Four Levels Of Customer Understanding

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Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing, he’s most probably running front-end & UX … More about Vitaly ↬

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What people say, feel, think, and do are often very different things. To understand the underlying reasons for user behavior, it helps to look beyond the surface and explore hidden motivations, root causes, and the different layers of reality that shape how people act. Brought to you by Measuring UX Impact, friendly video course on UX and design patterns by Vitaly.

Many companies think they know fairly well what their users want and need, and how they make their decisions. Yet most of the time these are merely big assumptions and big hunches — with little real evidence to support them. In practice, obvious reasons might be true, but they rarely paint the full picture.

To understand our customers, we must triangulate across four levels of customer understanding by Hannah Shamji. It’s a useful way to think about the underlying reasons for user behavior, hidden motivations, and the complex layers of messy and noisy reality that are often overlooked. Let’s see how it works.

A diagram titled Understanding Customers: Four levels of customer understanding, showing four nested pink circles, each representing a level of understanding, with descriptions beside. From outermost to innermost: Level 1 (What they say), Level 2 (What they think or feel), Level 3 (What they do), and Level 4 (Why they do it).
Four levels of customer understanding: what people say, think or feel, do, and why they do it. By Hannah Shamji. (Large preview)

Don’t Ask Users Your Burning Questions

To learn about customers, it might seem reasonable to ask people what they think and draw conclusions from it. But it’s rarely an effective way to get actionable answers. In fact, as it turns out, what people think, feel, say, and do are often very different things.

A list detailing six reasons people cancel subscriptions, categorized into voluntary and involuntary churn, with explanations for each.
People don’t always cancel because they want to. Reasons for voluntary and involuntary customer churn. By Emily Anderson. (Large preview)

As Erika Hall wrote, asking a question directly is the worst way to get a true and useful answer to that question. We don’t always understand or are aware of our true motivations. We often apply our own context and interpretations to questions.

We also exaggerate (a lot!). We focus on edge cases and unrealistic scenarios, and we favor short-term goals over long-term goals. So if users say that they absolutely need to compare products in a table, it doesn’t mean that they couldn’t get to their underlying goal without it.

“Possible” vs. “Probable”

Just to indicate how tricky listening to words alone is: even little nuances in words chosen matter. In practice, users are rarely precise in expressing their thoughts, and a good example is the distinction between possible, plausible, and probable, as discovered by Thomas D’hooge.

A chart showing overlaid density plots (ridge plots) that illustrate the numerical interpretation of various probability phrases
Numerical interpretation of probability phrases and their ranges. Source. (Large preview)

A study on Dutch verbal probability terms shows how unreliable the choice of words is. While extreme words have some agreement, terms like “possible,” “maybe,” “uncertain,” or “likely” lead to a wide spread of interpretations. So we shouldn’t rely on what people say, but rather try to go deeper.

The Levels Of Understanding

To get a more realistic and less biased view of customers’ needs, we need to understand a broader picture across 4 levels:

A diagram titled Understanding Customers: Four levels of customer understanding, showing four nested pink circles, each representing a level of understanding, with descriptions beside. From outermost to innermost: Level 1 (What they say), Level 2 (What they think or feel), Level 3 (What they do), and Level 4 (Why they do it).
Four levels of customer understanding: what people say, think or feel, do, and why they do it. By Hannah Shamji, visualized by Helio. (Large preview)
  • Level 1: “What they say”
    Easier to collect, but mostly opinions, and most unreliable. People often explain their behavior through the lens of how they perceive it, or how they want it to be perceived, which isn’t always accurate. We shouldn’t rely too much on CRM data, surveys, or polls.
  • Level 2: “What they think and feel”
    Gives more context, but is still heavily shaped by memory and personal preferences. Good user research and interviews help us understand expectations and experiences.
  • Level 3: “What they do”
    We study actual behavior, actions taken or skipped, usage data, and analytics. We run task analysis and workflow analysis to understand how people use the product.
  • Level 4: “Why they do it”
    We study underlying motivations and root causes, through observations of real workflows and in-depth interviews. Typically, it requires a trustworthy relationship with the user, repeat interviews, and task walkthroughs.

Personally, I wouldn’t recommend NPS (alternative). It’s worth noting that different levels might reveal conflicting or contradictory data. To get a better understanding, we need to triangulate and reconcile data with mixed-method research.

Capturing Emotions And Nuance

Emotions are always difficult to capture, but they are easier to spot once you observe people doing what they need to do without external influence or interruptions. The ability to positively impact users grows by moving from sympathy to empathy or even compassion, as articulated by Sarah Gibbons.

A diagram titled ‘Spectrum of Empathy’ with a vertical ‘Effort’ axis and a horizontal ‘Understanding & Engagement’ axis. Four overlapping circles, increasing in size from left to right, represent Pity, Sympathy, Empathy, and Compassion, each with a corresponding phrase.
Spectrum of Empathy: from pity to sympathy to empathy to compassion. By Sarah Gibbons. (Large preview)

In the past, I was using “speak-aloud” protocol and asked users to walk me through their thought process as they were completing tasks. But it actually turns out to be quite disruptive. Because people are focused on speaking at the same time while solving a task, many emotions remain hidden or obscured by their language.

So, when conducting usability testing, I don’t ask users to speak through their experience. Instead, I observe where they tap or hover with the mouse, where their mouse circles without an action, where they scroll, and how long. Eventually, when a user confirms that they are done or that they are stuck, I ask questions.

A colorful circular chart of emotions, starting with Happy, Sad, Angry, Fearful, Bad, Surprised, and Disgusted at the inner ring, branching out to more specific feelings in the outer rings.
The Wheel of Emotions helps articulate emotions more precisely. (Large preview)

The Emotion Wheel (website) by Geoffrey Roberts is a helpful little tool for better describing a range of emotions during user interviews or design sessions. It certainly needs refinement for product design needs, but it helps us get more precise about the sentiment customers or colleagues might be experiencing, moving beyond just “good” or “bad”.

One helpful trick is to use mirroring — repeating what a user has said, or ask the same question twice, just paraphrasing it. Or navigating the emotions wheel (see above) to better capture and understand the emotion.

These strategies help uncover some of the issues that perhaps didn’t come up in the first answer. That’s also when a user tends to add more useful context and details as they explain their confusion.

Emotions Aren’t Everything

Some people strongly disagree:

“Our work is about others — their problems, their pain, their mess. Our job is to make sense of it and then do something about it. Not to emote or perform but to act on and solve it. There is a flawed belief that to build great things, you first need to emotionally fully absorb someone else’s experience.”

— Alin Buda
A diagram categorizing potential harms of solutions into mild, serious, lasting, and systemic, with corresponding examples.
Different solutions can cause different levels of harm, which can be way more severe and impactful than emotional response. By Indi Young. (Large preview)

I think that Alin brings up a very strong argument, and personally, I find it difficult to disagree with. However, I do see user’s emotional response as a signal of how well the product is working for them. How engaged or detached they are in their journey, how they react to aesthetics, how confused or confident they are.

Ultimately, these are signals. To make a difference, we must go beyond emotions and explore what people actually do. Usually, this means relentlessly observing, diagnosing, and focusing on underlying user needs.

Observe And Diagnose, Don’t Validate

Instead of asking, we need to observe. Usually, I focus on small things that make or break an experience. I see where users lose time, repeat actions, hover without clicking, or click and then go back. Pay attention to subtle cues like scratching their neck, raising eyebrows, or expressions of worry, joy, or confusion.

Many companies talk about “validation” through user testing, but often that means simply confirming existing assumptions. But we should instead diagnose existing behavior without preconceived notions or affiliations. We don’t validate — we actually research instead.

A diagram categorizing potential harms of solutions into mild, serious, lasting, and systemic, with corresponding examples.
Words to use instead of “validate”: research, understand, investigate, assess, evaluate, examine, learn. By Nikki Anderson. (Large preview)

That research means not just understanding customers’ real motivations, but also risks, doubts, concerns, worries, and perhaps even harms.

The only way to get there is by building a sincere, honest, and trustworthy relationship — one that feels right and resonates deeply. When customers truly care and want to help, getting to a real understanding becomes much, much easier.

Practical Ways To Uncover User Needs

We don’t need expensive tools to uncover user needs. David Travis provides a fantastic overview of helpful strategies to do just that. Here are some initiatives to spread the word about real user’s struggles or gain a deeper understanding of user needs:

  • Exposure hours, when every employee must be exposed to their customers for at least 2 hours every 6–12 weeks.
  • Live UX testing, where we invite everyone in the company to join and observe.
  • Co-design with users, where we show new features and ask users to rank them.
  • Helpdesk insights, where we ask for frequent complaints and questions from the support every 3–6 months.
  • Listening in, where we tune in on a customer service call, web chat, or eavesdrop where users hang out.

The core idea here is that you don’t need extensive and expensive tools to uncover user needs. You need to create spaces where customers’ struggles can be exposed and make these struggles visible across the entire company.

It can be short video clips of user sessions or a monthly newsletter with what we learned this month. Making these pain points visible can rally everyone from marketing to engineering to keep users’ struggles at the back of their minds.

Wrapping Up

To make an impact, we must go way beyond user feedback. It’s never enough to listen to surveys — we must observe customers’ actual behaviors and build relationships to truly understand their goals and their motivations.

And most importantly, we need to understand what questions we actually want to have answered. Not what “validation” we need to move on with the project, but what we don’t know and what we need to research.

Without it, everything else is merely hunches and assumptions — and often wrong and expensive ones.

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Useful Resources

Useful Books

  • Deploy Empathy: A practical guide to interviewing customers, by Michele Hansen
  • Humankind, by Rutger Bregman
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