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What Data Quality taught me about UX

Trust isn't only about numbers. It's also designed.

Editorial cover about data quality and UX design

My professional journey began around data and processes. Over time I started revisiting the same questions through experience design: what does someone need to understand, decide and move forward with confidence?

Consistency is something people feel

An ambiguous definition can change an entire metric. In an interface, inconsistent naming for the same action can confuse people. In both settings, consistency creates a stronger mental model.

I like to think of products as conversations: when a message changes meaning halfway through, people lose a reference point.

A number doesn't explain itself

A figure isn't useful until you understand its calculation, period, inclusions and limitations. Digital products work the same way: showing information is different from helping someone interpret it.

Clear hierarchy, examples and plain language make information actionable.

A question I keep asking

What decision should someone be able to make after seeing this screen? If the answer isn't clear, there is probably more research, writing or design to do.

  • Explain sources when they matter.
  • Keep terms consistent.
  • Disclose important limitations.
  • Test understanding with real people.
Good data and good UX share an essential goal: helping people understand without adding noise.