Best Practices to Improve Experiences in a Patient-as-Consumer World

In just a few short years, technology and business innovations have fundamentally changed how people interact with—and what they expect from—the services and organizations they depend on. Today, the unavoidable fact is that people make decisions and invest their loyalty based mainly on experiences, not necessarily the nuances of products or services.

This consumer-focused and experience-driven reality has profound implications for the healthcare industry. People expect fast, deeply personalized, and highly mobile experiences in nearly every aspect of their lives. They won’t tolerate long wait times or dismissive providers. And they won’t hesitate to share their opinions on social media, use the power of the Internet to investigate other options, or switch to a healthcare provider that offers them the kind of patient experience they expect.

In this landscape, your organization simply can’t afford to stick with the status quo or fall behind the patient experience curve. You need more effective, innovative, and unified programs to understand every aspect of your patients’ journeys; accurately measure their experiences; and quickly convert all the patient data you collect into practical, meaningful improvements. And you need to get there quickly.

1. Fully Explore and Understand the Challenges

There are legitimate reasons why healthcare is rarely at the top of people’s “best experiences” list. Understanding what those reasons are, how they impact your patient experience efforts, and what you can do to overcome them is the first step in taking your patient experiences program to the next level.

Siloed and Regulated Patient Data

In the healthcare industry, incredibly rich sources of data are sitting in various safety, quality, point-of-care, operational, and employee systems, but all that information is locked inside protected, regulated silos where it serves a narrow purpose that is completely disconnected from patient experience concerns. This inevitably leaves you with a narrow, incomplete view that limits your ability to understand the complete patient experience.

Limited Standardized Survey Tools

Since CAHPS inception in 2006, the surveys have brought public accountability to the healthcare industry, and an increased focus on patient satisfaction. But now, forward-thinking organizations are looking for immediate, within hours, feedback instead of weeks, from social media and other digital channels, and there are new innovative tools that can supplement patient feedback.

Ingrained Cultural Mindsets and Processes

Healthcare professionals are dedicated to providing the best possible care for their patients, and they do a remarkable job. But depending on the circumstances, the experiences that surround that care can leave something to be desired. Complex regulations and internal processes create confusing check-in procedures and stacks of paperwork. Budget-driven understaffing leads to long wait times and rushed, overextended providers. Understanding the root of the problem is key in determining what actions are needed to make the working environment and patient experience better.

2. Overcome Challenges with an All-Inclusive, Results Driven Approach

When you fully understand the scope of the patient experience challenges you face, it’s clear that more patient surveys and a deeper investment in standardized CAHPS surveys is not the answer. Jumping to the head of the patient experience pack will require a more flexible, holistic, and results-driven approach.

Embrace a Centralized Technology Platform to Unify Patient Data and Additional Research Capabilities

An all-inclusive approach to patient experience has to start with a centralized technology platform that combines all of your patient data sources into a single, unified, and multi-faceted view. It is imperative that patient experience organizations leverage a technology platform that takes advantage of CAHPS, adds depth and flexibility to collecting patient data, and engages with patients in different ways, traditional mail, email, mobile, social media, and more.

Data and technology are essential components of any all-inclusive patient experience program. But you can’t reach your full potential without some proven customer experience strategies and proven services like understanding the patient care journey, easily customizing and personalizing patient survey design, adding a governance component to your strategy and plans, and being able of dig deeper into data using some type of true driver analysis tool.

The healthcare industry can learn a lot from customer experience programs in other industries. But that requires experts who understand both customer experience best practices and the complex nuances of the healthcare industry.

3. Design, Diagnose, and Deliver a World-class Patient Experience Program

It’s important to understand the big picture. But what does an all-inclusive program look like in practical terms? And what does it allow you to do that you can’t do today? Here are a few practical capabilities and benefits you can look forward to with a comprehensive patient experience program.

  • All of your existing survey tools, including CAHPS, become part of an all-inclusive patient experience program, visible within one platform.
  • Surveys are easy to customize and change, so you can design them for each individual patient, collect more reliable data, and measure every patient’s complete journey.
  • Patients can access surveys using whatever methods they’re most comfortable with – from completing a paper survey and mailing it to tapping responses on a smartphone.
  • Data from every source is instantly uploaded to a platform, so you can combine survey data with safety, quality, operational, financial, and clinical data to gain deeper, more complete insights and pinpoint specific areas for improvement.
  • Use tools to call out immediate action
  • Learn about patient experience services to fill gaps, meet specific needs, and enhance and expand every part of your patient experience program.
  • Follow a specific, step-by-step patient experience roadmap – based on best practices and created specifically for your organization – so you can focus your efforts and resources on initiatives that lead directly to your desired outcome.
  • You should leverage expertise from customer experience (CX) best practices to enhance your team and guide your efforts.

Find out how healthcare organizations break the mold and build a results-focused patient experience program that’s built to meet the expectations of modern patients in the digital age. Contact us at 385.695.2800 (8am-5pmMT) or visit www.maritzcx.com/patient-experience

 

 

 

5 CX Insights You Might Have Missed in 2019

Today’s oversaturated markets make it difficult to stay on top of all CX insights, intelligence, news and trends. To help you sort through the massive amounts of market information, we’ve gathered some of the best CX insights from 2019 that you might have missed so you can better prepare for 2020.

Insight #1: Optimize the feedback experience.

It’s what your customers want. 

Did you know that 70% of your customers want direct feedback? Our survey revealed that consumers want to be heard, but not in the same way as before. Traditional modes of feedback like long-winded surveys no longer cut it. Users demand a beautifully designed experience that expedites customer service—without skimping on the service portion. 

One way to achieve this is by integrating intelligent conversations in real time to improve your CX insights. Showing that you care as a brand makes customers more likely to tell their story (and for it to be positive). By building a customer-centric culture, you’re establishing not only trust between the brand and consumer, but you’re creating a more engaging and meaningful experience for everyone involved.

Read more…

Insight #2: Build your employee experience index. 

Gain CX insights from EX improvements.

It’s no secret that customer experiences and employee experiences are more connected than we think. As a result, business success cannot be achieved if one is neglected. However, it’s important not to treat EX and CX feedback the same. 

As referenced by InMoment VP, Customer and Employee Experience Strategy Paul Warner, work and organizational psychology professor Dr. Wilmar Schaufeli suggests organizations focus on the three tentpoles of employee engagement: vigor, absorption and dedication. Building your employee experience index and taking effective action is extremely crucial for growth. By first listening to employees, then acting on that feedback, you’re working to create meaningful changes that start at the employee level, trickle down to customers, and offer actionable CX insights.  

Read more…

Insight #3: Create an effective listening strategy.

Ask the right questions to gather better CX insights.

You can’t predict customers’ needs, but with the right tools and information, you can better curate their experiences. Start by asking better, more relevant questions that allow them to tell their stories. Guests want to engage with a brand that makes them feel seen and heard, and takes their feedback into account. Creating an effective listening strategy that gathers the voice of guests and employees will also help you fulfill all their needs to create a better, more positive experience.

Read more…

Insight #4: Take a more personal approach.

Treat your customers like friends.

When it comes to customer appreciation, it’s important to go above and beyond. Effective brands with stellar customer reputations are those who accommodate several feedback options. While some customers prefer a phone call, others feel that chatbots or email work better with their schedules. A more personalized approach facilitates stronger brand-to-customer connections and grants an opportunity to gather CX insights.

Read more…

Insight #5: Leverage feedback.

Learn from CX insights, gather feedback, and then use it.

Surveys aren’t useful unless you do something with the results. It’s imperative for brands to use CX insights to capitalize on the unique things customers like about their brand, and quickly solve for things they don’t. Some organizations struggle to understand how leveraging feedback can lead to tangible change. As InMoment VP of CX Eric Smuda explains:

“Better experiences lead to happier customers, more brand loyalty and increased revenue.”  

Useful, educational data comes from the intelligent tools that allow you to understand what your customers want. Companies wanting to stay ahead need to use metrics to develop stronger customer relationships that power business growth. 

Read more…

It may be the end of the year, but it’s never too late to adjust your CX strategy. By implementing these CX insights now, you can better prepare your business to deliver more profound customer experiences in 2020 and beyond.

Top 7 Tips for Writing UX Copy that Improves the User Experience

Software interface design and user experience are interdependent. What connects and drives them is the aspect of visual engagement. If a user finds a platform easy to navigate and enjoyable, they are more likely to use it and to explore additional features, and they are less likely to contact support. These seven tips for writing UX copy will help you contribute to that optimum user experience. Let’s begin by reviewing some fundamentals. 

Fundamentals of Successful UX Copy

People have different attention styles depending on the content, presentation and recurrence of what they are exposed to. Combining visual and text components is important to grasp and guide an individual’s attention when conveying information.
The text content of any user interface has to be:

  • Clear, so users know what you’re saying without confusion or complication;
  • Concise, so you don’t have any extra words or fluff that isn’t necessary;
  • Useful, so the users receive important information;
  • Consistent, so all products have the same terminology, tone, and style. 

Now that we know this, let’s explore the top tips on writing successful copy for UX.

1. Use Real Copy in UI Right Away

UX designers will usually use the “Lorem Ipsum” text when they start work on a user interface. It’s a placeholder text but has no meaning, it just helps them conceptualize what text would look like. This is a bad idea because text should be a part of the design. If it looks good in Lorem Ipsum, it doesn’t mean it will deliver on communication goals once the real text is in place. Using real text also helps to make the prototype feel genuine and easier to connect the concept with the goals. The copy should work with the rest of the layout.

2. Build a Text Hierarchy

Users naturally won’t read every piece of text on the screen. They will scan through it quickly to see if anything jumps out at them. If the hook is good enough, the user will look in more detail. Although pictures are catchier,  text is what will guide users inside a software product.This means that the main message in text should be located right away so the user knows what’s important. 

3. Grab User Attention with Numerals

Studies show that numerals will grab users’ attention when they’re scanning text, even when they’re buried in words. That’s because users think that they’re important facts or stats, which is useful for them. That means your copy can rely on the numbers instead of the word variant. 

4. Be Flexible with Grammar

While it’s important to have correct grammar when it comes to the text UX, if you’re writing microcopy for a button or you have only a few characters to work it, you have to be flexible with grammar. Eliminate all the elements that aren’t important and stay away from complicated sentence structures. For example, avoid punctuation that isn’t necessary. 

5. A/B Test the Copy

The buttons copy is critical for user experience, so you should be spending time to do it right. The button should be clear about what the action is and the next step. It is especially important to test if the designers aren’t the target audience, i.e. if the product is for non-technical users who are unfamiliar with developer jargon. 

6. Be Consistent

You want to make your text natural and consistent, just as though the user were communicating with a human being. Use terminology that makes sense and use the same words everywhere in your copy. Synonyms aren’t useful for a user interface, so avoid putting “delete” in one spot and “remove” somewhere else.

7. Have Accessible Dialogue 

Similar to the previous point, the dialogue should match what the target audience expects. It’s more important to be friendly and accessible instead of being grammatically correct and full of jargon. Make sure you understand your audience and what kind of language they expect. 

By following these suggestions, you can understand the impact that writing has on the user experience and modify your strategy accordingly.

This article was written by Ellie Cloverdale,  technical and career writer with UK Writings and Academized. Ellie loves the intersection between product development and user experience research. 

3 Things That Happen When You Level up Your Customer Strategy from Mystery Shopping to a CX Program

In a world where e-commerce is constantly evolving, more and more traditional quality assessment strategies are becoming obsolete. Even though mystery shopping was once the standard approach to assessing service, new technology proves itself to be more effective and more reliable.

Your organization needs an all-encompassing customer experience (CX) strategy that grants you peripheral views of customer service shortcomings, as well as insights into the most critical lines of your business. InMoment’s latest white paper, “Why a Customer Experience Program is More Powerful Than Mystery Shopping,” details what intelligent technology can do that mystery shopping simply cannot. 

The Benefits of Adopting a Holistic CX Program 

Improving the customer experience doesn’t just affect the customer. Your organization can leverage the insights gained from newly implemented technology to make meaningful, transformative business decisions. Here are a few improvements that a holistic approach to feedback can drive for your business: 

#1: You can more closely assess your CX program, and make strategy adjustments as needed.  

Reviews from mystery shopping companies and other traditional modes of quality assessment tend to accumulate over time. Without having direct and instant access to CX results and reviews, odds are your business will make the same mistakes over and over again, negatively impacting customer experiences. 

But with instant real-time access to results, your organization can quickly and efficiently assess information, making necessary strategy adjustments. InMoment’s XI Platform is comprised of three clouds: the CX Cloud, the Employee Experience (EX) Cloud, and the Market Experience (MX) Cloud. The platform garners different types of data formats, including real-time survey responses, analytics, reporting and alerts that deliver immediate results. With this modern technology in place, these clouds can be used individually, or combined to deliver insights from the most critical lines of your business

#2 Your CX and performance data is carefully and optimally organized. 

Not all businesses are the same, so their CX strategies shouldn’t be either. You need a platform that is flexible enough to support all different types of executives within every area of your organization. With a scalable architecture, data can be obtained, stored, organized and distributed to the right people, at the right time, so that everyone gets the relevant insights they need in their roles—from executives to marketing, and HR. 

Additionally, intelligent automation tools can provide external and internal improvements for both customers and employees. For example, InMoment’s XI Platform allows companies to incorporate tried-and-true feedback (like surveys) in a way that doesn’t complicate processes for customers. The insights and results are received in real-time, allowing companies to respond to feedback and implement changes much faster.

#3 You’ll increase your organization’s revenue and performance. 

Among all the other benefits, an intelligent CX strategy also increases the overall performance and reputation of your organization—and results in a better bottom line. Here are just a few notable numbers achieved through a holistic customer experience strategy: 

  • $23 million in potential revenue one InMoment client gained after implementing a closed-loop system. These kinds of customer improvements can help your company identify and retain at-risk customers, in addition to acquiring new ones.  
  • 3.6x more money customers who have great experiences with a brand are more likely to spend with that brand. With the right CX strategy in place, the payoff will come quickly. 
  • 3% increase in CX-fueled revenue. According to Forrester reports, happy customers account for about a 3% bump in revenue potential in most industries. 

Leveling up your customer experience strategy has both quantitative and qualitative benefits for the entire organization. In a highly competitive market, staying ahead is key to staying on top. To learn more about how our XI Platform can take your CX program to the next level, download our white paper, “Why a Customer Experience Program is More Powerful Than Mystery Shopping” here.

Step into Their Shoes: Creating Personalized, Inclusive Experiences with Foot Locker

We live in a fast-paced and sometimes disconnected, impersonal world. Many prefer texting to calling or face-to-face communication.  We shop online for convenience—and because some of us just don’t feel like interacting with a sales associate. Waiting in line at a store or having to call into a service center can be painful. When the retail experience can sometimes be a hassle, why would we bother buying at brick and mortar when we can from the comfort of our homes?

Retailers are struggling to find their fit in this new world: How do they overhaul the retail experience, bring it into the 21st century, and re-engage with this new type of customer in a personalized and inclusive way?

Customer feedback across many different industries shows one common thread: People want to connect with the brands they love in more than just a transactional way. CX intelligence can help revamp the entire experience, from in-store to online—even in the way brands listen to customers.

Our focus at InMoment is to help retailers embrace the future of feedback and create inclusive and personalized experiences for every type of customer. At Forrester CXSF, we partnered with Foot Locker to share how the global retailer is innovating the customer experience at three main touchpoints to bring about a retail transformation.                

How Consolidated Data Helps Foot Locker Gain Holistic Insights

Consolidating its siloed data into one platform with InMoment, Foot Locker was able to carefully identify a diverse array of customer types, from the sneakerhead who wants the latest and greatest in footwear to up their street cred, to the senior citizen who just wants a comfy pair of kicks. In between are the in and out power shoppers, non-sneakerheads, and many others.

 By specifying different categories of customers, Foot Locker has been able to design personalized and inclusive experiences in-store, online, and during the feedback process. 

Foot Locker’s Power Stores and pop-up retail spots are celebrating the local culture of the neighborhoods they serve. Different from the traditional brick and mortar store, Power Stores are a hub for local sneaker culture, art, music, and sports—featuring wall designs from local artists, and custom shoe designs celebrating their hometown. 

With its pop-up stores, Foot Locker is literally meeting customers where they are, setting up shop for instance in parks where kids are playing ball. By partnering with big brands like Nike, sports stars, and other celebrities, Foot Locker is building a stronger brand connection for its customers, building relationships that will continue to attract them to brick and mortar stores. 

These innovative in-store designs are the result of Foot Locker truly understanding who its customers are, thanks to data consolidation. 

When it comes to feedback, Foot Locker partnered with InMoment to create a more personalized and engaging survey experience. Using InMoment’s Video Feedback and Image Upload capabilities, customers can tell their own stories in their own way.  For example, Video Feedback helped customers alert Foot Locker about online orders that arrived in damaged or crumpled shoeboxes. With Video Feedback, Foot Locker can see, hear, and better understand the customer’s emotion by their tone of voice and body language, and it’s a fast and easy way for customers of all ages to interact with the retailer without having to go to the store or call customer service. 

With Image Upload, one customer shared with Foot Locker how excited she was that her son with cerebral palsy was able to find brand-name shoes that fit over his leg braces. In response, Foot Locker reached out to him directly and sent him a gift card to get another pair. The boy’s mother then sang Foot Locker’s praises on Facebook, reminding everyone to “fill out those surveys…someone is listening!”

If the Shoe Fits, Wear It

InMoment CEO Andrew Joiner believes retailers will only succeed in the future if they follow Foot Locker’s example by looking at the big picture: Who customers are and where they’re connecting with the brand. 

“Don’t just collect feedback from a single point – you will get data in multiple channels, but if you look at it holistically and across every point you’re talking to customers through, you get amazing results,” said Joiner. 

By cultivating holistic data with InMoment, Foot Locker is embracing this changing retail world. It’s promising customers through action that interacting with its team in person, online or through feedback is going to be an excellent experience—something many retailers are failing to do in this new retail atmosphere. 

Creating these personalized and inclusive experiences has kept Foot Locker at No. 4 on Forbes’ Most Engaged Companies List, and has increased its OSAT score by six points since 2018. 

But scores aren’t important. What’s vital is that customers feel that brands are stepping into their shoes and connecting with them on a more personal level. That’s what locks in customer loyalty. That’s why Foot Locker is changing the game. And InMoment is honored to be a part of it. 

How to Use AI to Solve Real Business Problems

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?
Text Analytics in Healthcare: New & Emerging Applications
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 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

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. 

How to Power Your Business Decisions with Customer Experience Intelligence

Last week, I spoke to a group of executives in Singapore about CX intelligence; specifically, how to use it to make meaningful, transformative business decisions. This is an issue for many businesses—according to Forrester, 74% of firms state they want to be insight-driven, but only 29% actually turn analytics into action. How do they do it? By following a few key principles that can help any company unleash its CX data’s full potential.

Principle 1: Structure

I’ve seen companies that have considerable CX programs, but no means of implementing any findings. The only way organizations can make use of CX data is by building governance structures that allow them to do so. These structures should always be accessible to both employees and the high-ranking organizational members for whom that information is useful. 

Businesses that create formal communication channels around CX intelligence and make it easy for business leaders to take action can put intel to greater use than they would otherwise.

Principle 2: Accessibility

Though reporting and action structures are vital to executing on CX intelligence, companies can go further by creating an insights-centric culture. Organizations can achieve this cultural shift if they turn data into intelligence, keep that intel simply formatted, and place customer satisfaction at the heart of their employee engagement strategy. Employees will feel more empowered in their work and will be more driven to keep customers happy.

Principle 3: Accountability

Just as companies that wish to be more intelligence-driven must implement accessible structures and share insights with more employees, so too must they emphasize accountability. Employees should take pride in their successes, but they must also be compelled to own their setbacks. 

Likewise, executives should go beyond merely endorsing CX efforts and give practitioners the resources they need to make their programs successful. Practitioners can get that green light by framing data as a compelling story rather than a set of numbers.

Principle 4: Speed

Every insight has a shelf life. Wait too long to act, and it becomes hindsight. It’s easy for CX programs to become bogged down in endless analysis, but practitioners who can demonstrate their proposals’ ROI, test hypotheses quickly, and execute without fear stand the best chance of arguing that speed really does matter (not to mention sidestepping all the red tape). Typically, managers who are made to understand CX ROI will also understand that time is of the essence when it comes to insights.

Principle 5: Embedment

In my experience, companies that weave CX intelligence into every customer interaction and every stage of their buying journey wield a distinct advantage over competitors that don’t. 

For example, a major UK bank found that some of its customers were angry over how long they had to wait to speak to a representative. After gathering that insight, the bank implemented an action plan: setting their IVR to recognize repeat calls. This system enabled a specialist team to address angry customers faster, resulting in a 20% decrease in complaints. Win-win.

This final principle can only be attained if the four we already discussed are correctly implemented—employees and business leaders who can access a CX-dedicated structure, who are empowered to leverage findings in a timely manner, and who are held accountable for both successes and setbacks stand a far greater chance of succeeding for themselves and their company.

When it comes to using customer experience to help international brands improve themselves, few track records are as impressive as Rob’s. Before joining InMoment as the company’s Customer Experience Strategy Director, Rob used his deep knowledge of customer experience and product management to create meaningful, positive change at Vodafone, MyRepublic and other multinational companies. He strongly believes in keeping people at the center of transformational change, which seems a winning strategy given his clients’ XI success.

Advice on Adding a Reward Component to Your CX Program

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

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

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.

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