Stop Making It Hard To Reach A Human

For years, contact centers have been measured on how well they can contain, deflect, or automate contacts. Digital self-service and AI have become strategic priorities, and CX leaders expect self-service and live chat to overtake phone and email as primary service channels within the next couple of years. But there’s a deeper question that often gets ignored:

Why did the customer need to contact you in the first place?

Every inbound interaction is a data point about something upstream: unclear communication, confusing digital journeys, broken processes, billing surprises, or gaps in your product. When you only optimize handle time and deflection, you’re treating the symptom, not the disease.

Step 1: Treat contact demand as a solvable problem

Across industries, 20–40% of inbound customer contacts are considered preventable, driven by issues like unclear policies, poor communication, or process friction. In some organizations, leaders who do detailed demand analysis find that avoidable contact can climb even higher.

• Instead of accepting that volume as “just the cost of doing business,” treat it as an operations and product problem, not just a staffing problem.

• Map top contact drivers (no more than 20–30 categories) and assign a clear owner for each reason in the business.

• Use simple root cause analysis to ask “why” until you get to a fixable upstream issue.

• Tie the cost of those contacts to the process or product that generates them so leaders feel the financial impact.

​When you reduce avoidable demand, you don’t just lower costs, you free human agents to focus on higher‑value, emotionally complex interactions where they actually make a difference.

Step 2: Make self-service the path of least resistance

Customers are increasingly willing to use digital channels, but self-service still fully resolves only a small fraction of customer issues. Many journeys start in self-service, fail, and end up with the customer repeating themselves to an agent—creating frustration and cost.

The goal isn’t to force customers into bots; it’s to design self-service they would choose because it’s faster and clearer than waiting in a queue.

That means:

• Focusing self-service on well-defined, simple tasks (payments, status checks, basic account updates) and ensuring they actually work end to end.

• Building a strong knowledge base as the backbone of self-service, so bots and search can surface accurate, consistent answers.

• Providing an easy, visible escape hatch to a human when the issue is complex, emotional, or high-value.

When customers can reliably handle simple needs on their own, live agents spend less time re-keying data or reading scripts and more time using judgment, empathy, and product expertise.

Step 3: Use data to be proactively helpful

Most organizations already sit on rich customer data: products held, recent transactions, usage patterns, open cases, and lifecycle events. Leading brands use this data to personalize recommendations and reach out with relevant guidance exactly when customers are likely to need it.

For contact centers, that can look like:

• Predicting intent based on context (recent order, failed payment, outage) and presenting tailored options at the start of the interaction.

• Triggering proactive messages when you know customers are likely to be anxious, like status updates on claims, orders, or applications, so they don’t have to call for reassurance.

• Surfacing the “next best action” to agents so they can resolve related issues in a single interaction instead of creating repeat calls.

This doesn’t require advanced AI from day one. It starts with using the data you already have to anticipate needs and remove friction before the customer feels it.

The nuance: When customers don’t have a choice

In sectors like utilities, or government services, customers often have no realistic alternative. That lack of choice sometimes leads organizations to tolerate poor experiences and chronic volume because they assume customers are captive.

In reality, these environments are where upstream fixes matter most.

If you can’t easily add more agents, you must reduce the reasons people need to contact you.

​Clearer communication, proactive notifications, and reliable self-service can dramatically reduce “where is my…?” and “what’s going on?” calls.

When customers do need a human, often for high-stakes, emotional, or complex situations, your agents finally have the bandwidth to handle those moments properly.

Even when customers can’t switch providers, they can still escalate to regulators, or c

omplain publicly, and erode trust. Avoidable friction in these contexts creates reputational and compliance risks, not just operational strain.

The mindset shift: value the contact

There’s one more mental reset leaders need, every time a customer contacts you, they’re choosing engagement over silence. In many markets, they could have just churned quietly to a competitor after a bad experience, and in regulated markets they could have gone straight to public complaints.

When you treat each interaction as a signal of trust (“I believe you might fix this”), and A datapoint in a pattern of preventable friction, you start to see your contact center as a continuous improvement engine, not a cost center.

The organizations that will win the next era of CX aren’t the ones that make it hardest to reach a human.

They’re the ones who:

• Aggressively remove avoidable demand.

• Build self-service that actually works.

• Use data to be proactively and personally helpful.

If you get those foundations right, “talking to a human” becomes a premium experience, reserved for the moments where it truly matters, and delivered by agents who finally have the time and tools to do their best work.

If you're ready to make the shift, reach out! We'd love to discuss how we can help!