Why Put CX Design at the Heart of Digital Transformation?

Hayk Petrosyan
ETEAM
Published in
10 min readFeb 2, 2024

Digital transformation goes beyond addressing technological challenges; it involves crafting meaningful and enjoyable human experiences. By placing Customer Experience (CX) Design at the core of your digital transformation strategy, you can drive significant change without compromising customer satisfaction.

Businesses have various approaches to digital transformation, ranging from implementing new CRMs to reimagining entire business strategies. However, a common thread ties them together: the creation of a seamless customer experience.

In today’s digital landscape, customers are highly accustomed to technology, and they expect companies to mirror that sophistication. A negative experience can deter 56% of customers from making repeat purchases. Contrarily, McKinsey notes that CX-driven digital transformation can lead to a 20–30% increase in customer satisfaction and up to a 50% rise in revenue.

Why you should keep digital transformation customer-centric

Digital transformation is frequently compared to a technology race — a competition to integrate the latest tools into daily operations and introduce new product features quickly.

However, in the midst of the rush to optimize operations and overwhelm users with visually appealing interfaces, companies often find it challenging to convert these technology-centric investments into tangible value for their customers.

Success in this domain requires establishing a strong foundation before introducing additional layers of complexity to digital transformation initiatives. This foundation hinges on effective Customer Experience (CX) Design, which seamlessly integrates human expertise with technology to create memorable experiences, fostering brand loyalty and trust.

What is Customer Experience (CX) Design?

Customer Experience (CX) Design is the process by which businesses structure and arrange their services and products to optimize customer satisfaction at every stage of the customer journey.

It involves empathizing with customers, understanding their needs, preferences, and challenges, as well as tailoring offerings appropriately.

What’s the difference between CX and UX Design?

While CX and UX share a close relationship, they differ in their meanings and applications within digital business transformation.

UX (User Experience) is more specific, concentrating on users’ interactions with a digital product. Its goal is to enhance this experience through improvements in usability, accessibility, and the creation of visually polished interfaces.

On the other hand, CX (Customer Experience) is broader than UX, encompassing every interaction a customer has with a business. This includes the initial point of contact, such as encountering an advertisement, to post-purchase support. Given its comprehensive scope, CX often involves the integration of multiple channels, including retail outlets, customer service desks, online chat, chatbots, virtual assistants, and more.

Diagram showing the difference between CX and UX, with subdisciplines for each.

The role of CX Design in digital transformation

CX Design ensures that any technical upgrades or process changes are guided by an understanding of customer needs and behaviors, contributing to digital transformation and business growth in various ways:

  1. Customer Feedback Utilization: Collecting and leveraging customer feedback early and consistently allows for data-driven decision-making. This insight fuels behavior-based marketing and design, helping determine what resonates with customers.
  2. Consistency Across Channels: Ensuring consistency across digital channels aligns CX delivery with customer expectations. This approach improves personalized experiences by interconnecting channels, technologies, and departments - a key goal of digital transformation.
  3. Cross-Departmental Collaboration: A CX approach encourages collaboration across departments, enabling teams to work toward shared goals of enhancing customer satisfaction. This prevents siloed experiences that can frustrate customers, such as the need to repeatedly provide information to different representatives.
  4. 360-Degree View of the Customer: CX provides a comprehensive view of the customer, offering access to high-quality, real-time consumer data. This not only enhances decision-making but also allows for the organization of entire business operations around customer-centric principles, transforming into what Forbes describes as a “customer company.”

The 3 building blocks of Customer Experience (CX) Digital Transformation

Embracing a CX-driven digital transformation strategy involves not only changes in your departments but also a shift in mindset from a solely technical focus to a people-first approach.

This transformation can be achieved through strategic steps across three core building blocks to develop a customer-centric vision. Let’s discuss them together!

CX building block #1: data-driven customer insights

In the digital realm, one of the noteworthy advantages is the abundance of generated data.

Harnessing this data using Machine Learning (ML), Artificial Intelligence (AI), and predictive analytics enables companies to understand customer behavior at a detailed level, enabling the delivery of exceptional digital customer experiences.

Moreover, pulling insights from consumer data through dashboards, visualizations, and performance reporting, simplifies the process of establishing measurable goals for your CX transformation and monitoring progress.

Building a customer-unified data culture

As a company trying to enhance customer experience across all touchpoints, establishing a unified data culture is necessary.

This involves connecting the dots across various types of consumer data, spanning transactions, website analytics, social media interactions, and more.

Here are the steps to follow:

  1. Collect: Gather data from all significant customer touchpoints, ensuring compliance with data protection regulations like GDPR and CCPA.
  2. Consolidate: Consider using the same CRM across sales and service departments to improve success rates. Explore solutions that allow teams to collect and access customer data from a single platform.
  3. Analyze and Act: Implement changes based on patterns and trends observed in the data. Align your KPIs and action plan with customer data to make smarter decisions about areas that need improvement.
  4. Train: Utilize real-time data and insights from customer orchestration to help your team feel more connected to customers. Provide training on digital-first customer and data proficiency, ensuring customer-facing employees know where to find the information they need.
Steps for building a customer-unified data culture.

Using data to improve customer experience in fintech and healthcare

Organizations across industries are adopting data-driven strategies to enhance customer experience.

Here are examples of how businesses in the fintech and healthcare sectors leverage customer data to provide better products and services.

Credit scoring with alternative data: Fintech companies like Tala and Affirm use alternative data such as mobile phone usage, utility bill payments, and social media activity to assess creditworthiness, expanding access to financial services beyond traditional credit history.

Behavior-based fraud detection: Payment companies and banks employ behavioral data analysis to detect and prevent fraudulent transactions in real time, enhancing security and instilling confidence in their services.

Telemedicine and virtual health assistants: The surge in telemedicine services during the pandemic has increased reliance on electronic patient records and online appointments, enabling personalized healthcare remotely.

AI-driven personalized care plans: Healthcare providers utilize AI and ML algorithms to analyze diverse patient data, including medical history, lab results, and lifestyle factors. This helps in the creation of personalized care plans and tailored treatment recommendations.

CX building block #2: highly personalized customer experiences

In the modern era, customers expect personalized experiences, be it movie recommendations aligned with their watch history or financial advice tailored to their savings.

The importance of accurate personalization has increased significantly, with 71% of consumers expecting personalized interactions while 76% of people get frustrated when companies fail to deliver this level of customization, as reported by McKinsey.

Key steps to build a personalization strategy

Adding personalization to your digital transformation strategy can be a significant game-changer, serving as a key differentiator.

To achieve this, use your collected data to tailor experiences to individual customers and formulate an actionable personalization strategy.

Understanding your customers is critical. There is no one-size-fits-all solution for CX transformation and personalization. Therefore, mapping customer profiles and journeys is important. Develop comprehensive customer profiles and segment them based on shared traits and behaviors.

Go from simple to complex in your personalization efforts. Start with basic personalization like addressing customers by name and then advance to more intricate approaches, like fully customized journeys. Utilize existing resources, from marketing emails to micro-sites delivering location-specific content.

Invest in technology, incorporating AI, data analytics, and marketing automation tools that boost real-time personalization and dynamic content customization. These tools track individual customer behavior, triggering personalized communication based on their actions.

Establish feedback loops by gathering input from both customers and your team. Look for feedback not only on customer expectations but also on their experiences with your customer service processes. Additional insights from customer-facing employees can uncover potential CX issues.

Steps to build a personalization strategy for customer experience digital transformation.

A look into e-commerce AI personalization

With the remarkable growth of eCommerce, the abundance of choices has led to consumer fatigue.

Customers faced with too many options often end up choosing only if these options are precisely tailored to their preferences and searches.

AI-powered personalization has become the cornerstone of the contemporary shopper experience, addressing a growing number of use cases such as:

Personalized inventories for seamless navigation and product discovery

If you manage a large eCommerce platform with an extensive product catalog, customers may likely struggle to find what they’re looking for.

Machine learning algorithms can assess your inventory and customer profiles, presenting each client with only the most relevant products.

For further insights into how we helped an online retail store optimize personalized inventories through machine learning and data analysis, you can explore this article.

Dynamic pricing based on customer activity to incentivize sale

Dynamic pricing, powered by AI, helps online retailers to adjust their prices in real time by considering various customer data points such as browsing patterns, purchase history, and price sensitivity.

For instance, an electronics eCommerce platform can tailor the price of gadgets, providing a personalized discount to a customer who frequently explores their products but hasn’t made a purchase yet.

Using chatbots as personal assistants for enhanced shopping experiences

In the current landscape of online commerce, chatbots are evolving into a must-have feature.

Through the inclusion of data storage capabilities for previous conversations, purchases, and demographic information, these chatbots function as personalized shopping assistants.

Leveraging AI and ML, chatbots can ask about style preferences, offer product suggestions, and enhance recommendations based on customer feedback.

CX building block #3: consistent omnichannel customer experience and support

The era when a positive experience only involved providing goods or services to customers with a smile has passed.

Today customers engage with businesses across various channels and expect consistent experiences, be it browsing a website, interacting on social media, or submitting a support ticket.

Even though many companies utilize various channels for marketing, sales, and operations, not all of them integrate these channels into a cohesive customer experience.

A study by Harvard Business Review Analytical Services reveals that only 16% of businesses possess a comprehensive view of their customers, emphasizing the value of prioritizing multi-channel consistency in customer experience digital transformation.

Starting tips to ensure consistency in the omnichannel experience

Omnichannel consistency allows customers to feel that they can interact with your brand easily across various platforms, avoiding conflict, inconsistencies, or knowledge gaps.

Here are some initial tips on incorporating this approach into your digital transformation initiatives:

  • Optimize the number of channels: Focus on the channels that your customers value the most, making those touchpoints highly engaging and ensuring an integrated experience.
  • Implement cross-platform user analytics: Understand and track customer behavior across different contexts to create a seamless transition and provide personalized recommendations.
  • Adopt a design system for consistent UI/UX: Use a design system to maintain uniform button styles, font choices, and interaction patterns, preventing customers from feeling like they’re interacting with a different company when going between platforms.

3 omnichannel customer support best practices

Ensuring consistent service quality across various channels is one of the biggest challenges in omnichannel customer support.

Whether customers contact you through phone calls, emails, chatbots, or social media, the goal is to resolve their issues quickly and efficiently.

Provide alternatives when response time takes too long

Slow response times in customer service can have damaging effects on businesses. Customers usually find slow responses more frustrating than receiving no response at all.

To address this, consider offering options such as allowing customers to receive a response via email if the issue will take a while to resolve.

Also, implementing self-service options empowers customers to handle their concerns independently, reducing wait times and encouraging them to escalate issues to a live agent only when necessary.

Maintain a knowledge base to avoid asking for the same info twice

Customer frustration peaks when they are bounced between departments and platforms, repeating the same information to each of them.

To eliminate this problem, maintain a centralized knowledge base accessible to all customer service agents.

This approach guarantees that agents across various channels — be it social media, live chat, email, or phone support — have consistent information at their fingertips, enhancing efficiency and providing a seamless customer experience.

Implement company-wide tools and protocols for customer service

To excel in omnichannel customer service, businesses must establish a comprehensive ecosystem of tools and protocols that cover various aspects of the organization.

This may include central wikis and digital handbooks, an omnichannel contact-center platform incorporating call recognition, chat, video chat, email management, and a unified system integrating these platforms.

At the same time, implementing an inclusive training program accessible to all support agents, independent of their channel specialization, is very useful for providing uniform information and adherence to standardized support protocols.

Final thoughts

Companies that have a comprehensive 360-degree perspective of their customers and translate this data into actionable insights gain a significant competitive edge.

By prioritizing CX design at the core of digital transformation, businesses can provide seamless, personalized customer experiences across diverse channels, technologies, and departments, fostering increased trust and loyalty toward their services and products.

In a recent collaboration, ETEAM joined forces with Helpware, combining custom software development with premium BPO services. As a leading company in the industry, Helpware offers a complete suite of services, including AI operations, back-office, and omnichannel customer support, enabling businesses to improve their digital customer experience and take it to new heights.

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