Voice of the customer (VoC) refers to the capturing of customer feedback, expectations, preferences and requirements, along with analysis of that data, so organizations can understand how it really feels to do business with them. When done correctly, it informs nearly every customer experience (CX) decision your organization makes with data as evidence.

The customer’s voice matters. In PwC’s 2025 Customer Experience Survey, 52% of consumers said they’ve stopped buying from or using a brand due to a poor experience with one of its products or services. And 70% of executives from the same survey think customer expectations are changing more quickly than their companies can keep pace.

There’s rarely a shortage of data to analyze. Organizations typically struggle because they have too many fragmented signals from surveys scores, call recordings, chat logs, emails, reviews, support tickets, etc. What they lack is a cohesive view of what customers truly need and a way to take action with that insight to make meaningful CX improvements. According to CallMiner’s 2026 CX Landscape Report, 68% of CX and contact center leaders believe they don’t leverage CX data to its fullest potential, which is an increase from 62% last year.

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The best VoC programs help close that gap by bridging what customers say when prompted via surveys and direct feedback with what they actually reveal during interactions with your business. This article highlights actionable VoC best practices that can help CX teams gather better insights, and more importantly, do something with those insights.

Why voice of the customer matters for customer experience

Too often, organizations design CX around what they assume customers want, what leadership thinks is important or what a few headline metrics seem to indicate. Guessing can lead organizations astray. According to PwC, nine in 10 executives say customer loyalty has increased in recent years. Only four in 10 consumers say the same. Instead of relying on assumptions, a Voice of the Customer (VoC) program uncovers the truth about your customer experience across the journey.

A strong VoC program brings measurable value to your organization. It can help you:

• Discover common friction points and pain points that lead to frustration, repeat contacts, and wasted effort
• Learn what your customers expect from your organization and how they really feel about your products, policies, and processes
• Identify issues earlier, before they mushroom into a wave of calls or cancellations
• Allocate resources to the CX improvements your customers need most, maximizing your investment
• Boost retention, loyalty, and customer satisfaction by resolving the issues that matter most to your customers

Improvement is possible. For years, we’ve seen continuous declines in CX performance, but Forrester’s 2026 CX Index reported that 20% of measured brands across the globe increased their CX score and 8% decreased.

There’s also a critical difference between listening to customers and actively learning from them. Sure, plenty of organizations send out surveys and read the occasional complaint. But far fewer are disciplined in how they learn from every customer interaction and behavior pattern. That’s where the true power of VoC shines.

7 voice of the customer best practices for CX

No single tool or technique will make your VoC program successful. Success is based on how effectively you collect, correlate, and act on customer feedback. The following seven best practices address each step of this process, from broadening your feedback capture to developing repeatable processes that translate insights into quantifiable CX improvements. By implementing these best practices, you can evolve from listening to customers to truly learning from them.

1. Capture feedback across multiple customer touchpoints

Using only one source of feedback leaves you with a limited and sometimes distorted view of the customer experience. While surveys conducted after interactions and online reviews are useful, they only provide feedback once an interaction has concluded and tend to overrepresent extremely satisfied or frustrated customers. Customers may also experience survey fatigue if they’re repeatedly asked to participate.

These limitations show up in results. According to CallMiner's 2026 CX Landscape Report, organizations that describe their automated customer experiences as mixed or negative are more likely to rely on post-interaction surveys and online reviews. Organizations reporting the most positive experiences, by contrast, draw more on data captured during interactions, such as conversation transcripts and performance data from chatbots, voicebots, and IVR. Rather than depending on any single source, combine surveys (CSAT, NPS, and CES), contact center calls, chats and messaging, emails, social media and online reviews, and support tickets.

A mix of sources allows you to fill in blind spots and see a more complete picture of how different types of customers interact with your organization. It also allows you to collect unsolicited feedback. While conducting a call or chat with your service team, customers will often mention issues they wouldn’t think to include in a feedback survey. In fact, these unprompted comments can be the most insightful VoC data you can collect. Read more about where VoC data comes from and how to analyze it.

2. Analyze every customer conversation, not just a sample

Most organizations still depend on reviewing a sampling of interactions manually, sometimes only five to 10 conversations per agent per month. Automated CX analysis is on the rise. According to the 2026 CX Landscape Report, 66% of organizations reported that they use automation to analyze their CX data, which is up from 53% in 2025. But that still means that roughly one third of all organizations aren’t automating CX data analysis. And that leaves plenty of businesses manually reviewing interactions, which is slow, inefficient, prone to inconsistencies, and statistically insignificant. Valuable trends can go unnoticed in the sea of customer conversations that were never reviewed.

Conversation intelligence and automated interaction analytics put your customer conversations under a microscope. By reviewing every interaction across every channel, you’ll be able to identify signals like:

• Customer sentiment and emotion
• Reasons for contact
• Complaints and recurring problems
• Product/service feedback
• Churn flags
• Competitor mentions

The value is in the trends: one customer frustrated with a confusing bill is an anecdote, but one customer shouting about a confusing bill on every call is a trend. It’s clear there’s a problem that needs addressing. And while this type of insight could be detected by reviewing survey responses, it’s unlikely that someone reviewing interactions manually would catch it. Learn how conversation intelligence helps you act on customer feedback.

3. Combine structured and unstructured customer data

Examples of structured data are survey scores, CRM fields, customer demographics and transaction data. Unstructured data includes call transcripts, emails, chats, reviews and freeform survey responses.

While each can tell you part of the story, it's when you analyze them together that you really gain insight into what's behind your quantitative CX metrics. Seeing your CSAT score gradually decline can tell you what is happening. Digging into your conversations can tell you why. Maybe customers are upset about a recent policy update or are confused about a new account verification step.

4. Segment VoC insights instead of relying on averages

Organization-level averages can mask critical variation. Your overall satisfaction score may be steady, while new customers or users of a certain product may have experienced a sudden drop.

Segment your insights by customer type/lifecycle stage, product/service, channel, reason for contact, location, agent or team, high-value or at-risk customers and more. Segmentation allows CX teams to see precisely who is having which issues so they can focus on making the most meaningful improvements.

5. Connect VoC insights to the complete customer journey

Examining interactions in a vacuum can only get you so far. People experience your organization as a journey that typically spans multiple channels and touchpoints.

Link conversations and feedback to that journey and identify trends across interactions. Where are customers consistently experiencing friction? Where are they being bounced between channels? What problems cause customers to reach out to you repeatedly? Journey intelligence shines a light on systemic CX issues instead of viewing each interaction in isolation.

6. Share VoC insights across the organization

VoC isn’t solely a contact center initiative, but sharing insights across teams is still one of the biggest challenges. In fact, 94% of organizations say there’s a lack of alignment on CX data and feedback across departments per CallMiner’s 2026 CX Landscape Report. Customer insights can help (nearly) every area of your business improve:

• Product teams - feature requests and common product pain points
• Marketing - language, customer needs and brand perception
• Sales - customer objections and competitive mentions
• Operations - process friction
• Compliance - risky interactions or frequent complaints
• Customer service - coaching opportunities and service tweaks

Share insights with the people who can do something about them by democratizing data through dashboards, alerts, scheduled reports and cross-functional reviews. Check out these voice of customer examples for inspiration.

7. Close the loop by turning customer insights into action

Gathering feedback and analyzing it is of little value if you don’t act on it. Here’s a repeatable process you can follow to drive action:

1. Identify a recurring customer complaint.
2. Find the root cause.
3. Own it.
4. Make it better.
5. Measure whether the change resulted in a better customer outcome.

You can use VoC data to track results after you’ve implemented changes so you know what’s working and what needs revisiting. If possible, close the loop with the customers themselves as well. Informing a customer that their feedback resulted in a resolution can go a long way toward building trust.

How AI strengthens voice of the customer programs

Voice of the customer programs become broader in scope and continuous with artificial intelligence and conversation intelligence. AI doesn’t have to rely on the finite data that a handful of people can read or listen to. With AI, you can evaluate every interaction, and surface the ones that matter. Conversation intelligence tools can:

• Transcribe and analyze every customer interaction, for both voice and digital channels
• Categorize conversations by topic or intent
• Detect sentiment and emotion
• Identify trends as they’re happening
• Create summaries from large volumes of data into clear, actionable insights
• Surface anomalies or repeated friction that should be investigated

No longer are voice of the customer programs limited to quarterly surveys and the occasional deep dive. These AI-powered capabilities create a continuous customer intelligence program. CX teams will know when customers experience problems, and can respond right away.

Customer Intelligence is even more important as automation becomes more prevalent. According to CallMiner’s 2026 CX Landscape Report, 99% of CX leaders are using some form of automation, but only 24% say it’s creating “very positive” customer experiences. Only 30% of organizations are using customer insights to improve their automated experiences, and 76% admit that automation is driven by internal needs, not customers. Voice of the customer data helps organizations align those two forces.

Turn every customer conversation into CX intelligence

Successful VoC programs capture feedback broadly, analyze conversations at scale, correlate insights across the entire customer journey and establish processes to act on what customers tell them. Each of these four practices amplifies the others. Together, they convert fragmented feedback into a powerful engine that drives continuous CX improvement.

At the core of that engine are customer conversations. Live chat, calls and other messaging channels are one of the most valuable sources of VoC data that exists. Customers are telling you what they want and need (what’s going wrong and what they expect) in their own words and often in far greater detail than could ever be captured by a survey. That’s why instead of focusing primarily on solicited feedback, CallMiner empowers organizations to learn from customer conversations at scale, across every channel and interaction.

CX hasn’t fully recovered and customers are more ready than ever to take their business elsewhere after a bad experience. The companies that listen to every customer conversation will have the greatest opportunity to identify and address issues before they escalate.

Ready to hear what your customers are really telling you? Request a demo today to discover how conversation intelligence from CallMiner can surface customer insights that help you improve CX.

Frequently asked questions

What are some common VoC methods?

Methods include surveys, interviews, focus groups, customer reviews and testimonials, social listening, customer support interactions, and call/chat analysis. Robust programs will pull from multiple direct and indirect sources instead of focusing on just one method.

What are the three main types of VoC data?

Voice of customer data is typically categorized into three main groups. Direct feedback consists of what your customers tell you when you ask them for their opinion (i.e., a survey response). Indirect feedback comes from what your customers are saying when you’re not asking them (i.e., online reviews, unsolicited complaints on a support call). Inferred feedback comes from analyzing customer behaviors and interactions (i.e., repeat contacts about the same issue, abandoned purchases which can indicate friction).

How do I strengthen my voice of the customer program?

Tap into additional data sources, and analyze more customer interactions. Combine structured and unstructured data, and look beyond averages to segment insights. Share insights across departments, and close the loop so insights lead to measurable actions.

How can conversation intelligence enhance voice of the customer programs?

Conversation intelligence uses automatic analysis of customer interactions at scale to reveal insights about topics, sentiment, trends, pain points and more. It captures what surveys and manual analysis often miss, providing CX teams with a complete, ongoing view of the customer experience.