Designers talk about thinking objectively. They point to research, analytics, established patterns. They frame their choices as inevitable conclusions from data.
This is partly true and mostly theater.
The spectrum, not the binary
Some design decisions lean toward measurement. Conversion rates, task completion times, error frequencies—these give you numbers. Information architecture can be tested. Interface patterns can be validated against existing mental models.
Other decisions resist measurement entirely. Why this typeface? Why that color temperature? Why does one layout feel premium and another feel cheap? These live in accumulated experience, cultural absorption, personal history. They're fingerprints.
But here's what gets missed: the measurable decisions rest on subjective foundations. You chose what to measure. You decided which metrics matter. You picked the user segment to study. The "objective" frame was built from subjective choices all the way down.
Even interface conventions—patterns we treat as rules—are cultural artifacts. The hamburger menu means nothing to someone encountering it for the first time. "Intuitive" usually means "familiar to people like us."
Why the objectivity claim persists
Objectivity sounds authoritative. It ends arguments. "The data says" carries more weight in a meeting than "I feel this is right." Designers learned to translate their instincts into the language of evidence because that's what gets approved.
This translation isn't dishonest. But it obscures where the actual design work happens—in the judgment calls that precede and follow the data.
The AI inversion
Optimization is now cheap. AI can test a thousand variations, find the conversion-maximizing layout, generate the statistically safest interface. The parts of design that were most "objective" are precisely the parts becoming automated.
What remains scarce? Taste. Vision. The ability to make a choice that data can't justify but users recognize as right. The subjective layer.
Rules exist to encode past solutions. Breaking them thoughtfully requires understanding why they formed and sensing when conditions have changed. This is pattern recognition operating beyond what can be articulated—exactly what AI struggles to replicate.
Working with the spectrum
Acknowledge where your decisions sit. When you're in measurable territory, measure. When you're in judgment territory, own it. Don't dress intuition as data or dismiss data as irrelevant.
The discomfort some designers feel about subjectivity comes from treating it as weakness. It's the opposite. Your accumulated experience, your specific sensibility, your willingness to make choices that can't be fully defended—this is what makes your work yours.
The salt in the recipe isn't contamination. It's the reason anyone would want to eat it.