Prediction: The future of CX

Here is an excerpt from an article written by Rachel Diebner, Mike Thompson, David Malfara, Kevin Neher, and Maxence Vancauwenberghe for the McKinsey Quarterly, published by McKinsey & Company. To read the complete article, check out others, learn more about the firm, and sign up for email alerts, please click here.

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Designing great customer experiences is getting easier with the rise of predictive analytics.
Companies of all stripes have invested heavily in tools and technologies to help them understand their customers more deeply and to gain the advantages of superior customer experience (CX). Yet as leaders strive to form a more complete picture of customer preferences and behaviors, they continue to rely on aging survey-based measurement systems that for decades have formed the backbone of CX efforts. Companies use these systems to track CX performance through brand or relationship surveys, “close the loop” on customer feedback via post-transaction surveys, and even plot strategic moves by attempting to mine the feedback from their regular surveys over time. Entire teams dedicate themselves to managing questionnaires and boosting response rates—and the resulting metrics can shape everything from employee bonuses and executive compensation to strategic investment decisions.
The trouble is, executives increasingly recognize that survey-based measurement systems fail to meet their companies’ CX needs—although surveys themselves are an important tool for conducting research. In fact, this article draws on our recent survey of more than 260 CX leaders from US-based companies of all sizes. 1 Ninety-three percent of these respondents reported using a survey-based metric (such as Customer Satisfaction Score or Customer Effort Score) as their primary means of measuring CX performance, but only 15 percent of leaders said they were fully satisfied with how their company was measuring CX—and only 6 percent expressed confidence that their measurement system enables both strategic and tactical decision making. Leaders pointed to low response rates, data lags, ambiguity about performance drivers, and the lack of a clear link to financial value as critical shortcomings.A few leading companies are pioneering a better approach that takes full advantage of the wealth of data now available. Today, companies can regularly, lawfully, and seamlessly collect smartphone and interaction data from across their customer, financial, and operations systems, yielding deep insights about their customers.
Those with an eye toward the future are boosting their data and analytics capabilities and harnessing predictive insights to connect more closely with their customers, anticipate behaviors, and identify CX issues and opportunities in real time. These companies can better understand their interactions with customers and even preempt problems in customer journeys. Their customers are reaping benefits: think quick compensation for a flight delay, or outreach from an insurance company when a patient is having trouble resolving a problem. These benefits extend far beyond the people typically thought of as “customers”—to members, clients, patients, guests, and intermediaries.
Early movers in the world of customer-experience analytics herald a fundamental shift in how companies evaluate and shape customer experiences.In this article, we explore how data and analytics are beginning to transform the art and science of customer experience. We present new research that brings clarity and a fact base to the shortcomings of survey-based measurement systems. We then examine how a few leaders have implemented data-driven CX systems and in turn reduced churn, boosted revenue, and lowered cost to serve. We end with insight on how to get started, including four key steps for CX leaders as they transition toward data-driven insight and action.The benefits are not automatic. Those just starting out will face stumbling blocks and organizational resistance. But with commitment, even companies with rudimentary CX systems, limited data, and a shortage of data scientists can begin laying the groundwork to transform their CX programs and their customers’ experiences.

The CX programs of the future will be holistic, predictive, precise, and clearly tied to business outcomes. Evidence suggests that the advantages will be substantial for companies that start building the capabilities, talent, and organizational structure needed for this transition. Those that stick with the traditional systems will be forced to play catch-up in the years to come.

‘Survey says’: The shortcomings of traditional CX measurement

While surveys themselves are a valid means of gathering customer insight, they fall short as a management tool for measuring CX performance and identifying and acting on CX opportunities. For organizations to lead from a customer-centric position, they increasingly need a comprehensive view of the full customer journey, as well as the ability to obtain deep, granular insight on what is driving customer experience. They need immediate and individual signals in order to take action “in the moment” and to create relevant experiences for each customer, and they need to demonstrate that the experience enhancements they would like to invest in will result in positive ROI. Survey-based systems have four major flaws that make those critical tasks nearly impossible (exhibit).

  1. Limited: The typical CX survey samples only 7 percent of a company’s customers, providing an extremely limited view of what customers experience and value. In fact, only 13 percent of the CX leaders we surveyed expressed full confidence that their CX measurement system provides a representative view of their customer base.
  2. Reactive: Surveys are a backward-looking tool in a world where customers expect their concerns to be resolved increasingly quickly. Nearly two-thirds of respondents ranked the ability to act on CX issues in near real time as among their top three priorities, but only 13 percent of leaders expressed certainty that their organizations could achieve this level of rapid insight through existing systems.
  3. Ambiguous: Surveys often fail to reveal the root causes of customer sentiment. In fact, scores can vary based on many outside factors, including geographical bias and industry shocks, making it difficult to perform reliable root-cause analysis using surveys alone. Only 16 percent of CX leaders said that surveys provide them with granular-enough data to address the root causes of CX performance.
  4. Unfocused: As one executive at a large financial-services company put it, “The association between survey-based scores and business outcomes is not well understood, and, as a result, many parts of the organization simply claim a business impact from their CX initiatives with no real evidence.” Several companies have recently come under fire for basing investment decisions on a survey-based score alone. Remarkably, of the CX leaders we surveyed, only 4 percent said that their system lets them calculate the ROI of CX decisions.

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After years of serving as the benchmark for defining and refining a company’s customer-experience performance, survey-based systems are heading toward their twilight. The future of superior customer-experience performance is moving to data-driven, predictive systems, and competitive advantages are in store for companies that can better understand what their customers want and need.

Here is a direct link to the complete article.

 

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