When I design and evolve a design system, I prioritize adoption over theoretical perfection.

A system that is partially imperfect but widely used creates more value than a refined system that teams avoid or bypass.

In real production environments, design systems compete with:

• delivery pressure,
• legacy constraints,
• and existing team habits.

Optimizing exclusively for conceptual purity often leads to:

• over-engineered abstractions,
• slow onboarding,
• and parallel solutions emerging outside the system.

Instead, I treat adoption as a primary success metric.

The system must be usable, approachable, and immediately helpful—even if that means accepting known limitations and planning to evolve them later.