What If Your Data Is Telling You One Thing, but Your Customers Are Telling You Another?

I recently read an article by Bruce Kasanaoff that raised an interesting question: are we measuring employee and customer performance purely through metrics, instead of taking the time to understand what people actually need?

When Data Becomes the Desired Method

Data has become one of the most important tools for modern businesses. It helps companies understand trends, measure performance, identify opportunities, and make better decisions.

But is it really that simple? Can numbers alone tell us what customers actually want?

What if your data is telling you one thing but your customers or employees are telling you another?

I can understand why the idea of big data has grown so rapidly. The value of data is very easy to sell. It's a clear, almost mathematical way to analyse trends and drive marginal gains within a business or product.

The Problem With Measuring Everything

What if the fundamental approach to measuring a product is actually making it worse? What if we're focusing so heavily on numbers that we lose sight of the people behind those numbers?

Consider a product team that tracks hundreds of metrics every day:

• Daily active users
• Conversion rate
• Average session duration
• Customer retention
• Click-through rate
• Revenue per customer

These metrics can be extremely useful, but they don't necessarily explain why customers behave the way they do.

Three Things We Should Consider

1. Understand the numbers. Know what the data is actually measuring.
2. Understand the people. Talk to customers and employees directly.
3. Connect both perspectives. Use qualitative insights alongside quantitative data.

Questions Worth Asking

• About customers
  • Why did they choose the product?
  • What problem were they trying to solve?
  • What made them come back?
• About employees
  • What is slowing them down?
  • What tools do they need?
  • What motivates them?

Emotional Selling

As often as Apple is used as an example, in this case they really are the example of emotional selling.

Apple was built around creating products that consumers didn't necessarily need, but that they desired.

People don't always buy products because they need them. Sometimes they buy them because they want to feel something.

Why Emotion Matters

Emotion can create an affinity toward a product that pure rational analysis cannot always explain.

This is why storytelling, branding and customer experience can be just as important as product functionality.

Useful Resources

You can learn more about Apple's approach to product design or explore customer research methodologies .

You can also visit our About page, check out our latest articles, or contact our team.

UX, Data and Customer Behaviour

On the back of that success story, UX has become a big player in most leading businesses, changing the way they approach consumer and product strategy.

A product manager might look at user behaviour data and discover that customers are abandoning a particular page.

The data tells us where the problem is. User research can often tell us why.

Data vs. Human Insight

Small Details Matter

Sometimes a small change can have a significant impact on the overall experience.

For example, changing a button from Submit to Get Started may change how users perceive the next step.

Understanding Context

Numbers without context can easily lead to the wrong conclusion. A conversion rate might decrease because of a product problem, but it could also decrease because of seasonality, pricing, competition, or an external event.

A Note on Measurement

Metrics should support decision-making, not replace it.

Example of Inline Code

A developer might track a value such as conversionRate or customerRetention inside an application.

const customerInsight = {
  metric: "conversionRate",
  value: 42,
  context: "Checkout experience",
  qualitativeFeedback: true
};

Key Terms

Quantitative Data

Numerical information that can be measured and analysed statistically.

Qualitative Data

Descriptive information gathered through interviews, observations, feedback and conversations.

Customer Experience

The overall perception a customer develops through interactions with a brand.

Text Formatting Examples

This is bold text. This is italic text. This is underlined text. This is strikethrough text. This is highlighted text. This is small text.

Water is represented as H₂O and a squared value can be written as X².

Looking Beyond the Numbers

In a world where fast results matter, it can become harder than ever to secure and dedicate development time to people, research and experimentation.

At previous companies, I have found myself in situations where teams were expected to deliver quickly while also trying to understand the customer.

The answer isn't to stop measuring. Instead, the goal should be to understand what the measurement means.

A Better Process

1. Collect quantitative data.
2. Investigate the findings.
   • Interview customers.
   • Talk to employees.
   • Review support conversations.
3. Identify patterns.
4. Build and test solutions.
5. Measure the result again.

The best product decisions happen when data and human understanding work together.

What's your experience of this? Have you struggled to sell UX or found creative ways to sell emotion to stakeholders?