How to Use AI to Solve Real Business Problems

Instead of going for a high-risk moon-shot, here's how to effectively integrate AI into your business to solve tangible problems. In this article, originally posted on Forbes, Lexalytics CEO Jeff Catlin keeps it clear and concise.

When people think AI, they often think big, such as curing cancer or solving climate change. Everybody is dreaming up the biggest problems possible and attempting to solve them with AI. Or there’s the flip side: not knowing what to do with AI and avoiding it accordingly. Hence why, according to McKinsey, just 20% of surveyed executives use AI-related technologies in their businesses.

There is a middle ground that will allow you to effectively integrate AI into your business without shooting for the moon (and blowing up on the launch pad). Look for business use cases where AI is already a proven solution — or an emergent one. And ensure that you have the data ecosystem available for AI to do its work.

With the right business case and the right data, AI can deliver powerful time and cost savings, as well as valuable insights you can use to improve your business.

Let’s take a look at a handful of business problems and how AI has been employed to solve them. These are practical, pragmatic, replicable efforts. It’s not intended to be a comprehensive list but instead a group of examples of “right-sized” projects.

The Problem: Predicting Customer Churn And Acting On It

VOZIQ provides customer experience management software to contact and call centers. (Full disclosure: VOZIQ and AlternativesPharma are Lexalytics, an InMoment Company, customers.) For these centers, churn reduction is a major KPI. And they do so largely by using demographic and transaction history data.

However, this approach fails to capture the real-time, dynamic customer data picked up over the phone, much of which is recorded in notes taken by call center workers.

Rather than letting this data sit untapped, VOZIQ made use of it. It integrated AI to analyze post-call comments, categorizing them by topic and flagging sentiment scores that indicate customer dissatisfaction and the likelihood of churn. The company’s call center clients now receive insight into customer motivations, concerns and reasons for calling and are able to use this data to quickly spot and address customer churn.

The Problem: Creating Surveys That Deliver High-Quality Responses

SurveyMonkey is a leading survey software that lets businesses create and publish digital surveys in minutes. The system crunches an incredible 3 million responses every day. Since launching in 1999, SurveyMonkey has built up a powerful database of consumer and employee responses, and it’s now using AI to leverage this data.

Person-Doing-a-Survey-with-Clipboard.pngIt’s doing so in a few ways. One of them is by tapping into past survey results to help businesses create high-performing surveys with high completion rates. The system delivers real-time recommendations for adjusting which questions are asked and how in order to generate higher quality data. The data received by SurveyMonkey comes from unpaid survey-takers, so optimizing for high-quality responses is essential.

The company is also using AI to help organizations map customer feedback via sentiment analysis and to help vet candidates for jobs, scholarships and programs. Together these changes mark SurveyMonkey’s shift toward becoming a business intelligence tool.

The Problem: Reading And Handling Online Reviews

There are countless online reviews sites for guests, travelers and diners to post their experiences. But reading and reviewing them is no simple task. Reviews are scattered across a variety of sites, many of which use different formats. Add to this the challenge of unstructured, text-based reviews and the multilingual nature of the hospitality industry, and obtaining a comprehensive snapshot is a serious challenge.

But this is exactly the sort of situation where AI shines. For example, luxury hotel operator Dorchester Collection is using AI to monitor its own and competitor reviews to identify genuine guest needs. Using a platform called Metis, Dorchester Collection parses, summarizes and contextualizes reviews in order to gain insights, plan next steps and maintain a competitive advantage.

The Problem: Creating Messaging That Resonates With Users

What patients say in a clinical setting is different from what they say behind closed doors — or in the anonymity of the internet. AlternativesPharma is all too aware of this, which is why it uses qualitative data from web forums, social media and blogs in its efforts to help pharmaceutical marketing teams connect with both patients and doctors.

However, sourcing, collating and analyzing such data on a suitably large scale is impossible without the help of technology. To get the insights and in-depth analysis needed to improve pharmaceutical messaging and communications, AlternativesPharma turned to AI. This has allowed the company to analyze, categorize, and “theme” patients’ online discussions around particular diseases and pharmaceutical products. With new insights into how patients talk about certain ailments, AlternativesPharma has been able to help its clients more effectively communicate with patients and medical providers.

Building A Business Case For Your AI Problem

So how do you go about bridging the gap between AI as a possibility and AI as your chosen solution? Building a business case for AI isn’t so different from building one for any other business problem.

First, identify a need and a desired outcome (automation and efficiency are common drivers of successful AI projects). Then undertake a feasibility assessment. You’ll need to determine whether you have enough data to work with and whether it’s the kind of data that lends itself to pattern identification and subsequent decision making. You’ll need to make sure that the technology is sufficiently advanced to do what you need to do. If not, an existing solution may be the more cost-effective option.

Finally, you’ll need to ensure that the ROI of “success” is there. How will you measure your outcomes, and how will you incorporate these new understandings into your business model?

Implementing AI can be a big undertaking. But if you start with a business problem and take an incremental approach, you’ll be able to leverage its time and cost efficiencies to stay competitive both now and in the future.

This article originally appeared on Forbes Technology Council.

Further Reading: AI Use Cases, Ethics Concerns and More

AI in Education: Where is it Now and What is the Future?
How to Choose an AI Vendor – 4 Questions to Answer
Artificial Intelligence in Retail – 10 Present and Future Use Cases
AI in Healthcare: Data Ethics & Privacy Concerns
AI In Financial Services: Three Current And Emerging Applications

Designing Extraordinary Experiences: Filling the Gaps with Intelligent Automation

In a highly competitive market, traditional methods will no longer cut it. In order to create a meaningful experience that benefits everyone—brands, customers, employees, and the market—you need all-encompassing business intelligence tools that fill the gaps with insights that will drive impactful results. 

In the evolving e-commerce market, consumers have just as much power as brands, if not more. As a result, the demand for intelligent, user-friendly customer experience (CX) has only increased, with no signs of it slowing down.

 In a highly competitive market, traditional methods will no longer cut it. In order to create a meaningful experience that benefits everyone—brands, customers, employees, and the market—you need all-encompassing business intelligence tools that fill the gaps with insights that will drive impactful results. 

InMoment puts the intelligence in intelligent automation. The XI Platform is comprised of three clouds, the CX Cloud, the Employee Experience (EX) Cloud, and the Market Experience (MX) Cloud. Built on a modernized technology stack, these clouds can be used individually or combined to deliver insights from the most critical lines of your business. 

4 Key Drivers in Experience Intelligence Automation

#1: Synthesize

Customer feedback is essential, yes, but there’s more to it than that. Data doesn’t come from just one source or even one format; experience data lives in every part of your business. Our approach widens your lens to a 360-degree view by mining and storing data from a variety of sources—your organization, its products, your market, and your competitors—to identify the most critical intersections of what creates meaningful experiences. With InMoment, science is infused in every part of the XI Platform, which enables the extraction of more data in more formats for even more intelligent business insights.  

#2: Analyze 

Collecting and leveraging data through silos makes it difficult to piece all of the experiences together and even harder to create an effective CX strategy. But with the extraction of data in its original form combined with the unique fusion of sources, our platform easily compiles findings from the customer, employee, and market to take your analytics to the next level. By viewing metrics through the right lens, you can maximize the quality and relevance of the insights that your company receives to transform CX metrics into meaningful analysis, which in turn, gives your company the tools to execute an actionable, data-driven customer experience strategy. 

#3: Prioritize 

Every company strives for meaningful contribution but without the fundamental knowledge of your customers, employees, competition, and the market, you can never truly make informed decisions. InMoment’s XI Platform allows you to customize and tailor the intelligence that users receive, ensuring everyone gets the relevant insights needed. This experience intelligence allows everyone to better understand feedback and prioritize the issues that require immediate action and solve those problems. Our solution is highly scalable to meet your company where you are now and get you where you want to go.

#4: Monetize 

With InMoment’s XI Platform and a fully integrated CX strategy, your business can finally see the big picture. Better customer experience transparency allows your company to turn findings into action that produces more business value and profit. These purposefully designed, extraordinary experiences aid in fostering long-term, measurable growth. 

Want to learn more about how our XI Platform can take your CX program to the next level? Download InMoment’s eBook “Designing Extraordinary Experiences: Combining the Power of Customer, Employee, and Market Experience Intelligence” today.

How the Telecom Industry Can Solve Its CX Problems

Research shows that telecommunications companies consistently receive lower customer experience (CX) scores than any other industry. Here are a few tips brands can use to improve the customer experience and ultimately customer retention in the telecom industry! 

There’s a reputation problem facing the future of the telecom industry. 

Research shows that telecommunications companies consistently receive lower customer experience (CX) scores than any other industry. That’s partly because people tend to have much higher customer experience standards for telecoms than they might have for other businesses. But it’s also because many telecoms simply aren’t listening to their customers. And as the streaming war heats up and spurs major changes in the telecom industry, businesses can no longer afford to ignore their customers. 

Here are a few tips brands can use to improve the customer experience and ultimately customer retention in the telecom industry

Anticipate Common Problems Before They Occur

It doesn’t have to be a guessing game when it comes to understanding customer needs and problems. Common issues often plague telecom users, especially as they reach certain milestones along the customer journey. 

For example, our research shows that customers are less likely to recommend internet, mobile, or television services around the one-year mark with a provider. Respondents report common frustrations around staff ability, efficiency, and helpfulness, as well as issues with bill clarity and ease of payment. 

Given that this problem is by no means rare, telecom providers should be proactive and engage existing customers before they reach this milestone. Check in with customers about their points of concern and educate them to avoid any confusion that may create bigger problems down the line. 

Approach Efforts to Automate Wisely

Automation in the telecom industry has changed the game for many companies through the use of AI-enabled chatbots. AI can ease the burden on swamped customer service reps and provide more convenient options for customers to engage with businesses. But no matter how helpful this technology can be, it can never fully replace human interaction.

Poor customer service is a top contributing factor to user dissatisfaction. As a result, telecom companies must review all problems that occur and make sure their chatbots are not used at the wrong times and making issues worse. Every customer resolution strategy should blend automation options with the possibility of intervention by a human customer service rep. This should be a seamless process; that way, if problems are escalated from bots then service reps have all the data and information needed to avoid wasting customer time. 

Engage Customers on Their Own Terms 

It’s hard to understand all of the unique problems your customers face if they can’t easily provide insightful feedback. And given that customer needs and preferences vary, one size does not fit all when it comes to the options for soliciting this feedback. Customers should be able to choose from a diverse range of channels to solve their problems in the ways that are easiest and most productive for them. 

Give customers opportunities to engage via interactive methods—through voice, video, image, and more—beyond just the standard survey. This provides more meaningful and insightful data with details that matter so you can easily improve your CX. Regardless of how your customers choose to engage, make sure their transition from survey to video chat or phone call with a rep is seamless and consistent. 

There are no guarantees in the future of telecom. But your survival in an increasingly competitive space depends on your ability to step in the shoes of your customers and understand their needs and issues. If you can harness the voice of the customer to improve your customer experience, you’re already ahead. 

For more information, download our “CX in the Telecom Industry eBook today. 

Recently more and more of our clients are considering adding a significant reward component to their customer experience (CX) programs. This may take place by directly rewarding CX outcomes, or by adding them to an existing reward-based incentive program. Many automotive manufacturers have been using CX outcomes in their reward-based incentive programs for decades.

The insights provided below are based on our experience running the CX component of many of those programs. There’s a lot to think about if you are considering combining reward or compensation components with your CX program.

Your program will come under much more scrutiny and participants will care much more about it. Participants, especially those who do not achieve the reward, may also
challenge your program. This is why the process of setting, communicating, and enforcing program rules (i.e., program governance) becomes very important.

For the purposes of clarity, in the descriptions below we are going to use a typical example of a customer experience program that is run by a company to obtain feedback about experiences across its retailers (i.e., the reward program participants). However, when we refer to “retailers,” they could be any customer-facing program participants like franchise locations, bank branch managers, insurance agents, hotel managers, etc.

Consider What You Want to Accomplish

Adding a successful reward component to a program involves making many decisions about how to structure your program, that will ultimately determine its success. Before you begin making these decisions, it is important to clearly articulate (ideally in writing) what you hope to accomplish. For example:

  • What kinds of behaviors are you trying to change, and in whom?
  • Are you looking to reward people whose feedback indicates they are doing an exceptional job?
  • Are you hoping to nudge low-performing retailers to begin focusing more on customer experience?
  • Do you just want to incentivize people to keep doing what they’re doing?

Most programs we’ve encountered are set up to award the majority of retailers, both for marketing and retailer improvement purposes. However, due to budgets, there is a trade-off between the number of retailers you can reward and the size of the rewards you can give.

This is just one example of why it’s important to have alignment on the purpose of your program up front, so that the goals you set, metrics you collect, rewards you give, etc. can be strategically chosen to bring about the specific impact you want.

Qualification Criteria

Once you know what you want to accomplish with your program, you’ll want to decide what criteria need to be met for a retailer to qualify for consideration for the reward. There several factors that should be considered:

Pre-qualifiers: Some programs set criteria for a retailer to be eligible for reward consideration, no matter what their score. These criteria may be financial-based (e.g., minimum sales) or CX program-based.

For instance, if the retailers in the program are the source of the customer contact information, the percentage of provided sample with valid email addresses (i.e., data cleanliness) and/or the overall percentage of customers with valid email addresses (i.e., data coverage) are often used as pre-qualification criteria.

This encourages retailers to collect and report email contact information to be used for surveying purposes. Other pre-qualifiers can include retailers having completed training and other activities that contribute to the delivery of exceptional customer experiences.

Number of Returns: You will need a reliable and valid measure of customer experience upon which to base your rewards. To have enough surveys responses to produce a valid score, the general rule is 1000 is great, 100 is good, 30 is acceptable, and anything below that is questionable.

However, even when using 30 as the minimum responses needed, problems often occur because each retail unit needs to have that number of returns in the time period being measured. For context, many of our programs that receive over a million responses per year have difficulty meeting the 30 minimum responses at the retailer level because those responses are unevenly spread across thousands of retailers.

So, what do you do?

You need to look at the distribution of responses across your retailers and pick the highest number of returns that won’t exclude too many retailers due to low sample size. This analysis will also help you decide what time frame is needed to gather enough returns at the retailer level. Meaning, you might not have enough returns to support a program that gives quarterly rewards, but you may be able to give rewards semi-annually or annually.

Goals and Cut Off Scores

When implementing a reward program, you’ll need a goal or cut-off score that determines who earns the reward and who does not. These goal scores have many characteristics you need to consider.

SMART Goals: First of all, your goals should follow the SMART guidelines. In other words, your goals should be Specific, Measurable, Attainable, Relevant, and Time-Based. Describing the details of SMART goals is too large of a topic to address here, but that information can easily be found online.

A Single-Item Measure vs. an Index: You also need to decide if your goal is going to be determined by a single customer experience measure (e.g., Net Promoter Score, Overall Satisfaction with the Transaction) or an index that combines measures.

An index of key performance indicators (KPIs) is usually preferred because it is more statistically reliable, and you can focus your employees on achieving various KPIs. The KPIs making up the index can also be weighted to account for their relative importance in determining the customer experience.

We recommend that an index contains no more than three or four measures because people and businesses can only focus on a few things at a time.

A Universal Goal vs. Different Goals: Another important decision is if you will use a universal goal for everyone in the program or if you will have different goals for different groups of participants. While a universal goal is easiest to administer, in many cases it is not the best choice.

Because CX performance can vary greatly by geography, most reward-based CX programs set different goals for different countries, and many set different goals by region within countries to ensure fairness.

A Single All-or-Nothing Goal vs. Tiered Goals: One problem with setting a single all-or-nothing goal is that the goal may not be motivating for program participants who are so far away from the goal that they have virtually no chance of obtaining it. Therefore, you might consider adding a smaller reward solely based on improvement or provide rewards based on level of goal attainment (e.g., at 80%, 90%, 100% and 110%).

Another problem with having one all-or-nothing goal is that, when the value of the reward is significant, it can lead to undesirable behaviors when retailers are unable to achieve the goal by honest means. In these cases, retailers may resort to survey manipulation or other gaming behaviors to obtain the all-or-nothing reward.

A tiered structure with different attainment levels and corresponding reward values can help prevent this.

Absolute Goals vs. Relative Goals: Absolute goals are goals that are set before the beginning of the reward period. Relative goals are usually goals that are finalized at the end of the reward period and are based on all retailers’ performance during that time period. Common relative goals are the national average, or the score associated with the top “X” percent of retailers for the reward period.

In general, we recommend use of absolute goals because relative goals cause retailers to “shoot at a moving target.” This can lead to confusion and frustration, reducing program engagement.

While absolute goals are preferred, that does not mean they can’t be set using relative comparisons. Many programs set their absolute goals by using the national average or score associated with top tier dealers from the previous reward period.

Goal Level: How high you set the bar has important implications for people’s effort, and for the success of the program. Ideally, each individual or retailer will have a goal that is “just reachable” – a goal that is high enough so as to stretch them to perform to the best of their ability, but not beyond their reach in which case they may give up and disengage from the program.

Characteristics of the Reward

There are several aspects of the reward itself that you need to consider:

Type of Reward: The most common decision here is whether you are going to offer cash or non-monetary rewards like merchandise or travel experiences. While cash is often used, it may not be the best choice for a number of reasons.

First, it is important that the reward is a “bonus” to the participants, not something that they need to achieve to maintain their business or livelihood. While most people will say they would prefer cash, it can easily become absorbed into one’s personal budget and spent on necessities, thus becoming a need.

When this occurs, it is much more difficult to discontinue a cash-based rewards program because participants are relying on it for their livelihood.

Non-monetary rewards, on the other hand, are perceived as distinctly different from cash and usually deliver greater motivational and emotional value because they represent the opportunity to treat oneself or others with luxury items that might be difficult to justify if purchased. Also, non-monetary rewards usually have trophy or social value whereas cash does not.

Most program participants would be reluctant to tell friends they received a $5000 cash reward, and many would not remember how they spent that reward money a couple of years later. However, tangible items like merchandise and travel experiences provide lasting memories of being rewarded that are socially acceptable to talk about with others or post on social media. This extends the emotional arc of the reward, making it more meaningful and valuable to the recipient.

Amount of the Reward: Obviously, the amount of the reward will depend on your budget and how many winners you anticipate. Rewards need to be valuable enough to be motivating or people will either fail to engage or consider them unfair in exchange for their time and effort. Conversely, the rewards should not be so large that the need to win them triggers undesirable behavior or resentment if they are discontinued.

Timing of the Reward: You also need to determine the time period in which the rewards will be earned. Most reward programs we have seen provide rewards either quarterly or annually. It is particularly important that you set the time period long enough so the vast majority of participants will reach the minimum survey returns criterion.

For those who cannot meet the criteria in that time frame, you may want to find a fair alternative solution so they will not feel devalued.

Program Administration

Program administration is one of the things that will change most if you add a significant reward omponent to your CX program because there will be more scrutiny of scores and more “score chasing”.

Survey Appeals Process: Most CX programs with significant rewards have some sort of survey appeals process, either a formal set of rules or a “one-off” decision making process. For consistency and fairness, a formal set of rules is preferred. Generally, survey appeals should be granted only in cases where egregious survey errors have occurred.  Sending the survey to the wrong customer or having the customer rate the wrong retailer or transaction would qualify as egregious errors.

The remedy for successful appeals should be to remove the surveys in goal score calculation rather than giving “full credit.” Many CX programs set a limit to the number of appeals a retailer can make to prevent appeals from getting out of hand.

“Mulligans:” In golf, a “mulligan” is a free do-over without a penalty stroke. In the CX world some programs allow “mulligans” by dropping retailers’ bottom one to five percent of surveys in a given time period. This is done to hopefully minimize the survey appeals process and to address the common complaint that, “you can’t satisfy everyone.”

Generally, allowing “mulligans” is not a good idea for a number of reasons:

  • It often does not minimize the appeals process. Retailers still challenge surveys in the hopes they won’t count toward their mulligans.
  • Most programs set goals based on national/regional performance across units. For something to truly be a “mulligan”, goal scores need to be set without removing mulligans, but retailer scores need to be calculated while removing mulligans. Otherwise, you are just “raising the bar” by removing mulligans. While necessary, this process can cause unnecessary confusion to the understanding of program rules and thus less participant engagement.
  • All retailers have to deal with unreasonable customers. That’s part of the job and the effects of having difficult to satisfy customers should “wash out” over retailers.

Establish Rules for Survey-Related Behavior: The key to having a CX component in a rewards program is to ensure that the survey responses are in sync with the actual experience and that participants aren’t asking for a rating inconsistent with actual performance.

Unfortunately, when there is a significant reward on the line, many retailers talk to customers about filling out the survey and encourage them to “give me a good grade.” Therefore, you need to set and clearly communicate rules for what behaviors are allowed and not allowed.

Some programs prohibit retailers from even mentioning the survey to the customer. Others allow retailers to inform the customer that a survey will be coming and ask the customer to please fill it out, but that is all they can say. Things that are typically not allowed include: Telling customers they are “graded” on the survey, showing customers a survey with all top-box responses checked, telling customers their pay depends on survey results, and providing incentives for good survey scores.

Program Adherence Monitoring: Most companies that have significant rewards based on their CX programs have processes in place to detect if retailers are attempting to manipulate the results. There are several markers that could indicate manipulation: duplicate customer contact information (e.g., email addresses), retailer domains in the email address, unusually low percentages of valid email addresses, unusually low or high response rates, unusually high number of multiple responses from the same IP address, and multiple responses from the same computer or smartphone.

A best practice in this area is to keep the specific survey manipulation detection methods unpublished to make it difficult for participants to figure out work arounds. However, the general fact that survey returns are being assessed for manipulation should be publicized. Retailers are less likely to try to game the system if they know their company is monitoring results for cheating.

Establish and Communicate Consequences of Cheating: This is where many programs fall short because cheating is implicitly allowed through the lack of consequences for getting caught. If cheating is allowed, many people will not go to the effort to do the behaviors your program is designed to incentivize.

It can also undermine a program by creating a sense of unfairness for the participants who try to earn their rewards honestly. Programs that do enforce cheating rules usually use an escalation approach where the retailer first receives a warning and is given time to rectify the situation. If infractions continue, the penalties usually grow in severity.

Publish a Program Manual: As you can see, you’ll have to establish many program rules and these rules will need to be clearly communicated to the program participants. Many program managers do this by publishing an annual program manual that describes both the rewards and the rules.

Final Points

The primary point we hope you take away from reading this paper is that combining a significant reward program with your CX program is a very big decision that needs to be considered carefully. It is a decision that is usually very difficult to reverse.

Once you start giving rewards based on customer experience, if you decide not to continue to do so in the future, your retailers will likely interpret that decision as, “the company doesn’t prioritize customer experience anymore.” As a result, your customers’ experiences will probably suffer.

Finally, if you add a rewards component to your CX program, your program will likely become much more complicated. Many decisions will need to be made about such things as the ultimate goals of the program, the criteria for inclusion, and how success will be measured and rewarded. You will also need to implement many new rules and procedures to oversee the program.

Overall, a well-designed and well-executed reward program can have a meaningful impact on the loyalty and behavior of your stakeholders.

How Hospitality and Entertainment Brands Can Future-Proof the Guest Experience

There’s a path to providing better guest experience, and it begins with considering what guests are truly after (it’s much more than a purchase) and leveraging the right strategies that can help you improve the guest experience today and redesign it for tomorrow.

Last week, I led a roundtable discussion at the Future Guest Experience 2019 conference, where I had a chance to chat with executives and CX experts who are searching for ways to future-proof their guest experiences.

One of the biggest challenges that I’ve seen businesses face today is creating experiences that are both consistent and memorable. The truth is that it’s no longer enough to provide an experience that is solely consistent or memorable; the former lacks novelty, while the latter lacks, well, consistency. At the same time, companies must also strive to provide these experiences today and in the future—essentially “future-proofing” their brand against issues that guests might experience with it.

Fortunately, there’s a path to providing better guest experience, and it begins with considering what guests are truly after (it’s much more than a purchase) and leveraging the right strategies that can help you improve the guest experience today and redesign it for tomorrow.

Here are a few strategies to get you started:

Improving Experiences Today

In today’s experience economy, it’s no longer enough for a business to merely provide products. Guests seek much more than a transaction; they’re after an emotional connection that creates a memorable experience.

Consider a guest who meets with their friends regularly at a restaurant; eventually, their experience transcends ordering an appetizer and becomes fond memories of dinnertime conversation. Unfortunately, typical survey approaches cannot capture the emotion that makes these experiences memorable.

Just so we’re clear, questions that offer guests a zero-to-ten scale to define their satisfaction aren’t going to properly reflect those guests’ true feelings. The best way to capture a guest’s experience is to let them describe it in their own terms. 

In my experience, providing surveys with open-ended questions, reading comments and analyzing the common themes therein are an effective means of identifying today’s drawbacks and successes. Using this method, businesses can pinpoint where they might be coming up short and—thanks to that aforementioned feedback—create plans that result in transformative change and consistent, memorable experiences.

Redesigning for Tomorrow

Companies that leverage CX technology to staunch today’s problems are well-positioned to keep them from popping back up tomorrow. The only way to truly future-proof an experience, though, is to stay proactive. 

Future proofing starts with combining guest and loyalty data. Companies that can accomplish this will achieve an unparalleled view of the brand experience that their guests are having. That’s what future-proofing is really about: capturing guest data and preferences at the point of contact, then using that information to design new, more personalized experiences.

Numerous companies are taking advantage of future-proofing. For example, several retailers have begun combining facial recognition technology with CRM data; this information is then forwarded to frontline employees to ensure a more personalized experience.

What You Need to Future-Proof Tomorrow—Now

I’ve seen companies that take the time and effort to use unstructured guest feedback capabilities reap sizable benefits. At the same time, it is important to remember that the intelligence you receive from your guest experience efforts is only effective if you act on it.

That proactivity shouldn’t be limited to guest experience, either. Companies that can combine CX data with the right hiring, onboarding, and training processes to deliver a better employee experience will be best-positioned to future-proof their experiences. The more of these pieces that businesses have in place, the better off their future-proofing will be.

Of course, all of this is easier said than done. Even the most CX-savvy companies may find it challenging to isolate their brand’s signal from the noise and balance short-term fixes with long-term improvements. InMoment’s customizable guest experience platform and inveterate consultants make it an ideal place to start for any company considering future-proofing. 

If you’re ready to take the next step toward improving your guest experience today and creating memorable experiences tomorrow, reach out and schedule a demo today to see how the InMoment platform can work for you!

Eric Smuda has built a distinguished career out of turning venerable brands into CX powerhouses. His novel, impassioned approach to customer experience implementation changed the face of the rental car industry, in which he found award-winning ways to connect customers and companies. It’s only fitting, then, that Eric serves as a Principal of CX Strategy & Enablement at InMoment, lending his seasoned perspective to many of the company’s strategies.

Financial Services Disclosure Compliance Monitoring

The story of this Australian financial services firm shows how new Regulatory Technology solutions for financial disclosure compliance monitoring can help firms reduce their costs and non-compliance risks by empowering, not replacing, human auditors.

Financial services firms around the world face strict regulations around disclosure compliance and monitoring. For example, the Australian government mandates that financial Statements of Advice (SoAs) include disclosures covering conflicts of interest, own-product recommendations and more. Each disclosure, in turn, may contain a dozen or more sub-components. This adds up to a major burden for the service provider. On average, globally, financial firms dedicate 10-15% of their workforces and spend a combined $270 billion on regulatory compliance annually. New Regulatory Technology solutions can help financial services firms lower the costs associated with disclosure compliance monitoring and reduce their non-compliance risk. Here’s how.

The Costs of Non-Compliance are Huge and Growing

The cost of compliance failure is huge and growing. McKinsey found a 45x increase in regulatory fines and settlements over 5 years. GlobalScape estimates that non-compliance can cost a firm up to $39.22 million in lost revenue, business disruption, productivity loss and penalties. And the Institute of International Financial says compliance can cost a firm over $1 billion per year.

Chart showing the costs of Financial disclosure non-compliance
From Lexalytics’, an InMoment company,AI for Regulatory Compliance white paper

Meanwhile, a 2016 BBVA Research report found that financial services firms are dedicating around 10-15% of total workforce just to governance, risk management and compliance – that number has almost certainly gone up in the intervening years. In the very next sentence, the same report identified “compliance costs” and “reliance on manual processes in data management” as two of the top issues facing financial institutions.

Financial Document Templates Are Great for Disclosure Compliance, But You Have to Go Further

Faced with strict disclosure mandates, many financial firms build libraries of document templates. Each template is “pre-loaded” with all of the proper disclosures and legal language. Each advisor or broker then modifies the appropriate template, such as a Statement of Advice, on a client-by-client basis. As far as reducing non-compliance risk, this strategy is certainly a good start. But it’s not enough on its own.

The problem is that an average-size financial services firm may produce thousands of pages of client-facing documents every week. In the process, important disclosures may be accidentally modified or removed entirely. What’s more, the sheer volume of data and information in each document may obscure problematic or even predatory advice.

Many firms rely on spot-checks and keyword searches to confirm disclosure compliance and ensure that their advisors are working in each client’s best interests. But this process is slow, costly and unreliable.

Consider this: Looking for individual keywords may return hundreds of irrelevant matches littered through a document. Searching for whole phrases may miss where a disclosure has been truncated or deleted. And how can you use keywords to search for bad advice?

Document templates are a start. But you have to go further.

This is where Regulatory Technology (RegTech) comes into play.

Quick Context: What is Regulatory Technology? and Why Do Many “AI for Regulatory Compliance” Tools Fall Short?

Regulatory Technology (RegTech) is a category of systems that help companies comply with government regulations. For example, solutions like NetGuardians help companies with identifying, tracking and managing fraud incidents.

The RegTech market is hot. Between 2012 and 2017, RegTech companies raised $2.3 billion in funding, according to CBInsights. And ComplyAdvantage reports that the automation of due diligence is at the forefront of the RegTech revolution. But they caution that custom-fitting is key. Indeed, our own research supports the idea that one-size-fits-all RegTech solutions are, by their nature, more likely to fail.

The truth is, traditional data analytics tools often can’t handle legal, financial and and medical documents. In short, many RegTech tools don’t have the technology they need to parse the structure and content of regulatory documents. As a result, disclosure compliance systems may leave behind valuable data or overlook important context. (More info in this client story)

Story Time: A Financial Disclosure Compliance Monitoring Solution That Empowers, Not Replaces, Human Auditors

An Australian financial services company came to Lexalytics for help reducing the time they spent auditing hundreds of pages of Statements of Advice (SoAs). Regular contract analysis tools couldn’t be customized to do exactly what they wanted. And costly failures of other large-scale AI systems had made them wary of entrusting millions to one of the Big Tech companies.

So, rather than building a high-cost, high-risk “AI for disclosure compliance,” Lexalytics focused on improving the Australian firm’s existing process.

Chart showing technologies used in Lexalytics' financial services disclosure compliance solution
Lexalytics combined several technologies to build a bespoke financial services disclosure compliance solution

First, we trained our semi-structured data parser to understand the underlying structure of Statement of Advice documents. This included teaching the parser how to identify where sections begin and end, such as Scope of Advice and Duty of Disclosure portions.

Then, we built a custom natural language processing configuration to extract and analyze entities and other text elements. In an SoA, important entities are things like recipients, needs, goals, product recommendations, risk attitude and the actual disclosure statements.

Finally, we built a connector to structure and export the resulting data into a simple spreadsheet. (Then, based on user feedback, we made a few tweaks to how the data is organized and displayed.)

Using this system, the firm’s auditors can see at a glance whether proper disclosures were made across hundreds of SoA documents, and even where an advisor’s recommendations may go against their client’s stated goals and risk attitude. This substantially lowers their time spent on SoA review, reduces their non-compliance risk, and helps them demonstrate disclosure compliance whenever needed.

"Illustrated

(See this other white paper for more on the process we followed for building this “semi-custom” regulatory compliance application.)

How to Build a Better Regulatory Compliance Solution

Regulatory compliance as a field varies by industry, by country, and even by company. This means that every compliance challenge is unique to some degree.

What’s more, the nature of the documents involved in regulatory compliance means that to build an “AI for regulatory compliance,” you need more than just AI. In fact, you need a combination of semi-structured data parsing, natural language processing, and machine learning. (More on why that is in this paper.)

Of course, not every RegTech system will necessarily need all three technologies at the same time. Our financial services disclosure compliance monitoring solution, for example, only uses semi-structured data parsing and natural language processing. (Of course, the NLP itself involves a lot of machine learning.)

Together, these factors mean that traditional data analytics techniques and one-size-fits-all compliance tools will often, by their very nature, fall short.

To really solve regulatory compliance problems, the most important thing is to choose a solution provider who combines the following characteristics:

  1. Has all three of these technologies at their disposal (semi-structured parsing, NLP, and machine learning)
  2. Can demonstrate that they know how, and where, to use them (and when not to use them)
  3. Demonstrates a proven methodology for building a system that’s custom-fit to your unique needs

Feel free to contact us if you’d like to discuss your own regulatory compliance challenges and how Regulatory Technology could help reduce your costs and risk.

Why Measuring Employee Experience Builds a Better Customer Experience

To better understand how to improve customer experience, companies need to harness the positive effects of employee experience. This starts with accurately measuring employees’ true feelings about their roles and the overall workplace. From there, a business can develop an actionable EX index and use it to focus their resources and drive impactful change. 

Customer experience (CX) is often driven by one seemingly universal edict: The customer is always right. But forward-thinking companies are gathering data about what actually pleases customers—and it turns out employees’ own happiness is an integral factor.

InMoment’s own CX Trends research found employees are the single largest factor in making or breaking the customer experience. The data shows a positive link between employee experience (EX) and a great customer experience, in addition to significant financial gains like increased sales and the ability to maximize business performance. In fact, companies in the top quartile for employee experience see triple the return on assets compared to those in the bottom quartile. 

Employees who feel engaged and valued will often remain loyal, productive members of their company. They’re also more likely to turn this positive energy toward tasks that benefit customers, whether they’re helping a shopper choose a new outfit or writing code for a customer-facing app.  

To better understand how to improve customer experience, companies need to harness the positive effects of employee experience. This starts with accurately measuring employees’ true feelings about their roles and the overall workplace. From there, a business can develop an actionable EX index and use it to focus their resources and drive impactful change. 

However, working for a company inspires emotions, purpose, and connections that can’t be measured by only asking simple questions. This means metrics like Employee Net Promoter Score (eNPS), which doesn’t target these factors and instead is rooted in gauging an employee’s enthusiasm, are inherently inaccurate. The eNPS metric is also based on the misconception that people are as likely to recommend a workplace as they are to recommend a product or service; in reality, they’re notably less likely to do so.

Therefore, companies need to apply behavioral science to truly understand employee experience and employee engagement, and how it ultimately drives customer experience. We recommend measuring the following five elements, which were partly informed by a definition developed by Dr. Wilmar Schaufeli, professor of work and organizational psychology, and his colleagues.

#1: Vigor 

This is the energy an employee invests in their job, and the inspiration they draw on during tough times. Vigor measures an employee’s feelings surrounding their work rather than how they execute that work. 

#2: Absorption 

Absorption measures the way vigor appears in employees’ day-to-day work. In this sense, absorption is defined as the state of being so immersed in a task that employees have no desire to break away. 

#3: Dedication 

Dedication indicates employees’ long-term commitment and pride in their work. It shows how both emotion and action last over time. 

#4: Culture

An employee can’t sustain high levels of vigor, absorption, and dedication without a strong, positive work culture to support them. Culture isn’t just benefits and perks; it’s a sense of fitting into a larger, more meaningful whole. 

#5: Orientation Toward the Customer

A great employee experience does more than keep employees happy: It drives meaningful results for the customer. Companies should check in to make sure employees are directing their energy toward this key goal and others that are relevant and strategic to the brand.

When it comes to employee experience, employee engagement is only part of the story. That’s why, to gain actionable insights and improve customer experience, companies should measure external factors that drive employee behavior, as well as employee experience’s impact on customer experience at their specific company. Are employees directing their vigor at serving clients or impressing their managers? The answer matters to your long-term customer experience—and long-term success.

Learn more about the specific questions you should be asking your employees in this featured article!

Employee Experience and Patient Experience Go Hand-in-hand

Let’s be clear: I love my job. Truly. In fact, I’m one of those people who truly enjoys going to work. Sickening? Perhaps. But hang on…here comes the punch line: it’s been A WEEK. School is back in session, which means a new and unfamiliar schedule…and necessary bedtimes. (I really dislike bedtimes, especially on beautiful August summer evenings here in WI.) Kid sports and activities are again in full swing, most nights of the week. And we’re nearing Q4 on the business side of things, which means…client budgets need to get used and therefore, we are UBER busy. Which truly, is a good thing.

What’s not a good thing? The 13 hours of sleep I’ve managed across the last three nights. And, confession time: I’m simply not my best in this intense a situation, on this little sleep, with this level of stress. I’m not patient, I’m less kind than I should be, I don’t listen to my kids and husband very well, and I don’t truly engage in my life. I’m surviving.

After the week started the way it did, I saw this meme on a social media site the other day and it struck a chord with me. UNTIL, I had a friend say to me, “You don’t want to be a survivor, a warrior…you were made for better – you’re a THRIVER.”

And you know what? She was absolutely right. All the personal stuff aside, when I’m stressed, tired, overwhelmed, I’m most certainly not as professionally innovative and sharp as I know I’m capable of. And it got me thinking…healthcare professionals, with whom we are working more and more, work in this type of environment frequently. The stress, the “go-go-go,” the utter fatigue…this is a common scenario for many of those we trust to help us get and remain healthy – our physicians, nurses, and the office and admin staff that support them.

You know those moments when you stop in your tracks and think “holy cow?” Yeah, I had one of those moments. Because about a month ago, the pediatric after-hours line sent me to the emergency room with a sick kid. A physician friend on staff that night came out to greet us. He then stopped in our room to check in again at the end of his shift at 12:30 AM before heading home to his wife and three kids. Thinking back now, I realize how much better our experience was that night because this employee cared.

This is one key reason why we need to care about – and measure, monitor, and respond to – the EMPLOYEE experiences in healthcare, and not just the patient experiences.

These physicians, nurses, office staff, they are human and prone to human emotions, reactions, flaws just like the rest of us. Which means that they also get tired, frustrated, and stressed – and that this can also impact the way in which they perform their jobs that day.

As was the case for my family that night in the ED, these employees are the ones that can make or break a patient experience. And that night, we were fortunate to have care reflective of a healthcare organization that values, appreciates, and actively works to engage its employees in their roles.

Recently, I was trying to schedule a specialist appointment for my son and the “first available time” was 4 months out. My poor child suffers from major allergies, has asthma, and we couldn’t get his prescription renewed until we’d visited his allergist. Realistically, by the time we’d have been able to get in, all the allergens would have been frozen out, since we live in the frozen tundra of Wisconsin, so it made more sense for us to cancel that appointment and free that slot up for someone else!

This brings us to a second reason why we must care deeply about healthcare employee experience: the current shortage of healthcare professionals.

The Bureau of Labor Statistics, in 2018, projected that 1.1 million additional nurses are needed to avoid further shortage, and that as a profession, employment opportunities for nurses will grow at a faster rate than all other occupations from 2016-2026.

There’s a similar story on the physician side, with the Association of American Medical Colleges projecting a shortage of 120,000 physicians by 2030. With Baby Boomers getting older, this shortage will only increase due to increases in patient volume and demand, and as Baby Boomer healthcare professionals retire.

Undoubtedly, these shortages will impact both availability and quality of care. While not a macro solution, one way healthcare systems can proactively mitigate these shortages on a local level is to focus on efforts designed to retain their teams. Employee retention is a complex concept, and impacted by a variety of factors: the nature of the work, the employee’s manager and teammates, the work environment, work-life balance, perceived value of the work the employee does, etc.

Understanding what matters to healthcare employees, and actively working to engage them is going to be critical in both the short and long term.

I was reading an article recently about a nurse on her way to work who, upon seeing a mother running down the highway, pulled over and was able to revive the woman’s non-breathing infant child. When these stories make the news, two things often strike me as consistent elements: the individual involved in the life-saving measure is a healthcare professional, and the drama has played out outside the confines of the hospital or clinic in which this healthcare professional works.

But here’s the thing: this is what these professionals DO. Not all may actually work in a role in which they are called to save lives on a daily basis, but on the whole, it is these same employees, going about their jobs on a daily basis, who are frequently the reason why a patient in their care has lived instead of died.

This story illustrates a third reason why a program measuring a holistic patient experience MUST also include measurement of employee experience. The actions, the attention, the engagement of the doctors, nurses, in-take staff are often what separates patients from life or death.

Healthcare systems and hospitals are the entities that have the power to proactively understand and manage the employment experiences of their employees. Whether they do so, not only impacts the delivery of care, it can literally mean the difference between life and death.

So how can the healthcare industry value their employees while providing an excellent patient experience? Below are some best practices to be considered:

  • Include employees in conversations that involve patient feedback and care, as they are the ones who interact with patients day to day. Paying attention to feedback can help bridge the gaps in experiences for both patients and employees. Employees need to know that their voice is valued.
  • Remember that employees are human. Healthcare industry leaders are in position to look out for the physical, emotional, and mental well-being of their employees. Something simple like providing a meal during a long shift, or making sure employees are highlighted for their important work is a good way to start. Recognition goes a long way, and helps employees feel valued by the patients they serve.
  • Provide growth opportunities for employees, allowing them to learn new things while helping them with their career paths. This not only makes the employee feel valued, but also increases loyalty to patients and their respective healthcare employers.

Spare a thought for the millions of emails that are never opened.

For the millions of letters that are never read.

For the millions of website clicks that never reach conversion.

For the millions of full baskets that are never checked out.

For the millions of forms that are never filled out.

For the millions of conversations that leave the customer unsatisfied.

Despite the strive for customer-centricity, many businesses have forgotten what is most important: the customer. So how do we bring back the human touch?

More and more customer experience teams are starting to use principles from Behavioural Science to transform their customer experience. Want to try taking this innovative approach for yourself?

Below are three reasons to start incorporating nudges from Behavioural Science in your customer experience today:

1) You Can Use Behavioural Science to Better Understand and Change Customer Behaviour

There is no doubt that Behavioural Science provides a compelling toolkit for understanding what is really going on inside customers’ brains. Behavioural Science uses these customer insights in order to change behaviour and drive compelling results.

For example, when our brains are faced with too much information, we experience “cognitive overload.” To reduce this problem for one of our clients, we helped them to “chunk” complex information in phone calls into digestible parts. This made it easier for customers to take action, and improved the sales conversion by +68.5%.

2) Behavioural Science Transforms the Internal Customer Experience for Employees, as Well as the External Experience for Customers

The brilliance underpinning Behavioural Science is that the human insight is universal. We’re using the very same techniques to improve the experience for employees and, by doing so, this creates valuable experiences for customers.

For one of our clients, we used the principle of “reciprocity” to make conversations in contact centres more meaningful and fulfilling for both employees and customers alike. Customers aren’t saying, “I don’t know what you mean,” anymore, and employees are enjoying their conversations more.

As a result, the churn rate of staff is down to a one quarter of the previous levels, and employee NPS has improved considerably.

3) Behavioural Science Benefits From Academically Rigorous Techniques that Prove the Value of Customer Experience Transformation

Customer Experience Transformation Programmes are often challenged on their ability to deliver concrete value to the business, and one of the benefits of Behavioural Science is its academic rigour. Being able to prove that customer experience interventions are backed up by science is a real asset in a business context.

Randomised Control Trials, A/B split tests, MVTs all combine to accurately and statistically prove the value of any investment, and make a robust business case for future investment.

In order to demonstrate the value of using Behavioural Science to transform customer experience, we work with our clients to design rigorous experiments.

In one such experiment, we demonstrated that our Behavioural Science intervention delivered transformational commercial returns of £37:£1.

There’s no doubt that using Behavioural Science allows you to deliver a superior customer experience with transformational results. If you’d like to learn more about how you can start using Behavioural Science to improve your customer experience today, come and say hello at the Cowry Consulting stand at CXForum on the 9th of October.

www.cowryconsulting.com

How Restaurant Brands Can Guarantee Great Guest Experiences with Third-Party Meal Delivery

Restaurants that do decide third-party delivery services are worth the risk need a way to measure the full effect that these offerings are having on their brand. That means engaging tools within your guest experience management platform to give your brand the opportunity to connect with diners as if you were delivering their meals yourself.
Pizza

To leverage a third-party delivery company, or to go it alone? That’s the question facing many franchise and independent restaurants. Today’s diners love meal delivery services; the average person has two food delivery apps on their phone and uses them three times a month. More than half (54%) of users start their meal search with a specific restaurant in mind, then look for it in an app. So if your restaurant isn’t available on food delivery apps, guests may move on to your competition. 

But those wary of jumping on board with a restaurant delivery brand like Grubhub and DoorDash worry about putting their guests’ experience—from the state of the food at arrival to the speed at which it arrives—in someone else’s hands. (There’s also the startling fact that one-fourth of delivery drivers admit to sneaking a bite of a guest’s food.)

Restaurants that do decide third-party delivery services are worth the risk need a way to measure the full effect that these offerings are having on their brand. That means engaging tools within your guest experience management platform to give your brand the opportunity to connect with diners as if you were delivering their meals yourself.

In our latest report, “How to Measure the Effect of Third-party Delivery on Your Brand,” we delve into a few ways your restaurant can leverage guest experience solutions to make sure your diners are getting the quality delivery experience they expect. 

Leverage Email Surveys

While guests may be able to gain instant access to your brand’s online surveys via their food receipts, there’s no guarantee with third-party delivery services that those receipts will even reach guests’ hands. 

To combat this potential gap, restaurants can shift their tactics away from receipt feedback requests to follow-up emails. This leverages a key benefit of food delivery services—access to your guests’ personal data, including email addresses—and allows you to personalize emails based on when and what a guest orders. 

When setting up your email surveys, don’t forget to factor in relevance. Since guests who received delivery orders weren’t served in your restaurant (this time), you won’t want to ask questions about your servers or cleanliness. Instead, focus on the flavor, temperature and quality of the food. Asking the right questions shows guests you’re paying attention and are truly invested in their overall experience.

Contrast Guests’ Experiences

One of the many advantages of a leading guest experience management platform is that it can measure multiple touchpoints. While your goal may be to gather feedback on guests’ food delivery experience, you can also compare and benchmark that data against their dine-in visits. You can even go so far as to break down those third-party experiences by brand (DoorDash, Uber Eats, Grubhub, etc.) to see which is best representing your restaurant—and which one could be doing damage.

Your most important benchmarking data, however, will come from crunching some numbers. Work with your guest experience team to find an average spend for each guest in a variety of groups (dining-in versus delivery, one third-party brand versus another, etc.). When you multiply that number by the amount of negative experiences in each group, you’ll gain a window into your potential losses if those guests leave your brand—and the numbers show exactly where you need to improve. 

Find Out What’s Really Important to Your Guests

At its core, the ultimate goal behind guest feedback is to maintain a quality experience, improve your service based on wants and needs, then maintain guest loyalty. We already know that more than two-thirds of guests report that “staff interaction” highly influences their ongoing brand decision making. But what about guests who receive your food via third-party delivery services? We can’t assume they’re influenced by the same factors.

That’s where follow-up email surveys can prove a gold mine. Nearly one-third of diners say they buy more food when ordering delivery versus dining in. Why is that? What extras are they ordering? Additionally, you can gain feedback about the delivery experience beyond food. More than one-third (36%) of guests say they would pay more for eco-friendly packaging—do yours feel the same? Do they prioritize friendly drivers and speedy delivery? Your survey can reveal answers to all these questions.

Restaurants that use third-party delivery know they’ve already opened up a variety of new revenue streams. But there’s plenty they don’t know about food delivery experiences. Guest experience management platforms deliver the tools to clear up these mysteries, and help restaurants maintain great diner experiences, no matter where they’re eating. 

To learn more about how you can use your guest experience management platform to guarantee great experiences with third-party delivery, check out our latest eBook, “How to Measure the Effect of Third-party Delivery on Your Brand.”

How to Create a CX Strategy for Sustained Success

The good news for CX practitioners is there are simple measures you can take to ensure your CX strategy is not only effective, but fosters relationships with buyers to increase customer satisfaction—and most importantly, retention. 
Create a CX Strategy for Sustained Success

For brands looking to gain a competitive edge in a customer-centric, digital-first era, quality customer experience (CX) separates the companies that excel from those that fall behind. 

Despite valiant efforts from brands to make customer experience strategies a core part of their business, 70% of CX initiatives risk losing funding—and failing altogether—by not providing enough business value. And while roughly 80% of brands want to compete based on customer experience, only 7% of CX strategies result in competitive differentiation.

However, these numbers aren’t cause for panic. The good news is there are simple measures you can take to ensure your CX strategy is not only effective, but fosters relationships with buyers to increase customer satisfaction—and most importantly, retention. 

3 Steps You Can Take to Improve the Lifespan of Your CX Strategy 

Good CX strategies involve more than occasional customer surveys and scoring systems. They need to be actionable, iterative plans that evolve with customer habits and expectations. 

Simon Fraser, VP of XI Strategy, discussed CX challenges facing brands in the webinar Delights, Customers, Action, where they uncover what you can do to overcome CX strategy-related challenges, and develop a plan for success:

Step 1: Take time to ask questions before you roll out a strategy.

It’s difficult to thoughtfully execute CX initiatives when you don’t take the time to ask yourself, “What do we want to accomplish?” Before implementing a full CX strategy, work with your team to compile answers to a few key questions. What is your desired outcome? What obstacles can you anticipate? Who needs to be involved? Once these questions have been asked you can get to work on answering each one, and ensure your strategy addresses any preemptive concerns. 

Step 2: Don’t be afraid to test and reimagine your strategies.

Brands often get caught up in early CX success and become complacent, instead of focusing on how they can continue to improve. It’s important to remember that successful CX strategies should involve ongoing testing, validation and iteration. Factors like buyer expectations constantly shift—and you’ll want your strategy to adjust accordingly. 

Step 3: Make customer sentiment a part of your CX strategy.

Great customer experiences involve fully listening to customer stories. And when you go beyond quantitative customer experience metrics, you unlock customer intelligence that allows you to understand and identify the actions to take based on what creates those meaningful, memorable experiences. Take this information and integrate it into your CX approach. That way, you can not only continuously improve, but you can also iterate your strategies based an actionable, first-hand data. 

Customer experience shouldn’t trip up organizations. It should be an opportunity to understand your core buyers, drive ROI and gain an edge on competitors. And by taking a careful, comprehensive approach to developing your CX strategy, the chance of sustained success only improves. 

MaritzCX is the first and only CX platform company that’s been CMS-certified to offer Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS®) surveys.

Identifying the need for an all-inclusive, customizable patient experience survey and reporting framework, we developed the MaritzCX Patient Experience Platform, the healthcare industry’s first CX-based patient experience platform.

The platform allows for HCAHPS, patient experience, employee experience, safety and quality, point-of-care/rounding, operational, financial, and clinical data can be uploaded into a single platform, in real time.

With an inclusive view unlike anything before, healthcare organizations can identify more significant and impactful improvements to enhance patient experiences, scores and reimbursement.

They can also view and analyze patient experience data from multiple sources and surveys to gain a more comprehensive view of what impacts the patient journey.

 

“Healthcare organizations have long looked for patient experience best practices outside of their industry. Meanwhile, MaritzCX has spent 50 years implementing customer experience best practices for leading global organizations in industries that include hospitality, retail, high tech, and financial services. Finally, MaritzCX has smashed the regulatory and technology barrier between the two arenas. MaritzCX has spent the last two years building a platform that offers the functionality needed to revolutionize the patient experience. With the MaritzCX Patient Experience Platform and CMS certification, we help healthcare firms break free of the inflexible and stagnant offerings provided by current patient experience vendors in the space today.”

— Mike Sinoway, MaritzCX President and CEO

 

Hospitals and Patients Benefit from a Revolutionary Patient Experience Platform

  • Limitless Customization Capability

 From self-serve to full-serve with MaritzCX experts, healthcare teams can easily design survey questions down to the level of each individual patient, if desired. Customization extends to dashboard views, reports and distribution options directly within the platform.

  • Seamless Integration with Existing Systems

 Easily integrate current survey initiatives and systems into the MaritzCX Patient Experience Platform and view data from HCAHPS, Safety, Quality, Employee Experience or any other data source in one place. Viewing data dynamically together aides in understanding connections and performance.

  • Patient-centric Platform

Make the patient the priority and offer options via responsive mobile, text, email, online and mail capture feedback from beginning to end along the patient journey.

  • Employee Experience (EX) and Patient Experience (PX) Linkage

MaritzCX is the only firm that focuses on true EX-PX linkage and transparency of patient experience data across the organization, coupling it with employee awareness, training, management and recognition/reward programs. This linkage helps PX teams get to the root of organizational change (employees) to positively impact patient experiences.

 

Customer Experience Experts that Know Patient Experience Too

Experts in customer experience, MaritzCX is the only CX platform company to earn CMS certification. Our Patient Experience Platform is built, supported and implemented by MaritzCX, ensuring complete HIPAA compliance.

Click here to start improving your patient experience today.

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