Overview

Most designers assume better UX universally improves outcomes, but my research revealed this assumption fails for digital consent, where legal compliance, user comprehension, and trust exist in fundamental tension. I conducted mixed-methods research testing three consent interface designs with ten participants across thirty sessions, measuring comprehension, trust, clarity, and behavior to identify which design patterns actually work and which create false optimization.

The result is OpenConsent, a framework of ten evidence-based principles that acknowledges the inherent trade-offs in consent design rather than promising universal solutions, giving designers research-backed guidance for navigating decisions like transparency versus simplicity or control versus comprehension.

The framework was developed as my MA thesis at Falmouth University, validated by senior practitioners, and addresses a documented gap identified by regulators who've criticized current consent approaches as placing unrealistic burdens on users while failing to deliver genuine understanding or choice.