Most companies believe they are customer-centric because they measure customer experience. They track Net Promoter Scores (NPS®) and monitor customer satisfaction. They invest in surveys, dashboards and journey maps. And yet, when customer behavior shifts — or worse, when customers leave — those same organizations are often surprised.
The uncomfortable truth is that most Voice of Customer (VOC) programs are not failing because they lack data. They are failing because they were never designed to drive action.
This is emblematic of a broader trend highlighted in a report from Kyndryl’s Human Experience Expert Research. There’s a widening gap between how organizations believe they are performing and what customers actually experience. And although leaders have strong intentions and are investing in AI to improve the experiences they deliver, they too often find themselves caught between ambition and impact.
Why traditional VOC programs fall short
In the case of VOC, traditional “hero metrics” are not inherently flawed, but surveys and direct feedback capture only a fraction of the customer experience, and VOC essentially operates as a reactive listening system. Moreover, customers do not always say what they mean, or share everything they experience.
While most organizations treat these metrics as outcomes to track, optimizing for the score instead of the drivers behind it, leaders are transforming this scoreboard into a control system. Because customer expectations now evolve in real time, companies recognize the need to expand the narrow definition of ˝voice” and change how they listen.
Expanding the definition of customer voice
To broaden the definition of customer voice, stakeholders are tapping into information that collectively tells a far more complete story: behavioral data, operational friction points, call transcripts, digital interactions and financial patterns. Leading organizations are building signal ecosystems that integrate this direct, indirect and inferred feedback, moving beyond what customers say to include what they do and what their behavior implies.
This is a transformative shift. Because once VOC becomes a unified signal system, it can power something far more valuable than insight: decision-making.
The role of VOC in the enterprise is being redefined:
AI is the enabler that allows organizations to detect complex patterns, uncover hidden drivers of experience across structured and unstructured data, and predict future outcomes before they manifest in survey results.
Closing the loop between insight and action
Closed Loop Feedback (CLF) is at the center of these capabilities. Too often reduced to a compliance exercise of closing tickets, responding to detractors, or checking the follow-up box, CLF actually operates on two levels.
The inner loop focuses on the individual, using AI to trigger, prioritize and personalize responses that resolve issues and reinforce trust. This is where loyalty is won or lost. The outer loop focuses on the system, aggregating signals to identify root causes, quantify business impact and drive enterprise-wide improvements. This is where organizations move beyond merely identifying problems to anticipating and eliminating them before they occur.
The gap between these two loops is where most VOC programs break down. Companies either over-invest in service recovery without addressing systemic issues, or they generate insights without accountability for action. The result is a cycle of repeated friction masked by incremental improvements in scores.
Closing this gap requires rethinking how customer experience is measured and managed across the organization. To do this effectively, organizations must consider the overall perception of how customers experience key moments that define value and the granular interactions where experience is actually delivered.
While most organizations measure these areas in isolation, leaders connect them, linking micro-level interactions to macro-level performance. This synthesis is what enables analysis, accurate forecasting and meaningful prioritization. It is also what allows VOC to drive business performance, as organizations predict how a specific interaction will impact a broader relationship, or how a misstep may affect revenue or retention.
The next generation of VOC is not about collecting more feedback — it’s about building a business system that listens continuously, predicts what customers need, and turns every signal into action.
Kelly Slothower
Head of Experience Strategy, Kyndryl Vital U.S.
Building VOC into the business
As they mature their VOC programs, organizations will evolve through recognizable stages. Early-stage programs are reactive, relying on periodic, solicited feedback and siloed data. More mature models integrate multiple channels, increase the frequency of insights and begin to drive more consistent action. The most advanced organizations unify signals across all channels, listen continuously rather than periodically, and use predictive intelligence to act before issues escalate.
The business impact at this advanced level is significant. Organizations that operationalize VOC position themselves to see improvements in revenue through increased cross-sell and upsell success, reductions in cost through more efficient retention strategies, and gains in employee engagement as teams better understand how their actions influence customer outcomes.
But to realize these gains, companies must treat VOC not as a customer experience initiative, but as a core business system. The question for organizations is whether they’re prepared to take meaningful action from what their customers are already telling them, often without saying a word.