, a response can be immediately flagged for follow-up using real-time transcription technology and keyword analytics.

To match survey channels effectively requires a unified view of the customer and customer interaction. This includes the nature of the customer contact, the channels used, and the successful (or unsuccessful) result of the interaction. If the customer prefers email or chat, for example, following up with a phone survey is more likely to discourage response. Online channels offer more convenience where phone survey in response to email queries can be viewed as disruptive.

The best way to capitalize on the right customer service channel is to follow a few simple guidelines:

  1. Always use a survey method that matches with the communication medium chosen by the customer.
  2. When possible provide consumers with a choice as to their survey channel using a mixed mode strategy.  
  3. Use survey methodologies that deliver real-time survey data. This will provide richer and immediate insight into the quality of service and customer experience.
  4. Process both closed-end and open-end data in near real-time. It’s the best strategy to leverage data for closed loop recovery.

Consumer channel preferences will vary based on the issue at hand and customer demographics. Customer service questions, for example, are often best handled by phone for urgent matters while sales and product queries are usually handled via email or online. Interacting with customers and consumers on their own terms is the best means to improve survey response rates and promote customer loyalty.

Omni-channel CX is Incomplete Without IVR

Can you have a successful omni-channel CX without IVR?

The short answer is No.

I recently attended a large customer experience (CX) conference and it surprised me how many companies believed they have mechanisms in place to monitor their omni-channel CX. Many of these companies have call centers that field hundreds of thousands of calls a year and they have never considered IVR surveys to measure their customers’ call center experience (although many use email surveys to measure the call center or agent). I will be the first to admit that IVR research has the stigma of being old fashioned – my company has been doing it for almost 30 years – but that doesn’t mean IVRs can be ignored or that there aren’t some exciting new things happening with IVR surveys.

There are exciting innovations in the IVR world. Speech-to-Text has come a long way in recent years. We now have an 88-90% accuracy rate using an out of the box survey model and it can get higher with tuning. Why is this important? Well IVR open-end comments are the longest compared to other methodologies. Some studies show that they are seven times longer and more comprehensive than web and SMS comments. This means richer comments, more insights and more data to feed into your text analytics.

There also is an increased need for redaction technology. We are seeing our customers in the Finance, Healthcare and other regulated fields using redaction software to remove Social Security Numbers, Banking Number and any other PII (personally identifiable information) from the transcription and open-ends. This means companies can be sure of security compliance since employees can listen and read transcribed open-ends without having to worry about uncovering sensitive personal information.

Another innovation is that IVRs now include a sentiment score that measures the emotion of the respondent when he or she left the open-end response. This score is another data point to help you decide which comments to listen to and how to setup alert.

However, one of the most exciting innovations in applying IVR to measure omni-channel CX is the ability to present real-time feedback. Consider this example. A customer requires a service call at their home. After the installation the technician leaves and the customer receives a phone call using a voice-enabled IVR with a short survey about the installation experience. If the customer leaves an open-end response that there was an issue with the service call, the Speech-to-Text transcription technology and IVR analytics can pick up on the customer’s dissatisfaction and issue an alert. A Customer Service Representative can then look up the customer’s information based on the generated alert, call the customer immediately and resolve their issue. With real-time sampling and reporting customer response time can be reduced to less than 30 minutes.

Without the right IVR system in place to gain customer feedback, the customer journey is incomplete. You need to learn as much as you can about the customer experience to make omni-channel marketing truly pay off.

Is Voice Driven Data Capture Part of Your CX Strategy?

Customer experience (CX) research has been experiencing dramatic evolution in the last decade which has, in turn, changed CX strategy. In recent years customer satisfaction research has been turned upside down by the rapid evolution of the digital customer experience. The historical norm of siloed customer satisfaction survey projects reported on a monthly or quarterly basis has evolved into real-time omni channel data collection spanning the entire customer journey, from acquisition to long-term client retention and value growth. Further, there is a new demand to integrate all employees into CX reporting and motivation. Every employee in the company has an opportunity to enhance the customer experience, which has driven CX vendor to deliver multi-level reporting that integrates analytics spanning survey, social data, operational data, etc.

The goal today is not to simply report on a customer satisfaction metric, rather it is to make customer satisfaction an integral component to company strategy and employee motivation.

To achieve this goal, CX vendors must look for best of breed solutions throughout the customer journey. One such solution is the Voice Driven Data Collection™. Voice Driven Data Collection utilizes telephone and mobile devices to maximize the opportunity to capture both quantitative and qualitative data within a omni channel environment by converting voice response into actionable data.

The premiere survey methodology for capturing voice driven data is IVR surveys. IVR offers a flexible survey methodology for mobile consumer enabling voice and keystroke-driven input. Statistics show that IVR surveys tend to provide the highest response rates in outbound survey methodologies, and they offer the ability to gain insight immediately after a consumer interaction with a call center. What this means is that a broad demographic population can provide survey data response that reflects a more accurate representation of the consumer’s experience with rich quantitative and qualitative data.

More importantly, IVR surveys uniquely enable an ability to capture responses through open ends, the actual voice of the customer, providing actionable attitudinal and ideation insights to understand the “why” of consumer CX measurement. This ability to capture consumer voice is particularity important when considering the dramatic decline in open ended data associated with web, mobile, and text surveys.

Integrating IVR survey data collection is a key component to making the Voice of the Customer actionable in today’s CX strategy.

Four keys to better measure call center CX

Customer support call centers continue to be one of the most influential customer experience (CX) touch points in your customers’ journey. Designing and executing customer experience call center CX feedback systems should be one of the highest priorities in any enterprise CEM solution. Unfortunately, for many brands a one-size-fits-all methodology has been used to develop survey and feedback systems to interview call center CX is driven by CX survey and feedback systemscustomers about their experience following call center interactions. Our experience suggests that the survey methodology and system design needs to align to the unique aspects of customer care call center management.

Here is a list of four key considerations to keep in mind when designing call center survey feedback systems:

1. Acquire customer experience quickly. The best data from customer care and call center service interactions need to be acquired within minutes after the termination of the call. Best of breed solutions use an instantaneous, event-triggered system to engage a consumer who has opted in to a survey. This event triggered surveys offer the highest response rates and the most concise feedback on call center CX.

2. Sentiment data is king. Consumer sentiment is recognized as a key indicator of customer experience and an important metric for customer care. Many vendors wait to measure sentiment in post engagement text analytics processing. Voice driven data collection systems using IVR and speech-to-text models can measure consumer sentiment scores in real time and monitor for keywords and phrases enabling alerts to be delivered for direct intervention by customer care representatives.

3. Integrate operational and research data. Strong analytics are key to managing agents’ performance and making insights actionable. One way of enhancing call analytics that is often overlooked is integrating survey data with operational data. The seamless integration of survey and operational data, including agent ID, is critical to generating comprehensive analytics that can render actionable insight. Survey data system should integrate through API into the call center data allowing seamless integration on the front-end rather than requiring post survey manual integration of operational data.

4. Open-ends are critical to making NPS actionable to the brand. Qualitative insights drive ideation that enables the brand to take action to make measurable improvement in NPS scores. Unfortunately, mobile and text survey have had a direct negative impact on the quantity and frequency of consumer open ends. The only survey methodology that has consistently delivered rich open end data is IVR surveys. Consumers tend to give open end responses that are 3-7 times longer than other survey methods. In addition, with speech-to-text technology these voice open ends are more actionable and cost effective than ever.

Why call center IVR surveys of customers is on the rise

Market pundits have predicted the decline of call centers as a critical component of consumer care.  In reality, call centers continue to be the single most important component of consumer care in the digital age. Research shows 69 percent of consumers are more satisfied using the phone to acquire support across most industries, something you could test with your own call center IVR surveys.  Further, at a cost of $1.00 per minute, Call Centers represent the single most expensive customer care system cost by a large margin.

Because of the volume of consumer contacts and their relative impact on consumer satisfaction, call centers have always been considered a critical touch point in the customer journey for all customer experience CX research.  Further, multi-modal surveys have been used for post call center surveying, but IVR surveys have been the dominant and preferred survey method. New trends in customer research will further expand the use of call center IVR surveys for post call customer care.

Call center operations are beginning to integrate speech to text technology as a scalable method to review and analyze the performance of agents, and coaching agents to enhance success metrics. Speech to text captures the customer exchange and transcribes it to make it easier to analyze and dissect call outcomes to assess agent performance. This technology will enable call center management to better understand the causes of successful and failed customer care calls.

What the technology of transcribing actual consumer call recordings will not provide is a clear understanding of the impact customer care and service call successes and failures have on the customer’s relationship to the brand. This can only be achieved by an effective and broad-based post contact survey methodology.

IVR surveys continue to offer the preferred survey methodology because it offers nearly instantaneous post call or service contact, extremely high participation rates, a mobile friendly platform, and the ability to gather quantitative and qualitative feedback, including insight into brand affinity. The qualitative data acquired by IVR surveys has dramatically improved and is more cost effective with the integration of similar speech to text technology. Now you can transcribe survey open ends and integrate such data for text analysis and ideation research in near real-time a fraction of the cost of manual transcription.

As call center innovation grows so does the ability for customer experience research to measure the attitude of consumers and score their experience to measure the impact on consumer brand affinity.

 We can help you get more from speech to text IVR surveys – learn more.

Call Center Silos Are Eroding Omnichannel Success

Even though they talk to customers via telephone, email and chat, the most siloed operation in your customer service operation is your call center. Historically, call centers have been segregated from other parts of the organization concerned with voice-of-the-customer (VoC) issues, which is odd since no other group works directly with more customers every day. Collecting and, more importantly, sharing customer experience (CX) data should be one of the primary responsibilities of the call center.

Why are call centers siloed from the rest of the organization? There are a few obvious reasons:

  1. Telephony partners often have a stake in controlling the feedback related to their platforms.
  2. More call centers are being outsourced, which makes it harder to integrate call center reports and findings.
  3. Call center business processes including workflow and software, differ from other VoC groups making it more difficult to integrate call center data.

Despite these obstacles, call centers are front and center when it comes to assessing CX and customer satisfaction. The data they gather as part of the omnichannel experience can help make or break your brand.

CX Success Relies on Collaboration

According to Gartner more than two-thirds of marketers say their companies compete on CX and more than 81 percent expect to compete mostly on CX by the end of the decade. However, to succeed, CX has to be built around collaborative processes that engender positive customer outcomes. As Gartner Analyst Augie Ray states:

…in a world increasingly built around collaboration, CX outcomes tend to diminish when marketing or any other single department attempts to lead and execute CX alone. CX leaders need to partner and collaborate with other departments to make improvements throughout the entire client life cycle.

No one group listens to the customer more closely than the call center. Call centers tend to be the single, most impactful operation affecting net promoter scores (NPS), which means they have a huge impact on CX.

Aberdeen Group reports that best-in-class VoC users get 10 times the annual revenue of their competitors. Mastering VoC programs also contributes to the success in other ways:

  • 55 percent of VoC leaders have higher customer retention rates.
  • 23 percent see a reduction in customer service costs year over year.
  • 292 percent experience greater employee engagement rates.

Call centers are at the forefront of VoC data gathering, generating more qualitative and quantitative transactional data than any other CX group. Ignoring call center findings and failing to incorporate them in CX analytics is a costly mistake.

Tapping Call Center Data for CX Analytics

Thanks to big data analytics, customer interactions gathered by the call center can be captured and incorporated into CX research. Issues such as siloed data repositories and incompatible workflows can be overcome using the latest data mining techniques, and big data analytics can accept source information in virtually any form. Cloud data repositories and other data sharing strategies also provide ready access to call center research as part of collaborative CX analytics

Once you understand the vital role that call centers can play in VoC data gathering you can break down the barriers and integrate call center CX data into your analytics workflow. It also allows you to make the most of the unique role the call center plays in assessing CX.

Establishing the right protocols for customer experience data gathering has to be part of multichannel CX analytics. You need to establish customer surveys that provide an accurate snapshot of customer attitudes. You also need to be able to process open end questions as well as multiple choice and ranked responses.

More importantly, you need to be able to process real-time data as well as historical data. To increase customer retention rates and reduce customer service costs requires immediate response to customer issues. Having a real-time data analytics engine providing immediate reports based on customer-agent conversations is the kind of big data application that can give your customer service operation a true competitive edge.

It’s time to bring your call centers in from the cold. The more closely you can integrate call center data gathering into your omnichannel strategy, the more comprehensive your understanding of customer experience will be. You also need to take advantage of the call center’s unique role as the direct channel for customer contact, using timely IVRs and real-time analytics to improve customer satisfaction.