The Evolution (or Destruction) of Customer Experience

The Evolution (or Destruction) of Customer Experience

The Challenges, Transformations, and Future in the Changing Landscape of CX

By Sean Albertson Founder & CEO, CX4ROCKS LLC

 

The field of Customer Experience (CX) is undergoing radical transformations. The digital age, characterized by rapid technological advancements and a shift towards data-driven practices, is reshaping how most companies approach CX. Traditional methods such as surveys and legacy research are giving way to tech-driven solutions and deep data analytics. In this article, we analyze the pressing challenges and potential opportunities for the CX workforce.

 

The Shifting Landscape: From Traditional CX to Tech-Driven Solutions

In recent years, the traditional approach to CX, anchored in surveys and customer feedback, has faced significant decline. Survey fatigue driving low response rates have mirrored the decline in roles explicitly tied to Customer Experience. In fact, it has become a struggle to find professionals with CX in their titles anymore. Couple this with ongoing layoffs of traditional CX teams, it shows a broader industry shift. Historically, CX has always lacked a stable organizational home, switching between marketing departments, customer support and digital roles. The emergence of Artificial Intelligence (AI) and data analytics has further disrupted this pattern.

 

The IT Department: Are They the New CX Hero or its Destroyer?

One of the most active shifts today is that IT departments are being asked to be the new “owners” of CX. IT teams are increasingly taking on responsibilities traditionally held by CX specialists, leveraging their data and analytics capabilities to evaluate customer experience. Then through deploying tech-driven “experience” solutions, IT departments are beginning to shape the future of customer interactions. However, this shift, while some would say is logical, it might be doomed to fail if IT teams do not bridge their own knowledge gap in their business and the fundamentals of customer experience.

 

Bridging the Gap: Humanizing Tech and Enhancing Legacy CX

There is a glaring gap in the industry: IT professionals often lack a thorough understanding of business dynamics and experience strategies, while traditional CX professionals may not possess advanced technical, or data analytics skills needed for this new age. This disconnect can impede progress, leaving room for misaligned strategies and unrealized potential. To overcome these challenges, there is an emerging need to humanize technology implementation for IT teams and simultaneously enhance the technical prowess of CX veterans.

In many ways, “CX” is giving way to "XA" or "Experience Analytics”, to encapsulate this evolving interplay between data, technology, and traditional customer experience. This new focus aims to combine the robust data-driven approaches of IT with the empathetic, customer-centric strategies of traditional CX.

 

The Role of Data and Analytics in Modern CX

Data and analytics is the key differentiator in modern CX. Traditional customer feedback and surveys, while foundational, do not suffice in today's complex environment. Understanding customers' emotions and behavioral patterns requires more granular, insightful data. Businesses must go beyond surface-level satisfaction metrics and dissect interactions at a transactional level - What actions do customers take? How do they react to specific brand interactions? What are the underlying patterns that drive satisfaction or dissatisfaction?

This fine-tuned approach demands sophisticated data analytics capable of uncovering hidden insights in customer behavior. However, merely generating a dashboard inundated with data is insufficient. The true value lies in discerning actionable insights from the data to drive meaningful CX improvements.

 

Creating Strategic Dialogue: The Path Forward

The path forward involves strategic dialogue and collaboration across departments. It is paramount that companies foster discussions that bring to light the root causes of CX challenges and exploring both short-term actions and long-term strategies to thrive in the new environment.

The CX industry stands at a crucial inflection point. The transition from traditional methods to a tech-driven, data-focused approach presents both challenges and opportunities. Bridging the gap between IT capabilities and CX fundamentals is essential for future success. By fostering collaborative discussions and focusing on actionable insights, businesses can navigate this evolving landscape and ultimately deliver exceptional customer experiences.

As the industry continues to evolve, the collaboration between traditional CX roles and IT departments, guided by data and human-centric strategies, will define the future of customer experience.

Janette La Vigne, PMP®, FCX-II

Client Experience Leader | Customer Experience Management | Passionate about CX | Driving Customer Feedback & Engagement

1mo

Great insights Sean. I think you hit the nail on the head. Thanks for sharing.

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Peter Reville

Vice President | Leading CX Strategy & Insight

5mo

Thanks for sharing a great post, Sean! Here’s my perspective: As we delve deeper into the behavioral aspects of customer interactions, it’s crucial not to overlook the attitudinal impacts. In other words, while it's essential to analyze how customers engage with our organization through data sources like call center logs and case studies (behavioral insights), we must also prioritize understanding how customers feel about these experiences (attitudinal insights). Focusing solely on internal metrics to guide changes and improvements risks losing sight of the customer’s perspective. Balancing both views ensures that our strategies remain genuinely customer-centric.

JP Snow

Customer Analytics & Strategy Leader | Empowering Growth Through Customer Insight and Transformative Scale | Fractional CCO/COO/CAO | Strategist Who Executes

7mo

Sean 🎤 Albertson Lots of great insights here. When CX emerged, it addressed a gap where businesses failed to understand the sum perspective from their customers' POV. Analytics has to be part of the solution, but there too the measures need to consider the net effects of everything together. (And NPS is no longer cutting it because of how it's typically used.)

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